From 307e77e5bf81c7422055493cee7f073b57069c6c Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 10 Aug 2022 14:31:16 +0200 Subject: Update docs --- docs/pkgdown.yml | 2 +- docs/reference/Rplot001.png | Bin 18718 -> 1011 bytes docs/reference/summary.saem.mmkin.html | 608 +++++++++++++++++++-------------- man/summary.saem.mmkin.Rd | 7 +- 4 files changed, 354 insertions(+), 263 deletions(-) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index b3090f05..f533f2ae 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -11,7 +11,7 @@ articles: benchmarks: web_only/benchmarks.html compiled_models: web_only/compiled_models.html dimethenamid_2018: web_only/dimethenamid_2018.html -last_built: 2022-08-10T11:14Z +last_built: 2022-08-10T12:30Z urls: reference: https://pkgdown.jrwb.de/mkin/reference article: https://pkgdown.jrwb.de/mkin/articles diff --git a/docs/reference/Rplot001.png b/docs/reference/Rplot001.png index 1ec32c4a..17a35806 100644 Binary files a/docs/reference/Rplot001.png and b/docs/reference/Rplot001.png differ diff --git a/docs/reference/summary.saem.mmkin.html b/docs/reference/summary.saem.mmkin.html index c2f9490e..0ab239cb 100644 --- a/docs/reference/summary.saem.mmkin.html +++ b/docs/reference/summary.saem.mmkin.html @@ -21,7 +21,7 @@ endpoints such as formation fractions and DT50 values. Optionally mkin - 1.1.0 + 1.1.2 @@ -95,59 +95,88 @@ endpoints such as formation fractions and DT50 values. Optionally
-
# S3 method for saem.mmkin
-summary(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...)
-
-# S3 method for summary.saem.mmkin
-print(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...)
+
# S3 method for saem.mmkin
+summary(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...)
+
+# S3 method for summary.saem.mmkin
+print(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...)

Arguments

object

an object of class saem.mmkin

+ +
data

logical, indicating whether the full data should be included in the summary.

+ +
verbose

Should the summary be verbose?

+ +
distimes

logical, indicating whether DT50 and DT90 values should be included.

+ +
...

optional arguments passed to methods like print.

+ +
x

an object of class summary.saem.mmkin

+ +
digits

Number of digits to use for printing

+

Value

-

The summary function returns a list based on the saemix::SaemixObjectobtained in the fit, with at least the following additional components

+ + +

The summary function returns a list based on the saemix::SaemixObject

+ + +

obtained in the fit, with at least the following additional components

saemixversion, mkinversion, Rversion

The saemix, mkin and R versions used

+
date.fit, date.summary

The dates where the fit and the summary were produced

+
diffs

The differential equations used in the degradation model

+
use_of_ff

Was maximum or minimum use made of formation fractions

+
data

The data

+
confint_trans

Transformed parameters as used in the optimisation, with confidence intervals

+
confint_back

Backtransformed parameters, with confidence intervals if available

+
confint_errmod

Error model parameters with confidence intervals

+
ff

The estimated formation fractions derived from the fitted model.

+
distimes

The DT50 and DT90 values for each observed variable.

+
SFORB

If applicable, eigenvalues of SFORB components of the model.

+

The print method is called for its side effect, i.e. printing the summary.

@@ -158,50 +187,110 @@ saemix authors for the parts inherited from saemix.

