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-rw-r--r--R/llhist.R7
-rw-r--r--R/multistart.R4
-rw-r--r--R/parhist.R58
-rw-r--r--docs/dev/articles/web_only/multistart.html6
-rw-r--r--docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-2-1.pngbin52067 -> 61772 bytes
-rw-r--r--docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-3-1.pngbin50142 -> 56540 bytes
-rw-r--r--docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-4-1.pngbin39793 -> 39866 bytes
-rw-r--r--docs/dev/pkgdown.yml2
-rw-r--r--docs/dev/reference/parhist.html23
-rw-r--r--man/parhist.Rd10
-rw-r--r--vignettes/web_only/multistart.R7
-rw-r--r--vignettes/web_only/multistart.html13
-rw-r--r--vignettes/web_only/multistart.rmd6
13 files changed, 77 insertions, 59 deletions
diff --git a/R/llhist.R b/R/llhist.R
index 6a6d93cd..b7f6de21 100644
--- a/R/llhist.R
+++ b/R/llhist.R
@@ -1,6 +1,6 @@
#' Plot the distribution of log likelihoods from multistart objects
#'
-#' Produces a histogram of log-likelihoods, and an overlayed kernel density
+#' Produces a histogram of log-likelihoods, and an overlayed kernel density
#' estimate. In addition, the likelihood of the original fit is shown as
#' a red vertical line.
#'
@@ -13,8 +13,13 @@
#' @importFrom KernSmooth bkde
#' @export
llhist <- function(object, breaks = "Sturges", lpos = "topleft", main = "", ...) {
+ oldpar <- par(no.readonly = TRUE)
+ on.exit(par(oldpar, no.readonly = TRUE))
+
ll <- sapply(object, logLik)
kde <- KernSmooth::bkde(ll)
+
+ par(las = 1)
h <- hist(ll, freq = TRUE,
xlim = range(kde$x),
xlab = "", main = main,
diff --git a/R/multistart.R b/R/multistart.R
index 6fd98522..beb8194b 100644
--- a/R/multistart.R
+++ b/R/multistart.R
@@ -12,7 +12,7 @@
#'
#' In case the online version of this help page contains error messages
#' in the example code and no plots, this is due to the multistart method
-#' not working when called by pkgdown. Please refer to the
+#' not working when called by pkgdown. Please refer to the
#' [online vignette](https://pkgdown.jrwb.de/mkin/dev/articles/web_only/multistart.html)
#' in this case.
#'
@@ -61,13 +61,13 @@ multistart <- function(object, n = 50, cores = 1, ...)
#' @rdname multistart
#' @export
multistart.saem.mmkin <- function(object, n = 50, cores = 1, ...) {
+ if (n <= 1) stop("Please specify an n of at least 2")
mmkin_parms <- parms(object$mmkin, errparms = FALSE,
transformed = object$transformations == "mkin")
start_parms <- apply(
mmkin_parms, 1,
function(x) stats::runif(n, min(x), max(x)))
- if (n == 1) dim(start_parms) <- c(1, length(start_parms))
res <- parallel::mclapply(1:n, function(x) {
update(object, degparms_start = start_parms[x, ], ...)
diff --git a/R/parhist.R b/R/parhist.R
index 62f67249..69aafe02 100644
--- a/R/parhist.R
+++ b/R/parhist.R
@@ -1,11 +1,7 @@
#' Plot parameter distributions from multistart objects
#'
-#' Produces a boxplot with all parameters from the multiple runs, scaled using
-#' their medians. If parameter transformations were done by mkin (default in
-#' [saem]), then the parameters found by saem are on the transformed scale, and
-#' scaling is simply done by subtracting the median. If parameter
-#' transformations were done by saemix, scaling is done by dividing by the
-#' median, as in the paper by Duchesne et al. (2021).
+#' Produces a boxplot with all parameters from the multiple runs, divided by
+#' using their medians as in the paper by Duchesne et al. (2021).
#'
#' @param object The [multistart] object
#' @param \dots Passed to [boxplot]
@@ -18,28 +14,50 @@
#' @seealso [multistart]
#' @importFrom stats median
#' @export
-parhist <- function(object, lpos = "topleft", main = "", ...) {
+parhist <- function(object, lpos = "bottomleft", main = "", ...) {
+ oldpar <- par(no.readonly = TRUE)
+ on.exit(par(oldpar, no.readonly = TRUE))
+
orig <- attr(object, "orig")
orig_parms <- parms(orig)
start_parms <- orig$mean_dp_start
all_parms <- parms(object)
+
+ par(las = 1)
+ if (orig$transformations == "mkin") {
+ degparm_names_transformed <- names(start_parms)
+ degparm_index <- which(names(orig_parms) %in% degparm_names_transformed)
+ orig_parms[degparm_names_transformed] <- backtransform_odeparms(
+ orig_parms[degparm_names_transformed],
+ orig$mmkin$mkinmod,
+ transform_rates = orig$mmkin[[1]]$transform_rates,
+ transform_fractions = orig$mmkin[[1]]$transform_fractions)
+ start_parms <- backtransform_odeparms(start_parms,
+ orig$mmkin$mkinmod,
+ transform_rates = orig$mmkin[[1]]$transform_rates,
+ transform_fractions = orig$mmkin[[1]]$transform_fractions)
+ degparm_names <- names(start_parms)
+
+ names(orig_parms) <- c(degparm_names, names(orig_parms[-degparm_index]))
+
+ all_parms[, degparm_names_transformed] <-
+ t(apply(all_parms[, degparm_names_transformed], 1, backtransform_odeparms,
+ orig$mmkin$mkinmod,
+ transform_rates = orig$mmkin[[1]]$transform_rates,
+ transform_fractions = orig$mmkin[[1]]$transform_fractions))
+ colnames(all_parms)[1:length(degparm_names)] <- degparm_names
+ }
+
median_parms <- apply(all_parms, 2, median)
start_scaled_parms <- rep(NA_real_, length(orig_parms))
names(start_scaled_parms) <- names(orig_parms)
- if (orig$transformations == "saemix") {
- orig_scaled_parms <- orig_parms / median_parms
- all_scaled_parms <- t(apply(all_parms, 1, function(x) x / median_parms))
- start_scaled_parms[names(start_parms)] <-
- start_parms / median_parms[names(start_parms)]
- boxplot(all_scaled_parms, log = "y", main = main, ...)
- } else {
- orig_scaled_parms <- orig_parms - median_parms
- all_scaled_parms <- t(apply(all_parms, 1, function(x) x - median_parms))
- start_scaled_parms[names(start_parms)] <-
- start_parms - median_parms[names(start_parms)]
- boxplot(all_scaled_parms, main = main, ...)
- }
+ orig_scaled_parms <- orig_parms / median_parms
+ all_scaled_parms <- t(apply(all_parms, 1, function(x) x / median_parms))
+ start_scaled_parms[names(start_parms)] <-
+ start_parms / median_parms[names(start_parms)]
+ boxplot(all_scaled_parms, log = "y", main = main, ,
+ ylab = "Normalised parameters", ...)
points(orig_scaled_parms, col = 2, cex = 2)
points(start_scaled_parms, col = 3, cex = 3)
diff --git a/docs/dev/articles/web_only/multistart.html b/docs/dev/articles/web_only/multistart.html
index b3108120..f9b27a0c 100644
--- a/docs/dev/articles/web_only/multistart.html
+++ b/docs/dev/articles/web_only/multistart.html
@@ -109,7 +109,7 @@
<h1 data-toc-skip>Short demo of the multistart method</h1>
<h4 data-toc-skip class="author">Johannes Ranke</h4>
- <h4 data-toc-skip class="date">Last change 16 September 2022 (rebuilt 2022-09-16)</h4>
+ <h4 data-toc-skip class="date">Last change 19 September 2022 (rebuilt 2022-09-19)</h4>
<small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/vignettes/web_only/multistart.rmd" class="external-link"><code>vignettes/web_only/multistart.rmd</code></a></small>
<div class="hidden name"><code>multistart.rmd</code></div>
@@ -135,13 +135,13 @@
<code class="sourceCode R"><span><span class="va">f_mmkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="va">dmta_ds</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>, cores <span class="op">=</span> <span class="fl">7</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span><span class="va">f_saem_full</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_mmkin</span><span class="op">)</span></span>
<span><span class="va">f_saem_full_multi</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/multistart.html">multistart</a></span><span class="op">(</span><span class="va">f_saem_full</span>, n <span class="op">=</span> <span class="fl">16</span>, cores <span class="op">=</span> <span class="fl">16</span><span class="op">)</span></span>
-<span><span class="fu"><a href="../../reference/parhist.html">parhist</a></span><span class="op">(</span><span class="va">f_saem_full_multi</span>, lpos <span class="op">=</span> <span class="st">"bottomright"</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu"><a href="../../reference/parhist.html">parhist</a></span><span class="op">(</span><span class="va">f_saem_full_multi</span><span class="op">)</span></span></code></pre></div>
<p><img src="multistart_files/figure-html/unnamed-chunk-2-1.png" width="700"></p>
<p>We see that not all variability parameters are identifiable, most problematic is the variance of k2. So we reduce the parameter distribution model by removing the intersoil variability for this parameter.</p>
<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">f_saem_reduced</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_saem_full</span>, covariance.model <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/diag.html" class="external-link">diag</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">0</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="va">f_saem_reduced_multi</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/multistart.html">multistart</a></span><span class="op">(</span><span class="va">f_saem_reduced</span>, n <span class="op">=</span> <span class="fl">16</span>, cores <span class="op">=</span> <span class="fl">16</span><span class="op">)</span></span>
-<span><span class="fu"><a href="../../reference/parhist.html">parhist</a></span><span class="op">(</span><span class="va">f_saem_reduced_multi</span>, lpos <span class="op">=</span> <span class="st">"bottomright"</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu"><a href="../../reference/parhist.html">parhist</a></span><span class="op">(</span><span class="va">f_saem_reduced_multi</span>, lpos <span class="op">=</span> <span class="st">"topright"</span><span class="op">)</span></span></code></pre></div>
<p><img src="multistart_files/figure-html/unnamed-chunk-3-1.png" width="700"></p>
<p>We can also analyse the log-likelihoods obtained in the multiple runs:</p>
<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
diff --git a/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-2-1.png b/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-2-1.png
index e30e56f0..18800fb9 100644
--- a/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-2-1.png
+++ b/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-2-1.png
Binary files differ
diff --git a/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-3-1.png b/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-3-1.png
index 3ed0d546..908989e9 100644
--- a/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-3-1.png
+++ b/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-3-1.png
Binary files differ
diff --git a/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-4-1.png b/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-4-1.png
index 957c2457..e50177cc 100644
--- a/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-4-1.png
+++ b/docs/dev/articles/web_only/multistart_files/figure-html/unnamed-chunk-4-1.png
Binary files differ
diff --git a/docs/dev/pkgdown.yml b/docs/dev/pkgdown.yml
index c9b168a6..144a7f80 100644
--- a/docs/dev/pkgdown.yml
+++ b/docs/dev/pkgdown.yml
@@ -12,7 +12,7 @@ articles:
compiled_models: web_only/compiled_models.html
dimethenamid_2018: web_only/dimethenamid_2018.html
multistart: web_only/multistart.html
-last_built: 2022-09-16T19:23Z
+last_built: 2022-09-19T10:47Z
urls:
reference: https://pkgdown.jrwb.de/mkin/reference
article: https://pkgdown.jrwb.de/mkin/articles
diff --git a/docs/dev/reference/parhist.html b/docs/dev/reference/parhist.html
index a2fd717b..bc230c21 100644
--- a/docs/dev/reference/parhist.html
+++ b/docs/dev/reference/parhist.html
@@ -1,10 +1,6 @@
<!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Plot parameter distributions from multistart objects — parhist • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Plot parameter distributions from multistart objects — parhist"><meta property="og:description" content="Produces a boxplot with all parameters from the multiple runs, scaled using
-their medians. If parameter transformations were done by mkin (default in
-saem), then the parameters found by saem are on the transformed scale, and
-scaling is simply done by subtracting the median. If parameter
-transformations were done by saemix, scaling is done by dividing by the
-median, as in the paper by Duchesne et al. (2021)."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Plot parameter distributions from multistart objects — parhist • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Plot parameter distributions from multistart objects — parhist"><meta property="og:description" content="Produces a boxplot with all parameters from the multiple runs, divided by
+using their medians as in the paper by Duchesne et al. (2021)."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]--></head><body data-spy="scroll" data-target="#toc">
@@ -49,12 +45,15 @@ median, as in the paper by Duchesne et al. (2021)."><meta name="robots" content=
<a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
</li>
<li>
- <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+ <a href="../articles/web_only/multistart.html">Short demo of the multistart method</a>
</li>
<li>
<a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
</li>
<li>
+ <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+ </li>
+ <li>
<a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
</li>
<li>
@@ -88,16 +87,12 @@ median, as in the paper by Duchesne et al. (2021)."><meta name="robots" content=
</div>
<div class="ref-description">
- <p>Produces a boxplot with all parameters from the multiple runs, scaled using
-their medians. If parameter transformations were done by mkin (default in
-<a href="saem.html">saem</a>), then the parameters found by saem are on the transformed scale, and
-scaling is simply done by subtracting the median. If parameter
-transformations were done by saemix, scaling is done by dividing by the
-median, as in the paper by Duchesne et al. (2021).</p>
+ <p>Produces a boxplot with all parameters from the multiple runs, divided by
+using their medians as in the paper by Duchesne et al. (2021).</p>
</div>
<div id="ref-usage">
- <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">parhist</span><span class="op">(</span><span class="va">object</span>, lpos <span class="op">=</span> <span class="st">"topleft"</span>, main <span class="op">=</span> <span class="st">""</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+ <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">parhist</span><span class="op">(</span><span class="va">object</span>, lpos <span class="op">=</span> <span class="st">"bottomleft"</span>, main <span class="op">=</span> <span class="st">""</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
</div>
<div id="arguments">
diff --git a/man/parhist.Rd b/man/parhist.Rd
index 1f517298..a8319283 100644
--- a/man/parhist.Rd
+++ b/man/parhist.Rd
@@ -4,7 +4,7 @@
\alias{parhist}
\title{Plot parameter distributions from multistart objects}
\usage{
-parhist(object, lpos = "topleft", main = "", ...)
+parhist(object, lpos = "bottomleft", main = "", ...)
}
\arguments{
\item{object}{The \link{multistart} object}
@@ -16,12 +16,8 @@ parhist(object, lpos = "topleft", main = "", ...)
\item{\dots}{Passed to \link{boxplot}}
}
\description{
-Produces a boxplot with all parameters from the multiple runs, scaled using
-their medians. If parameter transformations were done by mkin (default in
-\link{saem}), then the parameters found by saem are on the transformed scale, and
-scaling is simply done by subtracting the median. If parameter
-transformations were done by saemix, scaling is done by dividing by the
-median, as in the paper by Duchesne et al. (2021).
+Produces a boxplot with all parameters from the multiple runs, divided by
+using their medians as in the paper by Duchesne et al. (2021).
}
\references{
Duchesne R, Guillemin A, Gandrillon O, Crauste F. Practical
diff --git a/vignettes/web_only/multistart.R b/vignettes/web_only/multistart.R
index a860757d..b995c545 100644
--- a/vignettes/web_only/multistart.R
+++ b/vignettes/web_only/multistart.R
@@ -14,10 +14,13 @@ dmta_ds[["Elliot 1"]] <- dmta_ds[["Elliot 2"]] <- NULL
f_mmkin <- mmkin("DFOP", dmta_ds, error_model = "tc", cores = 7, quiet = TRUE)
f_saem_full <- saem(f_mmkin)
f_saem_full_multi <- multistart(f_saem_full, n = 16, cores = 16)
-parhist(f_saem_full_multi, lpos = "bottomright")
+parhist(f_saem_full_multi)
## -----------------------------------------------------------------------------
f_saem_reduced <- update(f_saem_full, covariance.model = diag(c(1, 1, 0, 1)))
f_saem_reduced_multi <- multistart(f_saem_reduced, n = 16, cores = 16)
-parhist(f_saem_reduced_multi, lpos = "bottomright")
+parhist(f_saem_reduced_multi, lpos = "topright")
+
+## -----------------------------------------------------------------------------
+llhist(f_saem_reduced_multi)
diff --git a/vignettes/web_only/multistart.html b/vignettes/web_only/multistart.html
index 004b62be..5a91584c 100644
--- a/vignettes/web_only/multistart.html
+++ b/vignettes/web_only/multistart.html
@@ -364,7 +364,7 @@ pre code {
<h1 class="title toc-ignore">Short demo of the multistart method</h1>
<h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 16 September 2022 (rebuilt 2022-09-16)</h4>
+<h4 class="date">Last change 19 September 2022 (rebuilt 2022-09-19)</h4>
</div>
@@ -384,16 +384,17 @@ dmta_ds[[&quot;Elliot 1&quot;]] &lt;- dmta_ds[[&quot;Elliot 2&quot;]] &lt;- NULL
<pre class="r"><code>f_mmkin &lt;- mmkin(&quot;DFOP&quot;, dmta_ds, error_model = &quot;tc&quot;, cores = 7, quiet = TRUE)
f_saem_full &lt;- saem(f_mmkin)
f_saem_full_multi &lt;- multistart(f_saem_full, n = 16, cores = 16)
-parhist(f_saem_full_multi, lpos = &quot;bottomright&quot;)</code></pre>
-<p><img 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MBla9GihRAiIyPjokfu3btXCNGyZcuGjgQAgCzy8/Pj4uK4Bwb4gQIPAJdt+PDhQoiPP/74wtvLl5aWLlu2TAgxbNiwACUDAOCql5OTU15enpmZqXUQQD4UeAC4bKNGjWrWrNn27ds//PDDCxw2ffr08vLyoUOHtmnTJlDRAAAA0GhR4AHgslmt1ldeeUUI8cgjjyxduvSXB6iq+sILL8yePdtisbz66qsBDwgAAIBGiAIPAP6YOHHi1KlTXS7X2LFjJ06cuGXLFp/PJ4RwuVzLly/v37//n/70J71e/95773Xq1EnrsAAAAGgM2IUeAPz06quvJiYm/t///d+CBQsWLFhgNBrtdntpaWldk4+Li/vwww95+h0AAAD1hTvwAOC/P/zhD4cOHXriiSdSUlJqamqKi4t1Ol2PHj1efvnlw4cP094BAABQj7gDDwBXJDExcebMmTNnzqypqXE4HOHh4bzVFgAAAA2BAg8A9cNoNEZGRmqdAgAAAI0WBR4AAABA4CQnJ6empqalpWkdBJAPBR4AAABA4Njt9vT0dK1TAFLiQU0AAAAAACRAgQcAAAAAQAIUeAAAAAAAJECBBwAAAABAAhR4AAAAAAHlcrl8Pp/WKQD5UOABAAAABE5+fn5cXNzkyZO1DgLIhwIPAAAAIHBycnLKy8szMzO1DgLIhwIPAAAAAIAEKPAAAAAAAEiAAg8AAAAAgAQo8AAAAAAASIACDwAAAACABCjwAAAAAABIgAIPAAAAAIAEDFoHAAAAANCEJCcnp6ampqWlaR0EkA8FHgAAAEDg2O329PR0rVMAUmIJPQAAAAAAEqDAAwAAAAAgAQo8AAAAAAASoMADAAAAACABCjwAAACAgHK5XD6fT+sUgHwo8AAAAAACJz8/Py4ubvLkyVoHAeRDgQcAAAAQODk5OeXl5ZmZmVoHAeRDgQcAAAAAQAIUeAAAAAAAJECBBwAAAABAAhR4AAAAAAAkQIEHAAAAAEACFHgAAAAAACRAgQcAAAAAQAIGrQMAAAAAaEKSk5NTU1PT0tK0DgLIhwIPAAAAIHDsdnt6errWKQApsYQeAAAAAAAJUOABAAAAAJAAS+gBAACApmjz5s25ublap9BAv3794uLitE4B+IMCDwAAADQ5ubm5/fr18/l8WgfRwMiRI5ctW6Z1CsAfFHgAAACgyXE4HD6fLyQkpE+fPlpnCZyysrJt27aVl5drHQTwEwUeAAAAaKJiYmJmzZqldYrA2bVr17Zt27ROAfiPTewAAAAAAJAABR4AAAAAAAlQ4AEAAAAAkAAFHgAAAAAACVDgAQAAAACQAAUeAAAAAAAJUOABAAAAAJAABR4AAAAAAAlQ4AEAAAAAkAAFHgAAAAAACVDgAQAAAACQAAUeAAAAAAAJUOABAAAAAJAABR4AAAAAAAlQ4AEAAAAAkAAFHgAAAAAACVDgAQAAAACQAAUeAAAAAAAJUOABAAAAAJAABR4AAAAAAAlQ4AEAAAAAkIBB6wAAAAAA0MgVFRVNmDChvLzcv+EFBQUOh6N169Y6nZ+3YJ988snx48f7NxZXDwo8AAAAADSs/Pz8DRs2eL3eKznJ7t27/R67detWCnwjQIEHAAAAgIZ1zTXXHD9+vKCgwL/hd9111/79++fPn9+hQwc/hptMpmuuuca/qXFVocADAAAAQINr3rx58+bN/RtrtVqFEB06dLjuuuvqNRQkQ4EXQgifz1dYWHjl54mNjb3ykwAAAAAA8EsUeCGEOHXqVMuWLa/8PKqqXvlJAAAAAAD4JQq8EEKYTKawsLCysjKtg/yPhQsXzp0714+Bhw8fFkJUVlbWdyIAAAAAgGYo8EIIER8fX1BQsGrVqqeeemr//v11H2zVqlW7du00TPXZZ5+tXbvW7+FX2/UIAAAAAMCVoMCfZTQaR40aNWjQoOHDh2/cuFEIMWHChBkzZmgYae7cuQ8++KAfy/IfeeSRw4cPJyQkNEQqAAAAAIAmKPD/Izg4+Pnnnx88eLDWQYQQwmaz+ZfEZrPVexgAAAAAWklKSsrMzIyLi9M6CDSm0zrAVWfQoEF8YQAAAAC4eixYsODUqVOssQUF/hy6d++udQQAAAAAOMtsNkdFRWmdAtpjCf05DBs2rKqqqnXr1loHAQAAAADgLAr8OTz22GOPPfaY1ikAAAAAAPgvltADAAAAACABCjwAAAAAABKgwAMAAADAVe3NN98cMWJEVVWV1kGgMQo8AAAAAFzV5s+fv2LFigMHDmgdBBqjwAMAAADAVU1V1R//RFNGgQcAAAAAQAIUeAAAAAAAJECBBwAAAABAAhR4AAAAAAAkQIEHAAAAAEACFHgAAAAAACRAgQcAAACAq1pSUpLFYomLi9M6CDRm0DoAAAAAAOBCFixY4HQ6o6KitA4CjVHgAQAAAOCqZjabzWaz1imgPZbQAwAAAAAgAQo8AAAAAAASoMADAAAAACABCjwAAAAAABKgwAMAAADAVe3NN98cMWJEVVWV1kGgMQo8AAAAAFzV5s+fv2LFigMHDmgdBBqjwAMAAADAVU1V1R//RFNGgQcAAAAAQAIUeAAAAAAAJECBBwAAAABAAgatAwANRRVqsafwjDu32FNY6a3wqrV6xRCkt4YZwuMtiTGmOJ2i1zojAAAAAFwqCjwaG7fPtas8fY9jx4GKfY7a8vMdZtEFpYRc08nWrVdYP5vBHsiEAAAAAOAHCjwajyJP/sqCpVtKN7h81XUfCTWEx1sSo02xIQabQTF61doqb1Wxp+C0O7fIk7/XsWOvY8e/897vau81ImZsS2tbbfNfDYo8+XmunHx3XoXX6fa5hBBmnSXEYIszJ8SbE6NMMVoHBAAAAJouCjwag0pvxWenP95QssanehWhJAd3uD58QIeQznHmZucbUl5TmlWxZ3vZpn3OXTvLt+ws39LV3uv2hPuiTbGBTH418KneDOcP28s37XfuLakpusCREcaojrYuPcP6XhPSVaewgwYAAECAJCUlZWZmxsXFaR0EGqPAQ3q7y7fOy3nbUVuuV/R9IwalRY+JtyRedFSoMbx3+MDe4QPLa0vXFC77pmjlD45tWRU/jI6bODT6ZkUoAUiuuWpv1briFesKl5fXltZ9xG4ITQxqGWdOCDWEmXRmIYTH5y6vLT3jzjtVfbykpmhjybqNJetCjeFDokYMikwL0ls1/QwAAACahAULFjidzqioKK2DQGMUeEjMp/oWnf5wTeEyVajtQzrdlfDQpVT3nwk1hI+Lv3to9M2L8uZtKV2/MO+DAxX7HmzxeOOupj7V903xys/PLKjyVgoh4i2JfcIHdrX3amZpfr