Examples

-
# Generate five datasets following DFOP-SFO kinetics
-sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
-dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
- m1 = mkinsub("SFO"), quiet = TRUE)
-set.seed(1234)
-k1_in <- rlnorm(5, log(0.1), 0.3)
-k2_in <- rlnorm(5, log(0.02), 0.3)
-g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
-f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
-k_m1_in <- rlnorm(5, log(0.02), 0.3)
-
-pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
-  mkinpredict(dfop_sfo,
-    c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
-    c(parent = 100, m1 = 0),
-    sampling_times)
-}
-
-ds_mean_dfop_sfo <- lapply(1:5, function(i) {
-  mkinpredict(dfop_sfo,
-    c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
-      f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
-    c(parent = 100, m1 = 0),
-    sampling_times)
-})
-names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
-
-ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
-  add_err(ds,
-    sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
-    n = 1)[[1]]
-})
-
-# \dontrun{
-# Evaluate using mmkin and saem
-f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
-  quiet = TRUE, error_model = "tc", cores = 5)
-f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo)
-summary(f_saem_dfop_sfo, data = TRUE)
-#> saemix version used for fitting:      3.0 
-#> mkin version used for pre-fitting:  1.1.0 
-#> R version used for fitting:         4.2.0 
-#> Date of fit:     Wed May 18 20:42:18 2022 
-#> Date of summary: Wed May 18 20:42:18 2022 
+    
# Generate five datasets following DFOP-SFO kinetics
+sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
+dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
+ m1 = mkinsub("SFO"), quiet = TRUE)
+set.seed(1234)
+k1_in <- rlnorm(5, log(0.1), 0.3)
+k2_in <- rlnorm(5, log(0.02), 0.3)
+g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
+f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
+k_m1_in <- rlnorm(5, log(0.02), 0.3)
+
+pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
+  mkinpredict(dfop_sfo,
+    c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
+    c(parent = 100, m1 = 0),
+    sampling_times)
+}
+
+ds_mean_dfop_sfo <- lapply(1:5, function(i) {
+  mkinpredict(dfop_sfo,
+    c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
+      f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
+    c(parent = 100, m1 = 0),
+    sampling_times)
+})
+names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
+
+ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
+  add_err(ds,
+    sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
+    n = 1)[[1]]
+})
+
+# \dontrun{
+# Evaluate using mmkin and saem
+f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
+  quiet = TRUE, error_model = "tc", cores = 5)
+f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo)
+print(f_saem_dfop_sfo)
+#> Kinetic nonlinear mixed-effects model fit by SAEM
+#> Structural model:
+#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
+#>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
+#>            * parent
+#> d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
+#>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
+#>            exp(-k2 * time))) * parent - k_m1 * m1
+#> 
+#> Data:
+#> 171 observations of 2 variable(s) grouped in 5 datasets
+#> 
+#> Likelihood computed by importance sampling
+#>     AIC   BIC logLik
+#>   828.1 822.7 -400.1
+#> 
+#> Fitted parameters:
+#>                     estimate    lower     upper
+#> parent_0           100.74378 97.81291 103.67465
+#> log_k_m1            -4.06168 -4.17104  -3.95231
+#> f_parent_qlogis     -0.92584 -1.31273  -0.53894
+#> log_k1              -2.81914 -3.60206  -2.03623
+#> log_k2              -3.63916 -4.32672  -2.95161
+#> g_qlogis            -0.02927 -1.15247   1.09394
+#> a.1                  0.86164  0.67928   1.04400
+#> b.1                  0.07973  0.06437   0.09509
+#> SD.parent_0          0.73313 -7.46512   8.93137
+#> SD.log_k_m1          0.06488 -0.06041   0.19017
+#> SD.f_parent_qlogis   0.41955  0.15206   0.68705
+#> SD.log_k1            0.81750  0.29140   1.34361
+#> SD.log_k2            0.75265  0.27939   1.22590
+#> SD.g_qlogis          0.34411 -1.70964   2.39786
+illparms(f_saem_dfop_sfo)
+#> [1] "sd(parent_0)" "sd(log_k_m1)" "sd(g_qlogis)"
+f_saem_dfop_sfo_2 <- update(f_saem_dfop_sfo, covariance.model = diag(c(0, 0, 1, 1, 1, 0)))
+illparms(f_saem_dfop_sfo_2)
+#> character(0)
+intervals(f_saem_dfop_sfo_2)
+#> Approximate 95% confidence intervals
+#> 
+#>  Fixed effects:
+#>                      lower         est.        upper
+#> parent_0       97.54844979 100.46239264 103.37633550
+#> k_m1            0.01575805   0.01729111   0.01897331
+#> f_parent_to_m1  0.21014925   0.28626877   0.37680664
+#> k1              0.02651112   0.05601399   0.11834908
+#> k2              0.01326524   0.02649799   0.05293107
+#> g               0.31467778   0.51297098   0.70726363
+#> 
+#>  Random effects:
+#>                         lower      est.     upper
+#> sd(f_parent_qlogis) 0.1658367 0.4471180 0.7283993
+#> sd(log_k1)          0.2768757 0.7929203 1.3089649
+#> sd(log_k2)          0.2693629 0.7566116 1.2438602
+#> 
+#>  
+#>          lower       est.      upper
+#> a.1 0.70273100 0.88750764 1.07228428
+#> b.1 0.06781347 0.08328016 0.09874685
+summary(f_saem_dfop_sfo_2, data = TRUE)
+#> saemix version used for fitting:      3.1 
+#> mkin version used for pre-fitting:  1.1.2 
+#> R version used for fitting:         4.2.1 
+#> Date of fit:     Wed Aug 10 14:31:01 2022 
+#> Date of summary: Wed Aug 10 14:31:01 2022 
 #> 
 #> Equations:
 #> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -216,7 +305,7 @@ saemix authors for the parts inherited from saemix.

#> #> Model predictions using solution type analytical #> -#> Fitted in 12.833 s +#> Fitted in 26.786 s #> Using 300, 100 iterations and 10 chains #> #> Variance model: Two-component variance function @@ -225,7 +314,7 @@ saemix authors for the parts inherited from saemix.

#> parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 #> 101.65645 -4.05368 -0.94311 -2.35943 -4.07006 #> g_qlogis -#> -0.01133 +#> -0.01132 #> #> Fixed degradation parameter values: #> None @@ -234,233 +323,230 @@ saemix authors for the parts inherited from saemix.