6LF6pQc10nf3Bs31Ky/rQ7Z8npj1cVfD46buLAyGHcjQcAAGhQZrPZbDZrnQLao8BDVrVqzT9PvrG9bJNO0Y+Nm/irmNFXctvcbgi7v8Xv+4QPnHPy9T2OHX898sfHW/8p3BhZj4GvHgXu0++enHWi6ogQokNI55Gx4zqEdL7oKEUoiZakREvSyJhxWc49XxUsPlCR8XHu7E2l3zyUNDXGxIIuAAAAoGFx3wxS8qrevx+fsb1sU7A+5I9tXkyLGVMvi9472ro8kzwz3pKY6zo58+gzzlrHlZ/zarOzfMvzh6eeqDoSZYp5rNXT09q8cCnt/Wc62ro82eYvj7acHmmKPl51+PlDj+8q39oQaQEAAAD8iAIP+ahCfe/Um/ucu+yGsD+2/Wvb4Pb1ePJIU/T0NjNaBLU+48574/ifPT53PZ5cc98Wr3r7xCvV3qrrQns/l/J6V3vPKzlbt9DUP7d7MzWsX7W36u3sl9cXr6qvnAAAAAB+iQIP+awt+iq9dEOQ3jql9TMJlhb1fv4Qg21q6+fizAnHqw5/nDun3s+vlW+KVs7PeVcIMS7+7t+2fMqqD77yc1p0QQ8lTR0Tf6eqqh/lvEuHBwAAABoOBR6SOVV9YnHePEUo9zX/fVJQmwaaxWaw/67lH806y8aSdVvLvm+gWQJpZ/mWT3LnKEK5O/HhtJgx9XvykTHj7kr8jSKUj3PnsJYeAACg3r355psjRoyoqqrSOgg0RoGHTFShfpT7Tq1aOygqrXtoaoPO1czS/I6E+4UQ/8p9r26rdnnlu/PeO/mmKtSx8XcNiBzaEFMMjBw2Jn6iT/W9d+pvBZ4zDTEFAABAkzV//vwVK1YcOHBA6yDQGLvQQybppRuOVh4MN0aOjb8zANPdEDF4U8m3hyozl+UvmtBscgBmbAg+1Tc7e5bLV50a1q/e773/1IiYcSerj28v2zQ7e9bTbV+W9N1yDoejqKjIj4Ee4a5RPfkl+fER8QZhNComP06SkJDAG2IAAMAvqar6459oyijwkIYq1K8KPhVCjImbaNEFBWBGRSh3JNz//KHH1xd/nRYz1mawB2DSevdN8YoT1UejTLGTmj/S0HPdk/jbY1WHjlcdXl+8alBUWkNPV+88Hk/btm0LCwsv5WBLmCk+NTquR1Rkh9DQpBCTzSiEECYhKoQQorrIXX7CWZhZdnpb4ZkdxV6391LOOWjQoHXr1vn/CQAAAqi4uHj27NlffvllVlaW0+mMiorq1q3bbbfdNmnSJJPJn8u4AHBRFHhIY69j52lXTpQptnf4gIBN2iKoVRd7jx8c278tXnlz7ISAzVtfqryVS88sEEJMTHggAFc9gvTWO5rd//cTM5aeWdA7fGCQ3trQM9Yvo9HYp0+fffv2XeAYRadE9LDFDw6P6G5T9P99eaHX5aupqq2pqjHbzQaLLijKHBRljusR1WlSW2+1r3BL+enVJY5DF3puzWQy9enTp94+GQBAQ/rwww+nTJlSVlb240eKiorWrFmzZs2aGTNmzJ8/v2/fvhrGA9BYUeAhjU0l3wghBkUO1yn6QM47JHrUD47tm0vXj4odXy9vmw+kdUXLq71V19i6drH3CMyM3UJT24d0OlCxb13R8pGxtwVm0vqiKMrnn39+gQO2l236Iv/fea5TQgi9om8f0qlDSOe2we3izc1tBvtDDz00Z86c2bNnP/DgAyWeojz3qcMVWZkVe46Lw3GDwuMGhXcM6Tw6fmIba7tAfUIAgAbxl7/85ZlnnhFCpKWl/e53v+vbt6/dbs/Pz1+zZs3MmTP37t07ePDgxYsXjxo1SuukABobCjzk4Pa5fnBs1ym66wN4+71Oh5BO4cbIAvfp7KqjLa1tAzz7lfCq3nVFy4UQI2LGBXLeUbG3HajYt7ZoeVrMmABfbWk4Be7TH+W8k1WxVwgRZYq5KWrU9eEDzvdUhSKUSFN0pCm6k637GHFnvjvv+5J13xavzKrYu//wvn4RQ8Y3u6deXuMHAAi8pUuXPvvsswaD4Z///Oc999zz48djY2PvvPPO22+/fdq0aa+//vrEiRN37NiRkpKiXVIAjZCUu0yhCTpUmVWr1rQKSg4zRgR4akUoXew9hRBZFXsCPPUV2ufc5agtT7C0aB9ybSDn7RDSOcHSwlFbluH8IZDzNpytZd8/d+jxrIq9NoN9UuIjM9q/c1P0qEvfEyHW3Gxc/F2vdpg7MvY2vWL4rmTNc4ceP151uEEzAwAagtvtfvzxx1VVfe21137a3n+k1+tfe+21u+66y+l0Tps2LeABATRyFHjI4VBFlhCifUgnTWbvENJJCHGwIlOT2f22vWyjEKJv+I2Bn7p3+EAhxLayjYGfut4tPbPgx238/9r+7QGRQ/V+LSsI0lvHxE18od3fWlmTizz5M478347yzfWeFgDQoL766qsTJ0506dLlt7/97QUOmzVrVkhIyLJly7KzswOWDUBTQIGHHHJd2UKIltY2msyeZG0jhMh1ndRkdr/tr9gnhOgS2jPwU9c9ci/dmoWfUYX6ce7sZfmL9Ir+7sSHH0qaGqwPucJzxpmbTW87Y3DUiFq15p0TM78vWVsvUQEAgbFy5UohxF133aXTXei36Ojo6JEjR6qqumrVqkBFQyOXlJRksVji4uK0DgKN8Qw85HDGnSeEuO2mX5cdcfox3Ov1VlZWBgUFGY1GP4YrOuijfX0AACAASURBVOXmr/uVimK3z2XWWfw4Q+Dlu/PKakpCjeHx5sTAz97M0txuCCurKSnwnIkxyfqTZunpT74pWmnSmR9Jmta5/nYBNCiGiQkPhBsjl5yePy/n7WB9SPfQ6+vr5ACABnXixAkhRNeuXS96ZNeuXf/9738fP368wTOhaViwYEHd2wq1DgKNUeAhh4pahxAi79AZd7nH/5NUVPg91l3qsUSbKr0VshT4up3SW1haaTK7IpTmQS0znT+cduVIWuA3l67/quBTvaJ/JOnJzvbrLn2golzSqwrSYsb4VO9nZz6Zc/K1p5NfaW5p6WdQAEAAud1uIYTZbL7okRaLRQjhcrkaPBOaBrPZfCn/8NDoUeAhB5fPJYQ4deyUQfHnFvq8efOmTJkyadKk119/3b8As/KfzXOfqvZWCX/m10C+O08IEWdJ0CpAvDkx0/nDGXduFxGgN9jVozPu3Pk57woh7kx46NLb+80335yRkdG/f/9LPH5k7G1FnoLvSta8c2Lmn1JmyXJtCACasvj4eCHE8ePHb7jhhgsfefToUSFEs2bNAhELQJNBgYccVOETQkSER/q3f5jVahVCmM3m8PBw/wLoCnRCCFWo/g0PvApvhRAi1BCmVQC7MUwIUVnrzyMP2lKF+uGpt90+V5/wgQMih176wBEjRowYMeKy5pqY+MDx6sOnqk98fuZfE5pNvsykAIBA69ev3+LFiz///PO77rrrAod5vd5ly5YJIS79qi4AXAo2sYMcLLogIYTLV61VgLqpLfLcI3X7XEIIDW/qBumChBDV2v0n89uW0g2HKjNDDeETEx5s6LmMiune5o/qFN2aoq+k2yURAJqgcePGWSyWzz//fPv27Rc4bM6cOSdOnEhJSenVq1fAsiEAnnnmGb1erzQ9HTt2vJJnUVGPKPCQg1UfLIRw1jo0mV0Vat3UwXqbJgEQMD7V92X+QiHEbc3uDtJbAzBjUlCbgZHDfKq3bl4AwNUsPj7+D3/4g8/nGzdu3Pk2qFu/fv3jjz8uhHjppZcuvFk9pLNhwwafz6d1Cg3s37//1KlTWqeAECyhhyxizPGFnvx8d16cWYNnycpqStw+l90QGphGVy/MOrP4z314TVSfXbMQpFUA/2wv31TgPh1nbnZ92ICATToy5rbvitfuKNt8Jk6bf+EAgEv3/PPPb9q06fvvv09NTX355ZfvvPPOH99x43A4XnvttRkzZng8nkcffXT06NHaRkUDmTdvXvfu3bVOETi33HLLsWPHtE6Bs7goCDk0szQXQpyq1uZdLHXzxls0eB+b30L0NiFEeW2ZVgEcNWVCiBCDZGsWvi9eI4QYFn2rTgnct8cwY0Sf8IGqUDeWrAvYpAAA/5hMpuXLl48aNaqwsPDee++NiYkZPnz4hAkTBgwYEBMT8/zzz9fU1Dz11FNvvPGG1kkBNEIUeMghObiDEOJAZYYms++v2CeESAm+RpPZ/RNjbib+sxe9Js64c4UQsVLdTy6tKd5fsc+kM/UKu8jewueTn5/v38C+EYOEEOmlGyTaKBEAmiybzfbFF18sXLiwW7duZWVlX3/99aJFi7777rva2tqhQ4du2rSJxfMAGghL6CGH9sGdFKEcrthf7a3yYx17u3bt9Hp9hw4d/Jt9r3OnEKJDSCf/hmuibs3CSY3WLKhCPVV9QgjRzCzTsoUM525VqJ1s1/n3rMTLL788ffr01atXDxky5HLHtg1uH2GMKqkpynWdTLQk+TE7ACCQFEUZP378+PHjT548mZmZ6XQ6o6OjO3fuHBkZqXU0AI0ZBR5yCDHYOtg6Zzn3bC/f1D/ipssdPmDAAIfDUfcyuct1ourIaVeO3RCaEtzRj+FaiTXHhxrCy2pKzrhz48yBfht8nutUeW1pmDEixhwf4KmvRN1SC7+v1Bw7dkxVVf8eElOE0sHWeVPJN/sr9lLgAUAiLVq0aNGihdYp0DjpCkoMB07ocvJ1jkqlokqpqfXZrGqw1Rcd5k1Jqm2dIAy0uSaH/+SQRp/wG7Oce74tWuVHgRf/eRW8H74tXiWESA3vr/PrFfRaqSuE6aUb9jh2xEUHusDvcewQQnQM6Rzgea9QdvVRIUTbYD9Xalyhttb2m0q+ya5ikxgAAJo0RVUNuw+aNu5WSsp/9lc6t0cUlemz84w7soTJWNMp2TPgOtUerElOaIICD2n0DOuz+PS87Oqj+5y7OtkCtPNnsadwS+l6naIfHDUiMDPWo56hfdJLN2wsWTcs+pYAT51eukEI0dPfJ8k14VO9he4zilC02ge+bpfEur0DAABA06Q/lmteuVFXWCqEUEOste2SvG1b+MJtaohVNRp0ziqlokp/6ozhwAldXqFxZ5Zh76Ga3l08A68TbLvQNFDgIQ2jYhoefevCvA8W5827JqVLYO6Hf3r6o1q1tnf4gBhTXACmq1+d7T1sBnuu6+ShyqxArv8/WJGZ48q2G0KvtXUL2KRXrry2rFatDTWGm3RmTQJEm2KFECU1RZrMDgAANGfcvMe0Jl1RVTUy1D04tbZDK6EoPz3AZzaJqDBvy2aeft2V4nLzN9sMWcdM3+3UZ+dVTxgqrJK9vhd+4DoNZDIo6lcx5vgcV/bqwi8DMF2m84etZd+bdZYxcXcGYLp6p//PwoGv8hcHct5lBYuEEIOjRuileujA7XMJIYJ0fj5qceXqds6r9lZpFQAAAGhGVS1fbjCv3qII4RnUq/K3E2o7tv5Ze//5iMhQ1203Vd93qxoaos8+bZ3zma7UEbC80Ap34CETo2K6M+HB14+98NmZT9qHdGppbdtwczlqy+ae+psQ4ubYCZGm6IabqEENjhrxdeEXGc7dAXvuYI9jR5Zzj1UfrNVDBy6Xa9WqVTU1NZc70GEuFUmiylG1eLGf1zvqtq/buXOnf2dQhSpShMfn9m+43W4fOnSocsGf9AAA4Opk+m6XYdd+YTJWjxnsbd/y0gd6E2OrHhhj+ffX+px8y79WVd13qzCbGiwmtEeBh2SutXUbEjVyTdGyf2S//HTbl8OMEZcyKjMzc8KECS+88MKYMWMu5fga1fP2iVfKa0o7hHQO/APk9ShYH3JL7K//nff+Jzlznm/3hllnadDpXL7qT3L/KYS4Ne52q16b/VRmzpz57LPP+jHQnhQy9ovBOWdOjR8//koCzJkzZ86cOX4MNAYb7tw0wlNZ43eA5cuXp6Wl+TcWAABoxZB1zLR+h6oorvFDvW2bX+5wNcRaffdI63uf6/KLLUvWuW4ffuFb95AaBR7yua3ZpBPVRw5X7n/t2PNPtvlLiMF20SGbN2/OzMz8+uuvL6XAe1Xv7OzXDlVmRRijHkyaolPkftJkSNSIzaXrT1Yfm5/z7v0t/tCgc32U806RJ79lUJtBkZrVyNLSUiFEu3btkpIu72VsepsihAiOCB46dKh/UzudzpMnTyYnJ5tM/lz51ocpQghdrd6PABkZGXl5eSUlJX7MqxVvmdPrcHqLyxSLWR9mN0SEKtwxALTjc7mrd2fVnMyrLSnzljmFEPowmyEizJSUENStI1+eQAPy1JhXbBSq6hne14/2fpbJ6Lp9eNCcJYZD2YbMo7XXNuAyVWiLAo/Aqampee+998rLf/4+DH8YbOZUa47IfmLbg4nbOxhdF9l1bNu2bUKIH3744eWXX77wkT69N6/rocroMl2t3rap2bvL/LmV+jNGo3HSpEmRkZFXfio/6BT9b5KmPn9o6ubS9c2DWl10QYHn2ElPdl5tcZmvvO4XOLs+ItSUlGBqfZGfKKsKP08v/c6iC3owaarmVz1uvvnmu++++7KGqEL9u/cFxVb70qwZRqHBr6qn1GOLfe+3CGs5bdYDlzt2+vTpeXl5DZGqfqmemurdmVXb9lXt3Oer+PnT/qaWCdaena29uphaJWoSD2iaqn/Y71i5wbX3oHqeh48UozGocztb2oCgLtq8ZRNo3Eyb9ygVVd7EmJrUa6/kPL4wm2dob/Pn35rWbq1t30oYZNqKCJeOAo/AWbZs2cMPP1xfZ7NGWW56+/qIFJHVecuG/9uZl1540SHbtm2ra/LnE9bKNnBmj/Boe3Wxe83vthTv/6y+0hYXF7/44ov1dbbLFWdOuLf5o+9mv7oo78MQva1vxKBfHlOTc8b59fdV2/fWFpWe8ySGqHBrz862Yf2MiefYkH9jybrFefMUodzb4lGtXsN2hRShhImIIpFfrBbEKRoUyGK1UAgRLqICP/WVcDqda9eura2tvchxPjX6+JlmmSdM1Z66D9RaTDVmY7nisyi6oFqfscrtOZHrOZFbtnhleVx4Tpc2VWEXfwojISGhT58+V/5ZoBHzOit8jkqd1aIPs7Om9Gc8x06VzP/cte+gEELodJaObS3Xphgiw/VhNiGEt8xZW1zq2nfQdfB41c6Mqp0ZQZ3bhd892tSSS2xA/fHUmLbsFUJ4hva58u9RtV1SjJv36ApKjHsP13RvXx/5cNWhwCNwqqqqhBBt27bt379//ZzxG1UEVViai2Hv9FH2WsQWq/Cc+xtfTU1NVlZWmzZtQkJCzn0qnVC7VovUamFURaneujzult5jRe96yJiZmbl169bq6up6ONcV6BnWt6y25F+5771/6u8VXudP78N7S8rKFq5wfpsufD4hhCEq3HJNij4qTB9mF0J4yxzeojJX5qHaolLHyg2O1d/bbuwdNj5NHxH64xlWFX6+OG+eKtQ7Eh7oESpxm4pVEorU/Fw1W5MCnyey6zIEfuorMW3atNmzZ1/4mBR7xD+uH97SFi6E2FdauOzUodWnj2dX/M9iHINOlxqVMLRZq1uap4SeKbWd3v7Jscw/791Y4/Ne+OQ7d+7s3j0QGzRqyHMyr2rbXveh496SMm+ZU3W59RFh+jCbMSEuqMe1QZ3bKUaj1hmvIqrX595/pGr73urdWbWFJWrNf64u6XWG8FDLtSnWnp2DunZgTbhzzaaSuYtUr1dnCw4bMyx4YC+97Vw/IseneR0VFeu3ln/2dfXeg64/zox4YIJtsMTf6oGriuHIKeH2+FrEe1vUwxuLVUXx9O1iWfqtIesoBb6xosAj0Nq3bz9lypT6Opsq1K2+9eniW18Xl7WLoafSr7Ou52Wtf1aFelDdm+5bXyKqhBAdlW6Do0YZJ9fbL3YfffTR1q1b6+tsV+KmqFE6oVuQO3dh3gcnq4/dnfiwWWep3p1V+PoHvqpqxaC3DRsQcuP1514qr6qe46ec69Ir1m5yrt1UuWVX9JR7g7p2cPtc83LeSS/doAhlfLN7hmi083x9aaG0zlR3nRRHrxN9L2OYz6fPK1QclYqzSrjcIjjIF2JVw22+mIhLv5SuCvWkeqwugx/JNfTrX//6ws/etxfmO3x2i1AKhfdrXeW+SFWNTO7VNbmXEKWlpWvXrg0PDx8yZEjdwRlCHBWOG9XgviLorjbX9mvb7iNRXqH4znfysLCwlJSUev6Urhqq11exPr186eraM0U/+ytfXn5NXr4r64hzzUbFbArp3zPstv+5rNZE+XwVG7aVLVz+05VEOluw3h7iq6z2ljtri0or1m+tWL9VF2QJvfUm+8gbm2iNV9WSDz51rNggFMU+8saw8Wm6C747Wm8PCb15sG1wn7KFyx0r1he/s6DmZF7EPWNZ0eA5nuPKOFRbXOotdfgqqvRhNn243RAdGdStoyFGm+fmIB3DgeNCiJoOLevrhN6UlqpO0R/LVVwe1dIkv8U1dhR4yE0RyvW6G9uKjuu8X+aK7A3qyq3e9e2UTu11XZqJ5oo475PYqlCLRP4hNWO/+oNDLRNChCtRg5SRSUpj3vNjcNQImyH0g1NvbSndcLTy4Ojc1Ng5u4XPZ+3VOWLSGEPs+RdvK4qpdYvI1i3so24snfdZ1fZ9+X9958xD3ZY2Sy/05Ft0Qfe2eFTqe+91WiopOqE7qR6tViuDlIut31ZVw4Hjhqzj+sPZistzjr+3B9e2a1Xbqe2lXFM/pR6rEhVhSqR0S+gHDhw4cODA8/1t5cYdhX+bJ4QaMiA16Te39zT+zw+dnTt39ujRo3Xr1osWLfrZQM+JnIKXZrcsKv1zfIf4vz6hs2nzUgMNVe85UPLBpzU5Z4QQ+vBQa49OdZVAH2ZTLGZvcZm33OE+cLxq2x730ZPONZsqvtseOmpQ6LhfKU31oUfPsVNFb833nMwTQhgTYq2pXa29OpuSEpT//KtTvb7aM4VVO/ZVbdvrPnis9F/LHF9/F3n/BGuvzpoG10DZwuWOFRsUoyHyN7eHDEi9xFG64KCIe8eZ27Uq+sfHjuXrdcHWsPFN9LUX3jJH+Zfrqrbsri087+VLU8uE4Bt62n/Vv4leJMIl05/IE0LUprSsrxOqQWZfi3j9iTzdibzLeh0dZEGBR2MQJWLH6+8/oR7epm7IVbP3qNv2eLcZhamZ0iJSxIQpEWZh0QuDT/jcwuUQpSVqUZ6aXS3O7qEVLiJ76QZ0ULrqzl/4G41eYTc0D2o5O3vWyerjs6O/aPtry3AxqOXoBy7xRooxLjrmyQd3fz1/efWKY1FfCI9ICmrzUNJUSZ97/5kgYW2pJB9TD+5X93RXLnQ9Qn/klHntVt1/7ov6YiN9kaGqzSosZlFZrXNW6fKLlTKncXuGcXtGbUqSZ0iqL+ZCrzzMUHcKITooXerx09Gc+0h20dufCFUNv2NU6JhhlzXW1DIx/qUn8//6jufYyYJZ78U+81tF34R6afkXa0s//kKoqrFZTNjto4Kv7/qzr1BdQqwxIdbSMTl0zNCa04Vl/15WuXl32aerXFlHop+4X28/z7NCjVfllt1Fb81X3R5DdETomGG2Ied4lFTR64wJsaEJsaG3DHEfOl768ReurCMFM/8ZesuQ8Ik3N52byZWbdpYt+VrodTHTHw7q3O5yhwf3vU4XEpz/17fLFq80JsYF92kkD7B4vd6uXbtmZGRc+DCrwfiblO73JXexGoxCiDPVFd+czj7qLC10V5V5XFFma4wluGNY1MC4FvYTuZ4TuQfmfvJ61rbFJ/b7VPXCZ77zzjvnz59fb58PZOFTFWeVqlPUCHs9ntUbF6U/kacvLrvIQ2iQEwUejYQilFZKSislpVgUZKm7j6kHi9WCbPVItjgizvND066EJYm2HXXdmokWimgqv7oJIeLNiU/W/GbZ2pfW9y8/0sb1lljR4vD+3uEDu9h7xJkv9AD2GXfuHseOTSXf5sSfEEKY3cqN34WPTHvI2ijae51OSo9j6sFdYnMXkaoX52iMSq3X/MV6w77DQghfmK0mtZO3Qytf2DneZag7XWTYf8y4NcNwKFt/+GTNoJ6eG7qdsySUi9KDaoZO6K4RjeRXYSGEr7Kq4JU5qqfGNqz/5bb3OvowW+z0h/KemunKOFT6yZcRd4+u95BXI1UtendBxbotQlHC7xhlv2XIRa9cGOOjo6fcax9xvPC1911ZR07/cWbcs48a4iRbynElHCs3lLz/qVBV2003RNx326WsQTCntIp7/veO5etLPlpa/vkar7Mi6uGJAYiqOa+jovjdfwlVjZx8mx/tvU5Ql/YRk8aWvL+4+J0FlmuS9aEXf5nr1U9VVfViHTspOHROn7QUe4QqxMrco+8e3LWvtOCcYww6Xb+Y5o916Nk1Ival7jcOjW/1++1rKmrOsVbrRz7feZ8VQiOmq6wSqqqGBNfzNcTQECGE+MXbXtA4UODR2ESKmH7KsH7KsErVeUbklKpFDqXMpbp8wqsTOqMw2URohBIdLeLClSb0C+5P+apdxa9/mFoWfEPiiB0DatcVLT9Zffxk9fGFeR+EGyObB7WKNyfYDKHB+hAhRKW3wllbftqdc7L6eFnN2bWCIQb74Ki0Ht/oatK/Kz44L+itPzWaJYKtlfZRIrZIzd/n295Vd/3P/lZxVAYt/FqXW6CaTZ6BPWp6XnOBd7T44qM88VE113c2fb/LkL7PtG6brqDUfctA9RdDtvjWqcLXUeluV8Lq/1PSSPnS1d6SckuHNhH3jvP7JPrw0JgnHzj99Czn8vW2m24wxkfXY8KrU9nilRXrtuiCLFG/n2Tt0enSB5pTWsW/9GTBzH+6Dx7Lf+nd+BlP6IIsDZfz6lG9O6vkgyVCiIh7b7OnDbiMkYpiH3mjMTGucNZ7Feu2GJvFht4ypKFSXjXKP13pq3ZZe3ayDb+i3WTtaQOq9+yv3plR/tnXEZP9/xq/ehgMhgvffnftP1rwyhyfs9KUlBD58B0Pt0366Wt1HnrooTlz5syePfvBBx/870dVtTL9h5J/LhwkWh747bOx03/Dg/H4uWq3EEIEXeR1yJer7jcNpZYb8I0TBR6NVrBiayM6nL2z3oTur1+cY9k33jKnpX2buPFjExRlROy4vY6d28s27q/YV1pTXFpTvFfsOOfAUEN4B1vnXmF9r7V1NygG8Wv19L5T7kPHy5etCxv3qwB/Fg1EEUpf3ZAvfJ9sVteliE5W8ZNHr92eoPlf6QpLfRF21+2/8kWHX8oJVavFPaxPbZvmlk/XGPYdFtUu98Q09ScX2nNF9n51j0EYeuturPdPRyvekjLHyu+EokRMHqfor+jJFHPbJNug3s41m8oWfBk99b76Snh1qkr/oWzxSqHXRT9xnx8v3NaH2WKf+e2Zp1/zZOcWvvFh7B8favTLwmvziwpf/0D4fGG/HnF57f0/grp2iHpsUsErc0o//sLUMjGoS2PetLm2sMS5eqPQ6cIn3nLxoy8m4s5bcndnOb/+3j5qsCHqkr4fyqsmN7/gpXd9ldVB3a+JnjL5Uq+OKUpw727mlFYFL8/2HDuV/+Lb8X99Qhd8of0C0dSo1iAhhFJV3+8q8tQIIYSRotc48d/1IiorK0tKSiorKysqKsxms81mi4yMtNkaw2qxpkBX5tQfPqkrdyrOKqWiWg0yqzarag+pbdXM15TWl/6U11Hh+HKdUJTwu2+t++XeoBi6h6Z2D01VhXrGnZvnOpXvzqvyVlZ6K4QQwfoQqz44zpzQzNL85wvsFSXi7tGn/99rji/W2Yb1O/f7hyTURunQWml3TD34tW/Jrbq7zj5e4VODFq3RFZZ646Ncd49SL/Niubdt8+r7Rls/+NJw5JRv3TbPkLO7RtUIz2rvUlWoqbqBdtF4fgN2rPpedXuC+/U490sNLlPY+LSK77ZXpv8QXlTaiHuCz+UunrtIqGrEpLF+tPc6Oos55qkHT/9xZvXOjMrNu4L7Xle/Ia82pR9/4auqDu7dLWzscL9PYu3ZKWzCiLJ/f1XywafNZv3fFV5yuppVbt6l1nqD+/UwJtbD26qMzeODe3er3LSzavMu+82Dr/yEVy1fRVXBjHd9ldXBfa+L/sM9l3tdzBAZFvf8788887rnRG7h3z6M/eNDQtdo/43hcqnBFlWnKJUu4fPV4z8MXVmFEMLX9PZ/bSIo8OeQn5+/ZMmSFStWZGZmZmdn//KZqISEhE6dOqWlpY0ePToxUYP3RePClJpaw9YMY8Zh3Znicx5gEkINs9V0bF3Tp4saYg1wvICpqqpatGiRx/M/D901P1nUweUuiravXr9GrL/Q8KNHs4UQbdq0KRGuHFEsxN5zHtYtyhZd5Fw98/+zd5/xUZVpG8DvMz0zKZM26YUAoYaEFgi9I1U6iCwCUlYQRYrgKooFFRSFBV2pSvEVQcBGj4iA1CRASEJCQnpI78n0mfN+CMsiQsrMYSaTXP8P/HYnz/OcO5gMc53zlC1Zvn/ZpE0kEk2ZMkUqtcm/3sG8sbmGL9LYO1HGC915fYlIdCGGfzeLtZeqpz3T0PRew+jurJo61G73r6IL1w0BXobW/iyxJ4yHSqnIg7y7MX24/ibqXZjRuHr16uTkZA7HXGZ08SDBhj9Pp/55rJZmZWVlRJSWljZlypTaB5zBOnVixVteWnKR4ewxhUgkeuGFF4YOHcrVgGaq+Pk3Q1mFODjQcYQpT5IfEChcnf8xruiLfaXf/iwND2Wa7hMYTUpG9eUbjEjobPZ5Zk7jh1VfiNJl51X9fslhSENOkbQpyquxRCSL4GyvjfsB/lps0w7wJd8c0uUVilsFuC2aYdpPGs9Ooli5IHfVJ6qY+MpTF8xcvwBNCsOwTg5MaQWvoITDZ0v8nHwiqn33XLBdTfbfddOUlZWtWbPmiy++0Ov1tTTLycnJyck5ceLEsmXL5syZ88EHH7i5NdPHuY0Nw7KCmETRH1FMRTURsRKRvrW/0cONdZCy9naMUs1UqXhFpfw7mbyyStHFm6KoBG2vUF3vMLYpfsb95ptvFi1a9MiLe/uOJYXfB0cP/fTVHU6uMt6/zWfdhxT8fnHBhV8e+ZJSqVy4cCEnV7EwB3Iazpv4k3HfBfaUA+vUrrq16MINYhj15CGsk+kTDQwB3pohPcSnLolPX1a18jvLHk9m40UkHsWfxrfeu/Hdu3c//PBDDgcMsHfyGD6jVKv+9Nf9BrbubZlKSkoOHjxYexutX/DG8KHu+WUHz//MUZlERDk5OY0kwBvVmopfzhCRy8wJ5s97t+8fXvHLGW3mvapzVx0G2/z5jk9S/uNpYlnHMYMEruZuHsHwec7TRhd8uqP8yOmmEeBPnz49duxYtVr94BUnkThm9Itao8G9dzelXsfJVaQCYczoFw0JKXKxpFyrefC6RCL5+eefLf/LVVZWdujQIYOBy3W/9lXqiEvJLI+J9LJTffP1k5rdvn2biM6fP1/LUIog17Drlbl7Dx9ISzBwOtFDJpNNnTpVIGiCn2SaA0Mrf961OEFiupajAM+rrOblFpFIaAjgYK4NNEL4Vf+ftLS0IUOGpKamPnjFzs7O39/fy8tLKpWKxWKtVqtUKvPy8jIzM6urq4lIp9Nt3br19OnTx44da9PGxN1cgTMarfiHSEFyJhEZfD20/bsaWvo+fj4Sy/LuFYou3BAkponORgkSUtXTRzx2aqnraQAAIABJREFUI3GbNmHChJSUlJqf1RpCliJKBEaigGcGzGcG1N5927ZtRPSX/Xgex45ljKXUx8Nv0bz5uodyh5OT04QJE0wu3uqCmDYDmdFn2F+OGw9SaoduWp2+XQtDgLn77et6hAivxTOFJefz98e4x/OJP4b3nJyseY+85n6lQqFYuXIlJwP6FlXRnQKll+v6Tz/hZEAiEumNdDW9h6f/hk8/5WRdd2pq6hdffMHtB31zqG/cNqrUknYtxW2DOBiOx3N8dnDR5r3KS9ebaoBntTrV9QRiGEeOHmZKe4QKXOX6/CJteo4osLbzOGzC3/dU95E68BgmtbKMq/ROREq97k5FcYizopWDc3RxXi1Xt4xPP/107dq13I65vddIxqvFrjs3Pzi4pc7G+/bt27dvXy0NDvaf0M3N68a/d25JfPxeMyaTSqXjxzePozqaHH3bAOG1OEFCqrZ/V07+geMnpBLLGlr7E+7pNFH473qfVqsdM2ZMTXr38vKaP3/+s88+26lTJ/7jzu9hWfb27dvHjx/ftm3bnTt3UlNTx48fHx0dbWeHjUmshldWKfn2GK+wlJXZaUb31bdtUdubIMMYfRTqqcP42fnin//gFZRItx1WTRtu8G9Styo9PT0/++yzh1/RZt67t/RDkb/3ps/+VWf3mgC/devWOlveW/6RNj1nw+v/ErcKMLnaRiiM10NlrL7EnjnePq662LFbSDgHg/J5VUPCThmPJLhn80kwkjc5gGnFwbBms7e3HzZsGCdDCS/dpDsF7q1bDhvGZXRkE3YLqlTP9OrDyaK+mJiYL774wvxxuFJ95SYRSXuEcjWgtFsnhs9X37pjrFY1yU2zVDcTWY1WHNyC7+zEzYgMY9e1Y+WpC8qrN5tAgB82bNjDj9+JSHU9IX/tl10H9mMj99fZnWEYIqpPCC/csLP60vU/fj7aGA6EVyqVRBQaGtq6dWtOBpQSbyDrZiA2M9hrUnBtm+1XVVVlZmYGBwfX/hg8mhV1I5rZoVtex0BOKiSia9euZWRkPHyzHmyLIdCHdZDxCkoEiWn6dubew2X0BuGFG0Sk69iSi+qgMUKAv2/Hjh3x8fFENHr06H379jk51faBgGGY9u3bt2/ffvHixUuXLv3iiy9u3769ffv2V155xVL12rDz589PnTqV2zGlfMGnAV0CxLJ0ddV7KZfyo2pbdvsICY+/3LtdBLnTjkOvp0dnaDj+J7C4+PHr8OspNzd36NChj6xjN1kXe9ePg7peTri1Kji4nl2C69Hy7YCwPk6Khc/NOF+eb16B94nF4sjISA8PD5NH2LNnz9GjRzkpJvxZH2aK9I9+FT/HvZ/2ToGmyKyHV/atJa1e8hR7CsUa3t2NOW/dfI+TInNycswfgatfzBcVLSe4+u/9+cjhrzdxMmCNL4PCA8Sy5YsWc/JLWvNB3xzz5s27fv26aX31ev0jD/+/adnTVSCe/M4b996oozCWZY1G42NvLj/iQ7/QEKl8/pCRV6qKHn5dLDb9vKKDBw+2aNHCtL7Hjx9fvXq1yZd+xPPO/uOdvPdePX+g23dcjdlV6vyGos2FPfvXrH+bqzGnT5++dOlS0/r++OOPixcvrn1NX/2NVASsbt3t0Mnj7295v55dvLy86mzzr1Zdx3gEvrZw0S/56WbV918CgWDz5s3jxo0zeYS8vDydjptZBoPlnnwv96iq4qis+Pq0v3OnjrVpiQwztXUvd76oIiU9W8vNGd01m4mYg8P3f5tg/vs/Eb3zzjsc7vLzjNx7sVeboj0/vpR61UhmzV6Z4hrwgiIoWV352po3OJwGY/7HDOAQAvx93333HRF5eXkdOHCg/g/SRSLR5s2bY2JiLl26tH//fgT4+igvLy8vL+dwQD7D7Oo9OkAsiy8rnPLHERMmB86Ij9vYfegYv9avK4LH/36oTKuuu4+l9O7dOy0tjavROvrzKIgySorqv2NZfVrmOvqRk6KyqDg5nbON0CIiIh5ez9JQ+fn5+fnc3E2YIVH01LntG1Pg1FHacb1f7I47Cd+l6qob/JFa5mEXtqBN63G+DI+RZbOzflZ8ejnpdFoCJ0WaT6PRJCRwU0yZ0IVc/e/l5iakcPndqb07kViWmpqaVG7WTTFOFBYW/vnnnzWrXs3HZ3jOwf30rDHy+jUjdxOPr/LkIa3lwtKKuKTaTrdu2JhXr5oc4IuLi6Ojo7mqZHo3Z3KiKymJ0RlJXI1ZIHN845k2biyPwzr79TN9hv/s2bPNz2YPZPOk1JoEekNeXl7drYmIqD4tjf5aIiooKan/sHWaPXu2OQGew/f/f4b7EtGPyXEJqZy9m52SeEwJbBegNJy60wTf/5uP9PR0DkdLYm4/M8S9taPLRKHLuzdr20mhdh3l7lOC+xLRmqtn4guzuSsQGhcE+PtqPoc9++yzDZ0GzzDMtGnTLl26xO0ezkT07bffbt682YRb74mJiURUVVXFbT2N1syWnfp5+BdplPMvHTdtaZ+RZV+PPuMvcwx18XgjpNfK6DOcF2kyrj6F1FAb9EQk4XP8iy/k8YhIZ6x7u7L64/YbN0drB5cWaZLbc2NFc9yCRvh2ebldh3+0TDyYnvJLVkVGvX7LFKEurcf5txrtxxPyDFpj3J7kTmdEru38QuSK/dQEPzPlq6qJyMOO49NrnEQSIqrUcTMbxUxz587lKr0TkbtEymOYApWSw/RORHmqKiJyFXM5f/7555/v27evt3eDN4PIycn5+OOPOaxEYSclogIVN88waxSplUQkF9XviO/6OXjw4KRJk3r1MmU5CVdzr2rkq6uJyEPC8S9mzYDFGi5Pseb2GzeHv8yRiOLKCjkc83pJ3pTAdm0csT04/I+BZV+PPrO/3/hZrTrdqSj5Lq1eMz4e4Wkn29F7lB1fsOfurYtI700aAvx9NdNpTDvgXS6XExHnq49+/fXXK1eumNyd26fcjZZMIHy5bVciWhn9+z1lpcnjqA36V66eihw2fWJA253JN+5UlHBXYyNSoK4mIgXXH+DcJVIialQzFzjkbiclonv3yjLeyEg6lNH5pbaeXV1D5waHzg0uSSrPvVqUf6O4PL2qMltp0NyfFC1yEDr4yeRBDp5dXL17utt7S4mINbKpx7Ovf5VUkVHl6BlARH4yRyt+X09PgVpJXP+YSQVCDzuZ1mjIVzWKW5MVFRUcjuYoFBFRhU5TZ8sGeRo37AwGg2l3hxMSEmrWqXGl5vuq+R65omONRCTg9Izu7Ozsc+fOmRbguVXzu+Nv78RjGK5uFfEZpo2TKxHdrSzlZMDGRmEnI6ICFZcf8LKqK4nIS2r6gSbQJN0oyV8V8/vn3Yes7TLAw062MeFqg7q3dXLd3muUh0T2Z0HWezcvPKUioZFAgL/P398/KSnp2rVrJvSt6cX5gfA7d+5cvny5CR1nzJiRmJjo42Pze/DUx4utw1zEdlcK753JTTdzqMzqin2pcbNbhS7r0GPBpeMcFNf41Dwa9ZM5MmTeEquHMEStHV2JKK2Ss6mejUpNEK2595EXVXT8xQuKUJfg8QGBQ71d2ji5tHHq8I/7+8SwRlZXrRc5CB8ZoTpflXos+86RjIrM+58Cy7VqIrIXPtqyaUiuKCGiHu7eHP6YRbj7METxZYUGa2xt/XfLly+Pi4srKiqqu2k9lGjUROQi5vLBLxFJBUIiUnG35TgRzZ49u2VLUzZGGjp06DvvvPPuu+9yVUmhWkn/vXvIFQehiIiqOJ3lMXny5GXLlnE4oMnyVNVpVWUt7OVdXDyjinM5GbOrq5ezSHK3sjS3cdxZ41zNBBZu5xdU67VEJOM3zfd/MMePmUnuYrtVIb1ebde9hb38vZvn6/Ozx2OYyQHt3g7tIxUIo4pyX75yqj4HuIJNQ4C/b+TIkUlJSWfPnj1w4MCUKVPq3zEqKmrXrl1ENHjwYG5LkkqlXbt2Na0jt5U0ZuP9g4lo4+2G3ad8ki2J0TOCOg7yDHQSiR8+0rbJyFFW5qqqvOzs28vd4zmaE9jRWaGQSO8pKzOrm+akD53RYMcXCHl81X+f9RXcLCm4WXLpo5uKTi6e3d1c28mdAu1lCglfzK9J7zqlvjJbWZFRVRRXeu9qYUlSBWv8S+zkMzwiaiRZlHPxZYVZ1RV+MseOzu63Srn5MRvmHUREp+9xth+EmUaNGtWuXbvaz3yuvxKtSm80uojsBDyenrulKL5SRyLK4/Th4YoVK+qzf95jtWrF5YELT2M+UYDMiYhyzJjM9Xe+vr7CRnOr7vS9tPnBnYd5t+AqwA/1bkFEkbmN5ReT4eIIrodV6bQuYjsHoYjDDC/i8YlIY+T4DEsepzNHwFq2J9+4W1X27/BhY/1aD/EK3Hbn+r7UuCf9+Al4vAEeAcs69Gjr5EpE36cnrL5+Tsf1jxY0Qgjw97388stfffWVSqV6/vnno6KiXnvttTo3Xy0rK9u2bdt7772nVCqFQuFLL71kmVJtnVwu9/Pz42Qof5E00F5eZtCqvFxDPGtbTqbX63Nzc11dXeu8uxGnqugsc57Zve/ZCm7WYBcVFeXmcvNRyXws0el7aTNbhgz1bsFVgB/m3YKITuemNaowOnPmzFGjRnEylPBEFFUo9335lcrxyT88SqJ0YonV83VCg+j+i/5E/kQjH9PcOaeY/oxv1bHD9y9xs/Hvli1bzAyTPj4+jxw6aA7R9RRKvrd9wWsZnTk4xoavN4QevUoa3YjliwfU8l+hIRITE9955x1zRti+fTuHW40w//mBV1YZ9csJvQdnK2Pl3/xCuUWvfvT+whYNXrL+JCbvYEdEI0eOjIri7OxrSfRtOnX5jekvLH62P2djXr5Fv0e16tcrat3rXI1pzmkaNfbs2WPOwQEPsy+ppMjrszt077pykV5o7idAgUYXevwaafV9Fr74vcsSTirUaDQzZ840ufvUqVOjo6NVKs7CdiWPdSEa1K1Hhq6O3RbS09MLCgpatGjh7u5ee8teUhciYmV24eFcHE1KRESurq4DBw40uTu37/+Nn/nv/0T07rvvtm3blpN6/i6lUuV/K805u2hJ+/BXO/SodnUs83JROkp1diJiSKAziKpUjoXlTvdKBDo9EWns7bJDAltM6beP/vmUSlq6dCk2om88EODvCwoK2rRp04IFC/R6/SeffPL555+Hh4f36NEjKCjI29tbKpWKxWKdTqdUKvPy8tLT069du3bx4sUHh6x+/PHHnTp1su630PjV/KtWVlbG1ba6PYM7E9HJzJSbsbH1aV+f6x6pZjt37t9ax9t865a59T3Ezc3NtI59+/Y9efIkh5Wcupc2s2XI1MD2W5NiVGYvH5UKhFMC2xPRqRyOn8D07dvXnO4eHh7t27fnpBJR1F2qULZy8zC04ubGExGJimOISBrgy1WRtZ98WR9isZirYoiI5+bJphz0SMtzGDXAKDdlb5GHiX+/JtDoDAHeLXp246Q8InrkiGwTtGnThpNKahT3uFt58lxAlU4+0pSJV39nKCnLyivmScQhzz7DNI4nwC4uLi4unN2e0Pu3yD59xS49Nzg0jBGYOCngEbmH/9AQ+Y0YKO3aiP5Bb9eunUTC2fIKQ0axIDkzJL9aMyzCzKHEJy/ytXp9a/+APj04qY3M/sUMDw8/e/YsR7UQEeV/+B9VTPzXn3wmi+hce8sFCxZs27Zt1apV8+fPr71l6b6fyn88PWzGtKnPjeGuUrNw+/7f+Jn//k9EgYGBT/cvrUdXVVae6M8bvJQs+6Jy+6LHT3I0erjqurTVdevgweeZe7OwVlzdRgROIMD/z7x582Qy2SuvvFJcXKzX6y9evHjx4sU6ezk4OGzevPmFF16wQIW2bvjw4RcvXuRwtz/3czcoIX3QzOdOr/tX7S2PHj26cePGUaNGLVlSx1MCcWEZHTo7PLTr6bUruKqTz+f37t3btL4nTpzgqowHct/8zDMpNffAUacJw2ppVjMXka11mnfZweNl3x8Vtwr482AmcT13sZEweCv4qTn8u1kcBnhBchYRGQM8uRqwsTEqXPShwcIbSaJTl9RTavsxqxOvrFJw8SYxjGYoZyGhEZKGh1SePKe8fEM+eQQnv0rVl24Qy9p1bt9I0jvnBO4uogAfbXq26nq8tDsHeVtfUKy5k8aIhHadntZTtcZAM7iHNCVLeDVO3z7I4Gv6B35+Zp7wahwxjHZIE/nFZFl29OjRNef4PDBF0WKBT9tv33xvXUYdzwlqdsR48803161bV3vLXe36BkjsX1z33s23/vKBZOLEievXrzepdmiaDH6eqmnPMDo9PyWTn5HLFJfzlGrWyJJYaJQ7GD3dDG0Dzb9FDrYIAf4vpk+fPmLEiC1btuzfv7/OIzHbtm07efLkV1991dXV1TLlNQEREebe8n9YQUyqkqhDRA9peB2f3mpOFPfx8RkyZEjtLY3VysxDZyVqXZ0tbZfz82Py3t5UfuSUtGeY0Fth8ji67LyKn38jIucXJjTV9E5EhraBdOG64Haadjg3+0gz1SomK48EfH0QxztfNiragd2FCamChFTRpVhthIn5itHpJftPMDq9vmMroxlho/GTdAjmuzhpM+8pr96U9ggzczRWoy3/KZKIZH04m7PQCNkPiijZdbBs/1FptxDz34JKv/uVWFbWuysjFtXd2mYZPV21PUNEl2Il+08q501gnUzZC50pr5IcOEkGo65XqNGjiXwE0uv1MTExj5xm/31ByQKftt1lrhlp6fXZGKyoqKj2vS0D7eUBne1LteqfY2MeGfDmzZumVQ5NGysU6NsF6dsFWbsQaEQQ4B/l7Oy8evXq1atXZ2ZmxsXFJSQkFBcXV1VVKZVKiURib2/v7u7etm3bkJCQgIAAaxfb3BnKq4iIb9LnjydhJBIiMmqa4A52D0jat5b17VZ9Pqrg461eHy3nyUw5JtpYrSxYv82oUtv36y5px8E650bL4KNgHWS8skp+ao4hiIPDHYQxtxmWNQT5UpPOCayTvXrCYMn3J4WnLhnl9qZ8+NAbxD9E8vKKje7OmjH9nkKNjQgj4Msnjyze+l3pt7/YdQthTN0orkbF0d8NJWXiVgF13ty0aQ7D+lQc/V2bkVP1+2X7QWbdHdakZFRfiGKEQvlUbvbOaMx0wyL4BaX8u1l2e35VTR/BujZsAQ6vuEzyf8eZKpWhtb92aM+nVKTlCYXClJSU/Py/bX/z2R7nvKI7/3eYwkNqH0GpVNa5zw7vUCRdiZX37nZn419mDgqFwjq3XgIAqIEA/0T+/v7+/v4jRz5uByqwhpycnEcWNQRXlDkR/XHydHlsHesqo6OjiSg1NfXgwYO1t+TpDV2JDEQPt2QYpkOHDu3atTO19kbH7Z/TdTn52tSs/I/+o1g5n+/QsJsghoqqgvXbdPcKREH+rguee0pFNhYMo43oJD51SXzqonLBJHMf9ClVwgs3iEjbs3Elq6qqqlOnTnE+bBtfeYesUsmB07d95bd95SxDWntVtVO5VqrSSJVGvkGlVwoEQhGJ+RqBRCkTV0mlpU4CvVCkM/RMyrevUGv5vLN+DlV/nOW2sJpZOY2Kw+CIiqO/67LzSncfdpkz2eRxtKmZZT+cICLn559twlNjiIgR8J2njy38fFfxzoOiIH9RoIn31wyVVYWf7SKWdRw1QODmzG2RjRDLMOrJQyW7f+bnFkm3H9ZMHKxv7V/PvvykdMmRM4xaa/ByU08cwjatHzCZTBYU9OitRuWMcQWf7hCeueo7foSZszN0Ofk5UXEMn+8zc6LQq4697gAAngQBHmzGuHHjHtnBeF3XQVMC2+38fNOB9Nv1GSEyMjIyMrL2NoH28t+HP59bWf7IaYISiaSsrKzJ7OHBiEWK1+fnvfWZJjE1d+UnilULRP713adam55dsH67vqBY4OasWDm/cU43PXDgAFdHfBGRkGE+9+jomlf8/WtvRlY/cff+qqqq/Px8f3//Wk6NWiAPGCBzi1GXf/LRGq7KI6KUlBST+woEAiIqKCh4SqdVLwjusiKkp4zyiiWxmR30QudH/3K0pNOSkojKqZCIWCNrTNP0TXKRGJ2yqqvnXTqWdKD4aRRGRCafiPZU8HhuL/8jb/XGimN/CP28HIb2MWEMfXFZ/kdbWa3OcWR/SUgw5zU2NrLeXVSxt6t+u1SwbqvX2qV8F3lDR2A12sJPduoLisXBLZrD4/carESkenGc+Kc/hLeSJd8eMwT5aIZFGD1r22yVV1gq+v2aICGViPTtgzTjB7Fm72NvE6Q9QsXBgZo76SV7fnSd14Bjhh/B6g1FX35LBqPDiP5I7wBgjmbx5gtNw8KFC48fP/7wK66sPbH0TLeebPeOtfdVq9W3bt1q1aqVs3MdT1c6kYSMVC0TT578lydgbdu2tbn0npeX9/HHH9dyoI4dSxOFAr+C4uylH8ZKjOfsDNV/O0d2wYIFD7fvqeJ3VzF8YnIE7CFDQfW/Vj5pcCcnp6VLl3p6Wnqftpo9KTIyMjIyMjgc9m3fwi96DJ/p6HPiZlRUUW3nAhYWPjHhz2wZMsDHTWXQrzp/LLmihMPyaph22EHLli1Xrlz5tJ5IM1TR1ri+V57O00DECEkoqeDxMnjlhWQooYrCqsvnrzg5OYb36c5zIokLSb1J42vQt5RcbKm8PFxpuMUL8x/YqfSpPOWTSCTPP//80xjZZOJWAW6vzCz8bFfxtu8NpRXyKQ2bAqbNyClYt81QWm7XqY3zCxOfUpGNjev8afrcInVC8r1Vnyheny9u1YDVbYaSsoL12zUpGXwXJ8XyF5nmkUjvEwg0Ewax3u7CP6L4qTnSrYeMXm76ti30LX2NbvKaBT6MRssUlvLvZgsS0/l5RcSyrESs7d9V15ODTQdsBsO4zp2a+9ZnlSfPiQK8HYaZcmeNiIq37dckpQrcXZymjOC2QABobprTv1Vg42bPnj179uyHX1HfupP37r+H+7Wa/Vkdu9DXX9G/d1eduxYxc9rwMYO4GtNaDh8+vGnTptrb/IfHf7NT7+lBHcLUvOAqw+95GafvpZ0ryCzV3D9kZdu2bS5iu74Kv2HeLQZ4BkgFPD1r/OburY9uXdQaDbUPHhgYuHDhQm6+mXpbsWJFRESE0Vj3bkMNVXY5Xn4jef/wabmje6ndHvOgb+PGjUePHl2yZMljj6C3T8nxOBNFLJU/E/HlokmclyeVSnv1MmWbPR6P9/HHH3NeDxFlqdL35PznbnWSjshJIO+a7dPmlxL3PD4R8ewk4uDAUj/2G16Ft8xzuu8YbWau9kYOsaxBwKZ2FSUMEt0SJjNhRsfOvGHuY8d4TBbzODtJqzGTRXQ2zBxfsudI2YFjunsFLrMn8p3qsckwy1aduVy86yCr0UratnRf9iLD/9vduCaK4fMVr88r2LBTfSsp7+2N8imjHEf1r3vvfZatvhBVsvuwoaxS6K1QrFpgwtN7m8cw2ohOurA2wvMxoujbvHuFonuFojNXa75ERPTwKSRika5rO23fLqydjd3LNp8oyM9t4fOFm3aX7DxIPMZhSMOOlWENxtLdh6rOXGLEIsXKBQ1dswYA8AgEeLBh4vatePZSbeY9fV6RoNa5f/XEGgzKmHgisutex141NmHWrFlSqVSr1dbZ8kq1pnVKnqKgYpRvq1G+rYhIK+SriSUiCTEi3X+DOsPkuzumBHt6Dw/bTDNqH1MkEj2yDMEyRCLRoEFP5+bLoEEF67cro275/XLRbeEMWe8uj3y9Zt+Edu3aPXqEAcuW7v+1/LcoYln5lJGBDXysaotYYo8VHDqS952RNTgLXcd4TO7jMljQQajvXFx17qry6i1tWpbqZqKE6J9tuhBR1blrRMSIRXad28t6hAZFdBkq4Bdo847m/3Ch5LdjBYeiyi++FLA8wK4pb5f4gOOYQQJvRdHGb6ovRKmibjmOHewwvO+TYjxrMKhiEsr2/6rNyCEi+8ERrvOmcXUuuq3g2Us93lpU8vUPlSfOle77sfLEH07jhkp7hPKdH7M9m1GpUsXEl/8UqU3LJiK70HbuS2fzZHXsPdaEsXZi7bAI7aBwQVoOPzGNn1PIFJcxOj0RsUIB6yo3+Lgb2gXpA72pmf1cPUzWp5sur6hs/6/FX32ny8x1/sez9Tyg0VBeWbTpG1VsEiMUui+ZbfJODQAADyDAgw1j+Dxp905Vv18u/znSdf408wesOnPJWKUUBfoIPZvC+jSpVDpr1qz6t9cXlSqvxaquxWqSM0Qq9YOl7Tw7ibh1gDQ81K5bSKCbcxM589cEPJ77inmluw9XHDtb+Pmuqt/+dJ41sc69AzRJqSV7ftQkpRKf5/zcWKdxQy1TrBVpjOr/ZHwaWxHFEDPUfcx4z+kS3v2TDgQKV/mkEfJJIwwlZdq07NyEpE8//KhFUNBLy5cKvRSiln4PfyZWiDxn+708wHX47uwvM1Vpa5NXzfJb2Mt5oJW+LYuSdu3otX5l6b4flVdulh04VvbDCUlwC7suHYR+XnxnR4bHGKtVuvwidXyyKibBWK0kIoGHm/P0MbLeXa1du3UwfJ7r3CmyHmGl+37U3M0s3nGgeOdBcasAcetAgcKFEYtZna7mp04dn8zqDUQkcHeRTxtt3697M5oNXgsBX9/a/3+72dU8e8ffzEPkk54RerkXfbGv4thZ5ZUbTpNGOAyOIN4Tp7qwGm3F8T/KD58yKlV8ZyfF6/PErQMtWC8ANFkI8GDb5JOeqT5/rTLyouPIAUJfs5ZbG9WasgPHiUg+uek/IH0sgZuz44j+jiP6E5GhrNKoVhMRz05Srxm8zQPD57nMmST