#> #> Likelihood computed by importance sampling #> AIC BIC logLik -#> 829.3 823.8 -400.6 +#> 825.6 821.3 -401.8 #> #> Optimised parameters: -#> est. lower upper -#> parent_0 101.26516 98.412 104.1188 -#> log_k_m1 -4.07510 -4.168 -3.9819 -#> f_parent_qlogis -0.94320 -1.350 -0.5364 -#> log_k1 -2.87697 -3.703 -2.0510 -#> log_k2 -3.58133 -4.313 -2.8492 -#> g_qlogis -0.03174 -1.564 1.5008 +#> est. lower upper +#> parent_0 100.4624 97.5484 103.3763 +#> log_k_m1 -4.0576 -4.1504 -3.9647 +#> f_parent_qlogis -0.9136 -1.3240 -0.5031 +#> log_k1 -2.8822 -3.6302 -2.1341 +#> log_k2 -3.6307 -4.3226 -2.9388 +#> g_qlogis 0.0519 -0.7783 0.8821 #> #> Correlation: #> parnt_0 lg_k_m1 f_prnt_ log_k1 log_k2 -#> log_k_m1 -0.4167 -#> f_parent_qlogis -0.2084 0.2383 -#> log_k1 0.1324 -0.1242 -0.0500 -#> log_k2 0.0173 0.0001 -0.0067 0.1137 -#> g_qlogis -0.0849 0.0691 0.0399 -0.3916 -0.3012 +#> log_k_m1 -0.4102 +#> f_parent_qlogis -0.2113 0.2439 +#> log_k1 0.1308 -0.1305 -0.0504 +#> log_k2 -0.0383 0.0592 0.0151 0.0001 +#> g_qlogis -0.0029 -0.0118 0.0131 -0.2547 -0.1942 #> #> Random effects: -#> est. lower upper -#> SD.parent_0 0.16032 -34.0484 34.3690 -#> SD.log_k_m1 0.01463 -0.3605 0.3898 -#> SD.f_parent_qlogis 0.44391 0.1646 0.7232 -#> SD.log_k1 0.84861 0.3044 1.3928 -#> SD.log_k2 0.79185 0.2944 1.2893 -#> SD.g_qlogis 0.34997 -3.0572 3.7572 +#> est. lower upper +#> SD.f_parent_qlogis 0.4471 0.1658 0.7284 +#> SD.log_k1 0.7929 0.2769 1.3090 +#> SD.log_k2 0.7566 0.2694 1.2439 #> #> Variance model: -#> est. lower upper -#> a.1 0.87200 0.69118 1.0528 -#> b.1 0.07963 0.06435 0.0949 +#> est. lower upper +#> a.1 0.88751 0.70273 1.07228 +#> b.1 0.08328 0.06781 0.09875 #> #> Backtransformed parameters: #> est. lower upper -#> parent_0 101.26516 98.41151 104.11881 -#> k_m1 0.01699 0.01548 0.01865 -#> f_parent_to_m1 0.28025 0.20588 0.36902 -#> k1 0.05630 0.02465 0.12861 -#> k2 0.02784 0.01339 0.05789 -#> g 0.49207 0.17303 0.81770 +#> parent_0 100.46239 97.54845 103.37634 +#> k_m1 0.01729 0.01576 0.01897 +#> f_parent_to_m1 0.28627 0.21015 0.37681 +#> k1 0.05601 0.02651 0.11835 +#> k2 0.02650 0.01327 0.05293 +#> g 0.51297 0.31468 0.70726 #> #> Resulting formation fractions: #> ff -#> parent_m1 0.2803 -#> parent_sink 0.7197 +#> parent_m1 0.2863 +#> parent_sink 0.7137 #> #> Estimated disappearance times: #> DT50 DT90 DT50back DT50_k1 DT50_k2 -#> parent 17.28 63.65 19.16 12.31 24.9 -#> m1 40.80 135.52 NA NA NA +#> parent 17.44 65.15 19.61 12.37 26.16 +#> m1 40.09 133.17 NA NA NA #> #> Data: -#> ds name time observed predicted residual std standardized -#> ds 1 parent 0 89.8 1.012e+02 -11.441861 8.1085 -1.411097 -#> ds 1 parent 0 104.1 1.012e+02 2.858139 8.1085 0.352487 -#> ds 1 parent 1 88.7 9.642e+01 -7.717294 7.7267 -0.998787 -#> ds 1 parent 1 95.5 9.642e+01 -0.917294 7.7267 -0.118718 -#> ds 1 parent 3 81.8 8.761e+01 -5.811045 7.0304 -0.826561 -#> ds 1 parent 3 94.5 