09Szdc0QVm6Ra8bG0eydpeKi0Swee/V+e4OkLS5TXbikvX1cnpBCRwM3ZbdE/msOmYtWGqs9T30tV3nEQOM7zf62jQ+fHNuO7yO1c5EFdO04LcA8KCrL39X3SgC2krd9qvf77e9/8VnQpl+ZrAAAgAElEQVR0Z+a/K/UVw92ffWrlNyJCL3fFinmapNTyH0+rbiaqE++qE+8+tqUowMd+cITDsL7N7cH730lCgr0+XqG8crPqfJTqRoImOV2TnP5oIz5PEhIs69nZflBE81r03iCI7o8j691V4OFWvG2/NjWreOt3ZQePSbuFSLuFiFr43p/uYTTqC0s0yenKa7GqmASjSk1E0u6dXOdNaY5rNJq0uLi4+sxw5FZ1dXVZWZmPjxXmcdSyoRJYHv7pAtsm8HCzH9y78uS54q3febzzijmfX0t3HzGUlouDWzTtk5PriS934BNy++M5DOsj7RFadvB41ek/lZdvKC/fIIYRKFxnlPP79R3b4UpK1rU3DaXlNY15Mjun8cMcRw5gRPWab2nTtEbNprQPUpV33ESKpUFrPMV1H23Qr1/dB7wLGOHzPvO8xD7f5mz//t7XPIY31G0MF/XaAHGbIMXKBaxGq7qRoE5I0eUWGiuqWCPLsxMLFK6iQF9p9xCBwtXaZTYmDCPtGSbtGcZqder4ZG1WrqGknNVoGKGA7+Qo9PGQdAx+5HZbI1dRUWH5nKDX6+m/R1RYklqttvAVG0rcKsB73evVf0bX7FJReepC5akLNV/i2UlqEvsDknYt5c+PlbRtFmt/mg8ej0dEn3zyibULsQLek6ecgCUhwIPNk08dqYq+pb59t2THAdd/mngmeeWJc5WnLzAioeu8qXjyAHXiOzm4zp0inzBceS1WeTVWHX9Hn1/kRzw/hR+VKw1EPDuJXZf20vBQuy4deHbNYvc1ltj/ZHySUp3oJvL4V6uP5EIXbscf5DZSxBN/nbVlf84ud5FnmGN3bsdvzBixSNojTNojzNqF2BJGJLTr3N6uc3trF2KuwYMHW7sE+CuGkfXpJuvTTZuRo7wWq76RqM3JM1ZW16R3gatc6O9t17mDNLyTwK2Og2/AFi1atKiWw2KfqqtXr1ZUVISHhzs6Olr+6oGBgS1b4m5Uo4AADzaP72ivWLkg963PKiP/ZMRClxcm1LIm7bEqT18o+foQMYzbohmiFk+cygvwCL6Lk8Pwvg7D+7IGgz6/uDq/8Nb1G90ieghdnQXuLs3tTtDxgiM3K6LsBY7Lg9Zwnt5r9HEZXK4vPZS7b2fmpjXBn7uKmsJeFQBPMnbs2JMnT1rl0mVlZUQkl1th1rdAIBg2bJjlr2sCUYCPKMCHJt0/Fs6oUjeT27XN3OTJkx85adhiunXrFh0d/eWXX3bt2ky3O4EaCPDQFIha+Lq/Oqvw810VR8/qcvLdXnmB71ivY1pYra5kz5HKE+eIYZyfG91s938CMzF8vtBbIfdW9O3cwdq1WEeWOv1w3rcMMfP8lyjEXk/vQiMVE9OUyTHlV3Zm/XtFy/cYal53SaBZ+e6776x16dOnTxPR0KFNf9NNDiG9A4BlIMBDEyEN7+T57qsF67erbtzOWfiOwzP9nCYOr+1fU5atvnyjdO+P+oJiRihw/edz9v2b7/bqAOZgid2XvdXIGoa4jQ5xePR0PW4xxMz2W5xSnZhYdety6R8RzgOe6uUAmidEd4BGaPTo0Twer1WrVtYuBKwMWxFA0yEObuH18QpptxCjWlP+4+nsBasLP99V/We0vqD4/ok4RIaSclV0XPHW/Vnz3yrcsFNfUCxu6e/5wVKkdwCTXS+/klx920noPN5zeoM66vX6t9566+jRow3qJePbT/Z6gYgO5e7Ts/oG9QUAALBRa9asuXr1qpOTk7ULASvDE3hoUgRuzopVC9S375Z9+7M68W71nzHVf8bUfOnv28MKvT3kU0fKenVpbmuVAbh1tOAQEY1RTLHjN2xz7/j4+LVr14aHh48aNapBHXu5DDxZ+FO2OuNS6dm+LkMa1BcAAADAdiHAQxMkadfS84PXag7iVl2P12Xe0xeX1aR3noNM5OspCW0r7d5JFGCFgzQBmpi7yqQ0ZbKjQN7XtcF7ZdccVWUwGBrakSFmlMekrRkbfis6igAPAAAAzQcCPDRZAncXx5H9HUf2r/m/2B4Wnrbr169/8cUXa9eu9fDwsHYtlnOx5Hci6u0yUMiILHndrk4R9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" width="672" /></p>
+parhist(f_saem_full_multi)</code></pre>
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CxgZmYWGhoqvX7gwIH0kSufz09ISGjyuKAe9PT09u/f/+rVq23btvn4+DAviwkEgnv37m3fvn3MmDGWlpZz5859/fp1A4+lyHcP+Y4ePVpRUUEIWbhwocwe1BEREfStDdqvm1LXHa8hf6pYpNleQk35c2emrd24caP0sww9PT36Arwims9F/vz5c+mVmZmZxcXFMje1TkjgoemUlpbSBfq4TqZOnTrRCdglxqIvKSmJjY0lhAQHB8scu6ghmOnfp06dKrEpICCAPpJMSkqiL8k3EK2NyP1eXlVVRRfkJPnQxEpKSkaOHEknGiSEKH4RlpaWrlq1qkePHvQCNjU1/eOPP8aNG9dYgTZjTKOHzFFqOByOj49P00akTs7Ozm5ubrQZRFxNTU18fDwzYCdI8/X1Zb5PS2B6Lqjkdg2NzcrKKjw8/OLFi0VFRYmJiZs2bfL19WW+IfD5/J9++snZ2bmBj2MU+e4hHzPmztixY2UW6NChA+1lnZub++LFC7pSLXc8pf9UsVQzvISa7OcuEAjolWltbT148GCZZYKCghSsTe0XuYeHB30GsWHDhtmzZyclJQmFQgX3bYUwiB00nYKCArogZ+BlQsiECRPu3r379OnTR48eMfNenD17try8nIg1iasKn8+nnXy4XO6dO3eSk5MlCnTo0CEzM5MQcvToUTpOfkMw3zvlzGjCbFL62wao3K5du6qrqzkcjpaWVlVV1Z49e6ZOncq8YVibU6dOLViwgA7uQggJCAj46aefLCwsGj/e5ojmVBoaGkynPgk2NjZNG5H6VVZWJiYmPnr06NmzZy9evMjMzExPT2ce4YFMzDijcjbR+ZOALbS0tDw8PDw8PJYuXVpdXX3t2rXo6OioqCiBQJCbmxsYGJiWlmZmZqZc5Qp+95CDacKVM9Eas+nNmzd0WS13POX+VLUAzecSarKfe35+Pu2nyUyiJM3S0lJXV5c2rcun9ovcyclp3bp1q1atEgqF+/bt27dvn7Gxsbu7u7u7+7Bhw9zd3aW7GLRmOBfQdOgA7BwOR/5co8HBwfS3NDo6mllJ+8/b29u7uLioNqo//viD3toEAsGaNWtWSqHZOxGbKL4hmCE9cnJyaivDbDI1NW34EUEl6FeivXv3rlmzhhAiFArnzJkjEAhqK//+/fvx48d/8sknNHt3dna+cuXKqVOnWm32Tgjh8XiEEFNTUzo2pLRWdXKqqqo2bNjQoUMHb2/vBQsWREZGxsTEPH78WCAQ0LF/1R1g82VpaVnbJltbW7qQnZ3dVOGAimlpaQ0dOvTnn39OSUmhs3zn5+dv27ZN6QoV/O4hB+0krK+vL+epurW1NV0oKiqiC2q549X3T1WLpN5LqMl+7syVxlx70jgcjpyt4prDRb5ixYrbt2+PGDGC9j/l8/kXLlxYu3btwIEDLS0tN27ciKfbDCTw0ETS0tIKCwsJId26dZM/CQedJY6IJfDv37+nwxcxb8irENN/vk7Pnz9PSkpq4OGY14EyMjJkFhCJRC9fviSEWFlZGRkZNfBwoCr0K9GsWbMiIiJ69OhBCElJSaltiq+ioqJBgwbRp06mpqYHDx5MTk4eMmRIk0bc/NCXvQsLC2v7NkmHomgNRCJRUFDQypUr+Xy+lpbWmDFjNmzYcO7cuSdPnpSWliYmJnp5eak7xuZLztNPJm9XerYwaGxnz54dOnTo0KFD6VtFcjg6Ou7cuZMuS3eOU5Di3z3koClNaWmpnIFpmMuS6Wenljtevf5UsVQzv4Sa7OfO5MZv3ryRU+zt27eK1NZMLnI3N7fY2Nj8/PyzZ89GREQMGDCAJvO5ubkrVqzw8fFpbU+jaoMEHpoI03zt7e1dZ2HaT57H49GE+fTp03SKS5Un8JmZmTdu3CCEGBgYlJaW1jbYY2BgIC3f8KHsmJcC/r/27jQ2ivKPA/hwNRAUiWjVQJRDARGwIErUaEQ0oFDveIBiFCRGlKiRqHiEF3IIQaN/Dg+UoKLEC9RWRVAxCgjSpngGBERDFArIpRUK0v+LiZOmFwVKd5/283m1mZndnd15dma+O8/8nm+++abCBX766af4bqtkSdLBiBEj7rjjjiiKmjRpMn369HjiY489Vv7AuXv37iuuuOK7776Loqhfv34//PDDrbfeWudvRKyOE044IYqif//9t7KzjaS3S52Xm5sbVw/u1q3bunXr3nvvvdGjRw8cOLBLly4qXxzQ2rVrK5uV9Jxv27ZtLa0NB6lBgwYLFy5cuHBhfPCtWlLsc/PmzYf2dgd17lGZpNNHcutveUmzTBZOyR6v+oeqcKV5E6q17d6iRYu4f0EVJT82bdpUzXLIadXImzdvnp2dPWnSpMWLF2/dunX27Nnxxf8vv/xy1qxZh/CCdY8AT234448//ve//8WPhw8ffsDlr7vuurg3TlzKLr6S2blz5xov3D179uySkpIoiq666qqkhGl5yY33c+bM2bdv3+G8Y9u2bTt37hxF0ZIlS5I+SKUlQyUlg8mRDuKBBmMXXnhhPIj3rl277r333jJLPv744/FZxaBBg3JycupVt/CqJUPpfvrppxUusGjRotpbm5T67LPP4geTJ09u06ZN+QUq3DkQmz9/flJTqoxk+JLzzz+/FteIg9CxY8f4wdtvv33AW3OTwlrxoFMH62DPPSqTjH2TjNpVxtatW+NVPfbYY5MbklOyx6v+oSpcad6EanO7x41tw4YNySCaZcydO7eaL5XyRv7cc889+eSTSY+JRPPmzQcNGpTk9sPvCVs3CPAccX/99dcNN9ywY8eOKIouu+yyM88884BPOe644/r27RtF0Ztvvrl169ZPPvkkOgLl66JSf6wOGjSoisUGDBgQ9xcqLCxcuHDhYb5pXBR09+7dL774YplZe/fuff7556Moaty4cWWFQEkHkyZNiisUvPXWWx999FEyvaioaMaMGVEUdejQYcaMGZXdFVY/XX/99fGDyZMnx3+clfbxxx/H3RbqgyR/VlhUacuWLQsWLKjdNQrJ5s2bp06dWn760qVL582bF0VRx44dKyyJTDro1KlTXDF7zZo1DzzwQBUdYrdv354MgVb9YtqJQzj3qMxNN90Ud42ZPHnyzp07yy8wceLE+Dpn6f5W6bDHq+xQFbQ0b0K1ud2zs7PjB6NHjy7/Xrt37x47dmw1Xyrljfzdd9996KGH7r///gq7ACTX2A65FGVdUwtjzVNXJaNHZGVlVbjA/v3758+ff8YZZ8SLtWjR4rfffiuzzLBhw+K5K1asKD195syZ8fRbbrklfvDTTz+VXmDChAnx9Dlz5lSxkknsnzdvXplZyQ1Rxx133N69e6v+sIMHD44Xvvnmm6te8oC2bNkS32t01FFHlf7U+/fvTwY3Hj58+GG+CzUiaeRjxowpMyv5/6V9+/ZFRUXxxGR81EmTJtX6ygbgmmuuSX7Xe/bsSaYvW7asdFeFGTNmpHAla8G0adPiT3r33XeXmbVs2bKsrKzkq1i7dm3puX/++ee8//zzzz9Vv0v//v3jF9m4cWMNf4BUSHpdy0UUAAAKrUlEQVQnRVHUuHHjqVOnlp774YcfJid2b7/9djK9Pn9jaevrr79u1KhR/FX37NkzLy+v/DKLFi1Kaqf36tVr3759yawaOfeoomHEgzueeuqppSeOGjUqfrWzzjrr119/Lf1e48ePjyvvtmrVatu2baWfVWt7vIM