8.761e+01 6.888955 7.0304 0.979883 -#> ds 1 parent 7 71.5 7.288e+01 -1.380912 5.8683 -0.235315 -#> ds 1 parent 7 70.3 7.288e+01 -2.580912 5.8683 -0.439802 -#> ds 1 parent 14 54.2 5.406e+01 0.139892 4.3920 0.031851 -#> ds 1 parent 14 49.6 5.406e+01 -4.460108 4.3920 -1.015504 -#> ds 1 parent 28 31.5 3.222e+01 -0.722286 2.7099 -0.266540 -#> ds 1 parent 28 28.8 3.222e+01 -3.422286 2.7099 -1.262902 -#> ds 1 parent 60 12.1 1.280e+01 -0.696320 1.3411 -0.519211 -#> ds 1 parent 60 13.6 1.280e+01 0.803680 1.3411 0.599263 -#> ds 1 parent 90 6.2 6.147e+00 0.052772 1.0000 0.052772 -#> ds 1 parent 90 8.3 6.147e+00 2.152772 1.0000 2.152793 -#> ds 1 parent 120 2.2 3.047e+00 -0.847292 0.9051 -0.936096 -#> ds 1 parent 120 2.4 3.047e+00 -0.647292 0.9051 -0.715134 -#> ds 1 m1 1 0.3 1.172e+00 -0.871912 0.8770 -0.994217 -#> ds 1 m1 1 0.2 1.172e+00 -0.971912 0.8770 -1.108244 -#> ds 1 m1 3 2.2 3.253e+00 -1.053335 0.9097 -1.157932 -#> ds 1 m1 3 3.0 3.253e+00 -0.253335 0.9097 -0.278492 -#> ds 1 m1 7 6.5 6.524e+00 -0.024120 1.0150 -0.023763 -#> ds 1 m1 7 5.0 6.524e+00 -1.524120 1.0150 -1.501571 -#> ds 1 m1 14 10.2 1.012e+01 0.076122 1.1875 0.064101 -#> ds 1 m1 14 9.5 1.012e+01 -0.623878 1.1875 -0.525359 -#> ds 1 m1 28 12.2 1.268e+01 -0.478789 1.3340 -0.358908 -#> ds 1 m1 28 13.4 1.268e+01 0.721211 1.3340 0.540631 -#> ds 1 m1 60 11.8 1.085e+01 0.954822 1.2272 0.778023 -#> ds 1 m1 60 13.2 1.085e+01 2.354822 1.2272 1.918794 -#> ds 1 m1 90 6.6 7.751e+00 -1.151363 1.0683 -1.077718 -#> ds 1 m1 90 9.3 7.751e+00 1.548637 1.0683 1.449581 -#> ds 1 m1 120 3.5 5.236e+00 -1.735804 0.9665 -1.795893 -#> ds 1 m1 120 5.4 5.236e+00 0.164196 0.9665 0.169880 -#> ds 2 parent 0 118.0 1.013e+02 16.726081 8.1110 2.062142 -#> ds 2 parent 0 99.8 1.013e+02 -1.473919 8.1110 -0.181718 -#> ds 2 parent 1 90.2 9.591e+01 -5.708953 7.6864 -0.742730 -#> ds 2 parent 1 94.6 9.591e+01 -1.308953 7.6864 -0.170294 -#> ds 2 parent 3 96.1 8.654e+01 9.564450 6.9454 1.377088 -#> ds 2 parent 3 78.4 8.654e+01 -8.135550 6.9454 -1.171355 -#> ds 2 parent 7 77.9 7.206e+01 5.840823 5.8037 1.006405 -#> ds 2 parent 7 77.7 7.206e+01 5.640823 5.8037 0.971944 -#> ds 2 parent 14 56.0 5.562e+01 0.376382 4.5141 0.083379 -#> ds 2 parent 14 54.7 5.562e+01 -0.923618 4.5141 -0.204607 -#> ds 2 parent 28 36.6 3.849e+01 -1.891356 3.1865 -0.593546 -#> ds 2 parent 28 36.8 3.849e+01 -1.691356 3.1865 -0.530782 -#> ds 2 parent 60 22.1 2.105e+01 1.052796 1.8892 0.557274 -#> ds 2 parent 60 24.7 2.105e+01 3.652796 1.8892 1.933527 -#> ds 2 parent 90 12.4 1.249e+01 -0.085726 1.3224 -0.064825 -#> ds 2 parent 90 10.8 1.249e+01 -1.685726 1.3224 -1.274728 -#> ds 2 parent 120 6.8 7.425e+00 -0.625179 1.0535 -0.593407 -#> ds 2 parent 120 7.9 7.425e+00 0.474821 1.0535 0.450690 -#> ds 2 m1 1 1.3 1.420e+00 -0.119671 0.8793 -0.136098 -#> ds 2 m1 3 3.7 3.831e+00 -0.130721 0.9238 -0.141501 -#> ds 2 m1 3 4.7 3.831e+00 0.869279 0.9238 0.940968 -#> ds 2 m1 7 8.1 7.307e+00 0.793062 1.0483 0.756531 -#> ds 2 m1 7 7.9 7.307e+00 0.593062 1.0483 0.565743 -#> ds 2 m1 14 10.1 1.060e+01 -0.500946 1.2136 -0.412765 -#> ds 2 m1 14 10.3 1.060e+01 -0.300946 1.2136 -0.247970 -#> ds 2 m1 28 10.7 1.236e+01 -1.663249 1.3151 -1.264727 -#> ds 2 m1 28 12.2 1.236e+01 -0.163249 1.3151 -0.124134 -#> ds 2 m1 60 10.7 1.063e+01 0.065269 1.2155 0.053697 -#> ds 2 m1 60 12.5 1.063e+01 1.865269 1.2155 1.534560 -#> ds 2 m1 90 9.1 8.134e+00 0.965918 1.0862 0.889243 -#> ds 2 m1 90 7.4 8.134e+00 -0.734082 1.0862 -0.675811 -#> ds 2 m1 120 6.1 5.918e+00 0.181998 0.9912 0.183617 -#> ds 2 m1 120 4.5 5.918e+00 -1.418002 0.9912 -1.430615 -#> ds 3 parent 0 106.2 1.013e+02 4.927395 8.1109 0.607501 -#> ds 3 parent 0 106.9 1.013e+02 5.627395 8.1109 0.693805 -#> ds 3 parent 1 107.4 9.362e+01 13.778324 7.5055 1.835758 -#> ds 3 parent 1 96.1 9.362e+01 2.478324 7.5055 0.330200 -#> ds 3 parent 3 79.4 8.111e+01 -1.714426 6.5174 -0.263054 -#> ds 3 parent 3 82.6 8.111e+01 1.485574 6.5174 0.227940 -#> ds 3 parent 7 63.9 6.406e+01 -0.160919 5.1749 -0.031096 -#> ds 3 parent 7 62.4 6.406e+01 -1.660919 5.1749 -0.320957 -#> ds 3 parent 14 51.0 4.811e+01 2.894697 3.9284 0.736859 -#> ds 3 parent 14 47.1 4.811e+01 -1.005303 3.9284 -0.255905 -#> ds 3 parent 28 36.1 3.433e+01 1.766324 2.8695 0.615541 -#> ds 3 parent 28 36.6 3.433e+01 2.266324 2.8695 0.789785 -#> ds 3 parent 60 20.1 1.973e+01 0.371727 1.7967 0.206897 -#> ds 3 parent 60 19.8 1.973e+01 0.071727 1.7967 0.039922 -#> ds 3 parent 90 11.3 1.194e+01 -0.639567 1.2900 -0.495771 -#> ds 3 parent 90 10.7 1.194e+01 -1.239567 1.2900 -0.960871 -#> ds 3 parent 120 8.2 7.228e+00 0.972496 1.0448 0.930805 -#> ds 3 parent 120 7.3 7.228e+00 0.072496 1.0448 0.069388 -#> ds 3 m1 0 0.8 2.046e-12 0.800000 0.8720 0.917426 -#> ds 3 m1 1 1.8 1.802e+00 -0.002337 0.8837 -0.002644 -#> ds 3 m1 1 2.3 1.802e+00 0.497663 0.8837 0.563136 -#> ds 3 m1 3 4.2 4.662e+00 -0.461759 0.9477 -0.487230 -#> ds 3 m1 3 4.1 4.662e+00 -0.561759 0.9477 -0.592746 -#> ds 3 m1 7 6.8 8.261e+00 -1.460846 1.0923 -1.337436 -#> ds 3 m1 7 10.1 8.261e+00 1.839154 1.0923 1.683785 -#> ds 3 m1 14 11.4 1.088e+01 0.520066 1.2292 0.423096 -#> ds 3 m1 14 12.8 1.088e+01 1.920066 1.2292 1.562058 -#> ds 3 m1 28 11.5 1.143e+01 0.066711 1.2606 0.052919 -#> ds 3 m1 28 10.6 1.143e+01 -0.833289 1.2606 -0.661009 -#> ds 3 m1 60 7.5 9.224e+00 -1.723819 1.1401 -1.511997 -#> ds 3 m1 60 8.6 9.224e+00 -0.623819 1.1401 -0.547165 -#> ds 3 m1 90 7.3 6.951e+00 0.348894 1.0328 0.337804 -#> ds 3 m1 90 8.1 6.951e+00 1.148894 1.0328 1.112374 -#> ds 3 m1 120 5.3 5.028e+00 0.272355 0.9595 0.283849 -#> ds 3 m1 120 3.8 5.028e+00 -1.227645 0.9595 -1.279452 -#> ds 4 parent 0 104.7 1.012e+02 3.450870 8.1091 0.425557 -#> ds 4 parent 0 88.3 1.012e+02 -12.949130 8.1091 -1.596872 -#> ds 4 parent 1 94.2 9.787e+01 -3.670543 7.8417 -0.468083 -#> ds 4 parent 1 94.6 9.787e+01 -3.270543 7.8417 -0.417073 -#> ds 4 parent 3 78.1 9.154e+01 -13.439273 7.3409 -1.830749 -#> ds 4 parent 3 96.5 9.154e+01 4.960727 7.3409 0.675769 -#> ds 4 parent 7 76.2 8.040e+01 -4.195825 6.4607 -0.649438 -#> ds 4 parent 7 77.8 8.040e+01 -2.595825 6.4607 -0.401787 -#> ds 4 parent 14 70.8 6.485e+01 5.950631 5.2368 1.136312 -#> ds 4 parent 14 67.3 6.485e+01 2.450631 5.2368 0.467964 -#> ds 4 parent 28 43.1 4.403e+01 -0.927716 3.6126 -0.256803 -#> ds 4 parent 28 45.1 4.403e+01 1.072284 3.6126 0.296821 -#> ds 4 parent 60 21.3 2.121e+01 0.085295 1.9010 0.044868 -#> ds 4 parent 60 23.5 2.121e+01 2.285295 1.9010 1.202136 -#> ds 4 parent 90 11.8 1.187e+01 -0.069302 1.2859 -0.053892 -#> ds 4 parent 90 12.1 1.187e+01 0.230698 1.2859 0.179402 -#> ds 4 parent 120 7.0 6.896e+00 0.104203 1.0305 0.101121 -#> ds 4 parent 120 6.2 6.896e+00 -0.695797 1.0305 -0.675218 -#> ds 4 m1 0 1.6 4.661e-12 1.600000 0.8720 1.834853 -#> ds 4 m1 1 0.9 6.932e-01 0.206778 0.8737 0.236656 -#> ds 4 m1 3 3.7 1.958e+00 1.742149 0.8858 1.966684 -#> ds 4 m1 3 2.0 1.958e+00 0.042149 0.8858 0.047581 -#> ds 4 m1 7 3.6 4.056e+00 -0.456030 0.9299 -0.490412 -#> ds 4 m1 7 3.8 4.056e+00 -0.256030 0.9299 -0.275333 -#> ds 4 m1 14 7.1 6.624e+00 0.475608 1.0191 0.466682 -#> ds 4 m1 14 6.6 6.624e+00 -0.024392 1.0191 -0.023934 -#> ds 4 m1 28 9.5 9.013e+00 0.487100 1.1293 0.431311 -#> ds 4 m1 28 9.3 9.013e+00 0.287100 1.1293 0.254218 -#> ds 4 m1 60 8.3 8.710e+00 -0.409941 1.1142 -0.367933 -#> ds 4 m1 60 9.0 8.710e+00 0.290059 1.1142 0.260335 -#> ds 4 m1 90 6.6 6.696e+00 -0.095953 1.0221 -0.093880 -#> ds 4 m1 90 7.7 6.696e+00 1.004047 1.0221 0.982349 -#> ds 4 m1 120 3.7 4.803e+00 -1.102994 0.9522 -1.158384 -#> ds 4 m1 120 3.5 4.803e+00 -1.302994 0.9522 -1.368427 -#> ds 5 parent 0 110.4 1.013e+02 9.136362 8.1102 1.126526 -#> ds 5 parent 0 112.1 1.013e+02 10.836362 8.1102 1.336138 -#> ds 5 parent 1 93.5 9.462e+01 -1.119415 7.5844 -0.147594 -#> ds 5 parent 1 91.0 9.462e+01 -3.619415 7.5844 -0.477216 -#> ds 5 parent 3 71.0 8.313e+01 -12.125525 6.6761 -1.816251 -#> ds 5 parent 3 89.7 8.313e+01 6.574475 6.6761 0.984774 -#> ds 5 parent 7 60.4 6.580e+01 -5.399792 5.3114 -1.016637 -#> ds 5 parent 7 59.1 6.580e+01 -6.699792 5.3114 -1.261392 -#> ds 5 parent 14 56.5 4.728e+01 9.217968 3.8645 2.385273 -#> ds 5 parent 14 47.0 4.728e+01 -0.282032 3.8645 -0.072979 -#> ds 5 parent 28 30.2 3.077e+01 -0.574817 2.6010 -0.220999 -#> ds 5 parent 28 23.9 3.077e+01 -6.874817 2.6010 -2.643147 -#> ds 5 parent 60 17.0 1.796e+01 -0.957722 1.6748 -0.571838 -#> ds 5 parent 60 18.7 1.796e+01 0.742278 1.6748 0.443201 -#> ds 5 parent 90 11.3 1.186e+01 -0.560382 1.2854 -0.435957 -#> ds 5 parent 90 11.9 1.186e+01 0.039618 1.2854 0.030821 -#> ds 5 parent 120 9.0 7.875e+00 1.125373 1.0740 1.047800 -#> ds 5 parent 120 8.1 7.875e+00 0.225373 1.0740 0.209838 -#> ds 5 m1 0 0.7 7.105e-15 0.700000 0.8720 0.802748 -#> ds 