9VFUooPaf5k2o1rZ7UVFR0ocrOzt7+/btyayNGzcml8ejKOratWvpJ6a8kccdInr16pVMefjhh+MlBwwYsGXLltILb9++PakLk5OTcyjfVJ3j6hA14LfffovvuUoUFxdv3rw5Pz8/KZ5x9NFH5+TkVH88iauvvvrOO+/cs2dPXGSue/fucc/zGpSUr7vhhhsOeKX0xhtvjG+Anzt37t9//928efNDft9WrVo988wzt99++19//XXhhRcOHTq0V69eO3bsmDNnTjx2a7t27ar/pympMnTo0JkzZy5ZsmTdunVjx4594oknolKlDV555ZXc3NyqX2HGjBlVDIhVJ73wwgv5+fnr169/9dVXFy9efNFFF5144on5+fmff/55cXHx4MGD419Zs2bNUr2mR1Z2dvYjjzyybdu2KVOm/Pjjj1dcccWxxx67bt26vLy8+OykU6dOq1atiqJo1KhRw4YN69OnT9OmTaMoWr169VVXXRW/yIYNG6pZXriOadiw4b59+0aMGDFt2rTzzjsvIyNj2bJl+fn58aDBF110UVK1JPKNpaXevXvPmjVryJAh+/fvz8/PP+uss9q3b3/GGWe0bNmyuLh406ZNa9euTUbfbNOmzRtvvJGktdIO59zjYBvGI4888tprr/3xxx95eXndunW74IILevTosXHjxiVLlsQlyqMoGjduXJkiZ+mwx6vwUBW6NG9CtbbdmzVrNm7cuCFDhkRR9MEHH3To0OG88847/fTTf/jhh6+++mrHjh3HH398w4YNq1nHLrWN/J577nnppZcKCwtzc3M7dOjQr1+/U089tXHjxmvWrHn//ffji//9+/dP/maq71L9DwIBS/7CPKDevXsXFBRU+CKVXYEvKSm58sork1cYO3ZsmbmHeQV+7969cfGPKIoWL158wA+7Z8+e5PJOfOf8YZo0aVKF/xp07ty5TF8DUqiKyxolJSXffvttvBEzMjJ+/PHHkpKSfv36VX/3W9mPom775ZdfkjsYE40aNZoyZUpyk9vcuXNTvZpH3Lx58yo8oWnZsuWsWbPK3Oa3YcOG+FnJ/ZylJ1YmoOtp1ZFcgc/JyTn77LMr/E1dfvnlu3btKv2s+vyNpbmFCxfGlwGrMGDAgPJXPmvk3KOKhlHhxcmSkpK1a9dWtsJNmzZ99tlnK3yj2tnjHeyhqkLBtf+0bUIltXuke/rpp5s0aVJ+5TMzM5cuXRp/RdW5Al9Si428/BX4kpKSTz/9tHQRhzL69++/c+fOmvjC6gL3wHOktGzZsnPnzrfddltOTs7SpUsP4faz0je913j9+QULFhQWFkZRdMopp5x77rkHXD4jIyPpJnT4teijKHrggQdWrFgxfPjwDh06NG3atFWrVr1793766afz8vJqvK8BR0i3bt3uu+++KIqKi4vvuuuu6L8xUalC27ZtV65cOWHChO7duzdr1uz4448fOHDgF198MWLEiPhWw6iSO8PrmCuvvHL16tV33nlnz549jz766GOOOaZnz55jxoxZs2bNkCFDzj777IkTJ5500klNmjQ57bTTlKYvrWvXrkuXLn3uuef69OmTmZmZkZHRunXra6655r333svNzU3GNyLN9e3bt6CgIDc3d8SIEVlZWSeddFJGRkZmZuY555wTD7K4cuXKg+q4Fzv8c4/KtG/fvqCgYNasWdnZ2a1bt87IyGjZsmVWVtaDDz64atWq5A64MtJhj1f+UFU3pHMTqs3tfu+9937//fcjR47s1KlT8+bNjzrqqC5dujz00EPfffddUpqumlLbyC+++OL169dPnDjx0ksv7dixY7NmzU488cRzzz33tttuW758+UcffVTFGPX1TYOSciUHAKD2jRw5Mq73u3HjxnhwGoC6yh6vfqrl7d6tW7fvv/++a9euKSkTq5EfIa7AA1AbCgoKevTo0aNHjxdeeKH83H379r3zzjtRFJ188skO80Do7PHqp3q13evVh00rAjwAtaFLly4///xzQUHBtGnTiouLy8x9+eWXf//99+gI3C8DUPvs8eqnerXd69WHTSuNxowZk+p1AKDua9SoUWFh4bJlyzZt2rR8+fJ27dq1aNFi9+7dK1eufOqppx599NEoilq1avX6668fzigPAOnAHq9+SrftPn369MLCwszMzCNR/iDdPmw9kuoqehCeQx7E4oknnkj1ukMq7d2795JLLqnsB9KiRYvPP/881esIUDMOao/n1KLOSKvtXmEV+lR9WGqKceDhoPXr169NmzaH8MSsrKwaXxkISOPGjT/++OPZs2ePHz9+1apVJf9VUT3hhBOuvfbahx9++NB+WQBp6KD2eE4t6ox6td0d1lNCFXoAUqCoqGjdunVFRUWZmZmnnHJKgwYNUr1GAEeKPV79lPLtvmDBgsWLF+/cufOpp5460u+V8g9bfwjwAAAAEABV6AEAACAAAjwAAAAEQIAHAACAAAjwAAAAEAABHgAAAAIgwAMAAEAABHgAAAAIgAAPAAAAARDgAQAAIAACPAAAAARAgAcAAIAACPAAAAAQAAEeAAAAAiDAAwAAQAAEeAAAAAiAAA8AAAABEOABAAAgAAI8AAAABECABwAAgAAI8AAAABAAAR4AAAACIMADAABAAAR4AAAACIAADwAAAAEQ4AEAACAAAjwAAAAEQIAHAACAAAjwAAAAEAABHgAAAAIgwAMAAEAABHgAAAAIgAAPAAAAARDgAQAAIAACPAAAAARAgAcAAIAACPAAAAAQAAEeAAAAAiDAAwAAQAAEeAAAAAiAAA8AAAABEOABAAAgAAI8AAAABECABwAAgAAI8AAAABAAAR4AAAACIMADAABAAAR4AAAACIAADwAAAAEQ4AEAACAAAjwAAAAEQIAHAACAAAjwAAAAEAABHgAAAAIgwAMAAEAABHgAAAAIgAAPAAAAARDgAQAAIAACPAAAAARAgAcAAIAACPAAAAAQAAEeAAAAAiDAAwAAQAAEeAAAAAiAAA8AAAABEOABAAAgAAI8AAAABECABwAAgAAI8AAAABAAAR4AAAACIMADAABAAAR4AAAACIAADwAAAAEQ4AEAACAAAjwAAAAEQIAHAACAAAjwAAAAEAABHgAAAAIgwAMAAEAABHgAAAAIgAAPAAAAARDgAQAAIAACPAAAAARAgAcAAIAACPAAAAAQAAEeAAAAAiDAAwAAQAAEeAAAAAiAAA8AAAABEOABAAAgAAI8AAAABECABwAAgAAI8AAAABAAAR4AAAACIMADAABAAAR4AAAACIAADwAAAAEQ4AEAACAAAjwAAAAEQIAHAACAAAjwAAAAEAABHgAAAAIgwAMAAEAABHgAAAAIgAAPAAAAARDgAQAAIAACPAAAAARAgAcAAIAACPAAAAAQAAEeAAAAAiDAAwAAQAAEeAAAAAiAAA8AAAABEOABAAAgAAI8AAAABECABwAAgAAI8AAAABAAAR4AAAACIMADAABAAAR4AAAACMD/ARhUKbDleMOFAAAAAElFTkSuQmCC" width="672" /></p>
<p>We see that not all variability parameters are identifiable, most problematic is the variance of k2. So we reduce the parameter distribution model by removing the intersoil variability for this parameter.</p>
<pre class="r"><code>f_saem_reduced &lt;- update(f_saem_full, covariance.model = diag(c(1, 1, 0, 1)))
f_saem_reduced_multi &lt;- multistart(f_saem_reduced, n = 16, cores = 16)
-parhist(f_saem_reduced_multi, lpos = &quot;bottomright&quot;)</code></pre>
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" width="672" /></p>
-<p>We can also analyse the log-likelihoods obtained in the multiple runs</p>
+parhist(f_saem_reduced_multi, lpos = &quot;topright&quot;)</code></pre>
+<p><img 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" width="672" /></p>
+<p>We can also analyse the log-likelihoods obtained in the multiple runs:</p>
<pre class="r"><code>llhist(f_saem_reduced_multi)</code></pre>
<p><img 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" width="672" /></p>
+<p>The one run with the lower likelihood is probably responsible for the outliers in the boxplots above, and caused by some weird starting value combination. In any case, the converged values from the original fit (red circles) appear perfectly acceptable, supporting the choice of starting values made by mkin.</p>
diff --git a/vignettes/web_only/multistart.rmd b/vignettes/web_only/multistart.rmd
index a25b73ce..8f349973 100644
--- a/vignettes/web_only/multistart.rmd
+++ b/vignettes/web_only/multistart.rmd
@@ -1,7 +1,7 @@
---
title: Short demo of the multistart method
author: Johannes Ranke
-date: Last change 16 September 2022 (rebuilt `r Sys.Date()`)
+date: Last change 19 September 2022 (rebuilt `r Sys.Date()`)
output:
html_document
vignette: >
@@ -34,7 +34,7 @@ random effects for all degradation parameters.
f_mmkin <- mmkin("DFOP", dmta_ds, error_model = "tc", cores = 7, quiet = TRUE)
f_saem_full <- saem(f_mmkin)
f_saem_full_multi <- multistart(f_saem_full, n = 16, cores = 16)
-parhist(f_saem_full_multi, lpos = "bottomright")
+parhist(f_saem_full_multi)
```
We see that not all variability parameters are identifiable, most problematic
@@ -44,7 +44,7 @@ removing the intersoil variability for this parameter.
```{r}
f_saem_reduced <- update(f_saem_full, covariance.model = diag(c(1, 1, 0, 1)))
f_saem_reduced_multi <- multistart(f_saem_reduced, n = 16, cores = 16)
-parhist(f_saem_reduced_multi, lpos = "bottomright")
+parhist(f_saem_reduced_multi, lpos = "topright")
```
We can also analyse the log-likelihoods obtained in the multiple runs:

Contact - Imprint