5 m1 1 3.0 3.133e+00 -0.132776 0.9070 -0.146393 -#> ds 5 m1 1 2.6 3.133e+00 -0.532776 0.9070 -0.587416 -#> ds 5 m1 3 5.1 8.401e+00 -3.300544 1.0990 -3.003203 -#> ds 5 m1 3 7.5 8.401e+00 -0.900544 1.0990 -0.819415 -#> ds 5 m1 7 16.5 1.580e+01 0.697935 1.5309 0.455905 -#> ds 5 m1 7 19.0 1.580e+01 3.197935 1.5309 2.088955 -#> ds 5 m1 14 22.9 2.230e+01 0.604922 1.9779 0.305846 -#> ds 5 m1 14 23.2 2.230e+01 0.904922 1.9779 0.457525 -#> ds 5 m1 28 22.2 2.446e+01 -2.255019 2.1336 -1.056917 -#> ds 5 m1 28 24.4 2.446e+01 -0.055019 2.1336 -0.025787 -#> ds 5 m1 60 15.5 1.874e+01 -3.242459 1.7285 -1.875916 -#> ds 5 m1 60 19.8 1.874e+01 1.057541 1.7285 0.611838 -#> ds 5 m1 90 14.9 1.352e+01 1.376176 1.3856 0.993173 -#> ds 5 m1 90 14.2 1.352e+01 0.676176 1.3856 0.487989 -#> ds 5 m1 120 10.9 9.609e+00 1.291013 1.1601 1.112858 -#> ds 5 m1 120 10.4 9.609e+00 0.791013 1.1601 0.681856 -# } - +#> ds name time observed predicted residual std standardized +#> ds 1 parent 0 89.8 1.005e+02 -10.662393 8.4135 -1.267301 +#> ds 1 parent 0 104.1 1.005e+02 3.637607 8.4135 0.432355 +#> ds 1 parent 1 88.7 9.576e+01 -7.063498 8.0244 -0.880249 +#> ds 1 parent 1 95.5 9.576e+01 -0.263498 8.0244 -0.032837 +#> ds 1 parent 3 81.8 8.717e+01 -5.369491 7.3135 -0.734185 +#> ds 1 parent 3 94.5 8.717e+01 7.330509 7.3135 1.002320 +#> ds 1 parent 7 71.5 7.274e+01 -1.238672 6.1224 -0.202319 +#> ds 1 parent 7 70.3 7.274e+01 -2.438672 6.1224 -0.398322 +#> ds 1 parent 14 54.2 5.418e+01 0.022691 4.5984 0.004935 +#> ds 1 parent 14 49.6 5.418e+01 -4.577309 4.5984 -0.995423 +#> ds 1 parent 28 31.5 3.241e+01 -0.914545 2.8416 -0.321837 +#> ds 1 parent 28 28.8 3.241e+01 -3.614545 2.8416 -1.271993 +#> ds 1 parent 60 12.1 1.283e+01 -0.730904 1.3891 -0.526186 +#> ds 1 parent 60 13.6 1.283e+01 0.769096 1.3891 0.553681 +#> ds 1 parent 90 6.2 6.128e+00 0.071981 1.0238 0.070309 +#> ds 1 parent 90 8.3 6.128e+00 2.171981 1.0238 2.121538 +#> ds 1 parent 120 2.2 3.022e+00 -0.822164 0.9225 -0.891230 +#> ds 1 parent 120 2.4 3.022e+00 -0.622164 0.9225 -0.674429 +#> ds 1 m1 1 0.3 1.163e+00 -0.863423 0.8928 -0.967116 +#> ds 1 m1 1 0.2 1.163e+00 -0.963423 0.8928 -1.079126 +#> ds 1 m1 3 2.2 3.233e+00 -1.032930 0.9274 -1.113734 +#> ds 1 m1 3 3.0 3.233e+00 -0.232930 0.9274 -0.251152 +#> ds 1 m1 7 6.5 6.495e+00 0.005314 1.0393 0.005113 +#> ds 1 m1 7 5.0 6.495e+00 -1.494686 1.0393 -1.438116 +#> ds 1 m1 14 10.2 1.010e+01 0.096372 1.2230 0.078801 +#> ds 1 m1 14 9.5 1.010e+01 -0.603628 1.2230 -0.493572 +#> ds 1 m1 28 12.2 1.269e+01 -0.492073 1.3802 -0.356526 +#> ds 1 m1 28 13.4 1.269e+01 0.707927 1.3802 0.512922 +#> ds 1 m1 60 11.8 1.086e+01 0.944360 1.2669 0.745420 +#> ds 1 m1 60 13.2 1.086e+01 2.344360 1.2669 1.850494 +#> ds 1 m1 90 6.6 7.723e+00 -1.123088 1.0961 -1.024658 +#> ds 1 m1 90 9.3 7.723e+00 1.576912 1.0961 1.438708 +#> ds 1 m1 120 3.5 5.184e+00 -1.683936 0.9869 -1.706219 +#> ds 1 m1 120 5.4 5.184e+00 0.216064 0.9869 0.218923 +#> ds 2 parent 0 118.0 1.005e+02 17.537607 8.4135 2.084469 +#> ds 2 parent 0 99.8 1.005e+02 -0.662393 8.4135 -0.078730 +#> ds 2 parent 1 90.2 9.566e+01 -5.456414 8.0156 -0.680727 +#> ds 2 parent 1 94.6 9.566e+01 -1.056414 8.0156 -0.131795 +#> ds 2 parent 3 96.1 8.702e+01 9.082833 7.3009 1.244062 +#> ds 2 parent 3 78.4 8.702e+01 -8.617167 7.3009 -1.180281 +#> ds 2 parent 7 77.9 7.298e+01 4.919834 6.1423 0.800981 +#> ds 2 parent 7 77.7 7.298e+01 4.719834 6.1423 0.768420 +#> ds 2 parent 14 56.0 5.588e+01 0.124003 4.7372 0.026176 +#> ds 2 parent 14 54.7 5.588e+01 -1.175997 4.7372 -0.248245 +#> ds 2 parent 28 36.6 3.719e+01 -0.587869 3.2217 -0.182474 +#> ds 2 parent 28 36.8 3.719e+01 -0.387869 3.2217 -0.120394 +#> ds 2 parent 60 22.1 2.013e+01 1.973728 1.8966 1.040673 +#> ds 2 parent 60 24.7 2.013e+01 4.573728 1.8966 2.411556 +#> ds 2 parent 90 12.4 1.259e+01 -0.185933 1.3734 -0.135379 +#> ds 2 parent 90 10.8 1.259e+01 -1.785933 1.3734 -1.300347 +#> ds 2 parent 120 6.8 7.981e+00 -1.180542 1.1088 -1.064723 +#> ds 2 parent 120 7.9 7.981e+00 -0.080542 1.1088 -0.072640 +#> ds 2 m1 1 1.3 1.306e+00 -0.006246 0.8941 -0.006986 +#> ds 2 m1 3 3.7 3.589e+00 0.110879 0.9365 0.118399 +#> ds 2 m1 3 4.7 3.589e+00 1.110879 0.9365 1.186217 +#> ds 2 m1 7 8.1 7.062e+00 1.038045 1.0647 0.974978 +#> ds 2 m1 7 7.9 7.062e+00 0.838045 1.0647 0.787129 +#> ds 2 m1 14 10.1 1.065e+01 -0.553713 1.2549 -0.441227 +#> ds 2 m1 14 10.3 1.065e+01 -0.353713 1.2549 -0.281857 +#> ds 2 m1 28 10.7 1.284e+01 -2.144854 1.3900 -1.543111 +#> ds 2 m1 28 12.2 1.284e+01 -0.644854 1.3900 -0.463939 +#> ds 2 m1 60 10.7 1.082e+01 -0.115278 1.2645 -0.091165 +#> ds 2 m1 60 12.5 1.082e+01 1.684722 1.2645 1.332337 +#> ds 2 m1 90 9.1 8.014e+00 1.085607 1.1105 0.977610 +#> ds 2 m1 90 7.4 8.014e+00 -0.614393 1.1105 -0.553272 +#> ds 2 m1 120 6.1 5.736e+00 0.363593 1.0079 0.360737 +#> ds 2 m1 120 4.5 5.736e+00 -1.236407 1.0079 -1.226697 +#> ds 3 parent 0 106.2 1.005e+02 5.737607 8.4135 0.681955 +#> ds 3 parent 0 106.9 1.005e+02 6.437607 8.4135 0.765155 +#> ds 3 parent 1 107.4 9.343e+01 13.972212 7.8311 1.784188 +#> ds 3 parent 1 96.1 9.343e+01 2.672212 7.8311 0.341229 +#> ds 3 parent 3 79.4 8.160e+01 -2.196297 6.8531 -0.320484 +#> ds 3 parent 3 82.6 8.160e+01 1.003703 6.8531 0.146460 +#> ds 3 parent 7 63.9 6.464e+01 -0.737220 5.4557 -0.135129 +#> ds 3 parent 7 62.4 6.464e+01 -2.237220 5.4557 -0.410072 +#> ds 3 parent 14 51.0 4.772e+01 3.278433 4.0722 0.805086 +#> ds 3 parent 14 47.1 4.772e+01 -0.621567 4.0722 -0.152638 +#> ds 3 parent 28 36.1 3.303e+01 3.070676 2.8903 1.062400 +#> ds 3 parent 28 36.6 3.303e+01 3.570676 2.8903 1.235391 +#> ds 3 parent 60 20.1 1.929e+01 0.808039 1.8355 0.440235 +#> ds 3 parent 60 19.8 1.929e+01 0.508039 1.8355 0.276789 +#> ds 3 parent 90 11.3 1.209e+01 -0.794443 1.3425 -0.591785 +#> ds 3 parent 90 10.7 1.209e+01 -1.394443 1.3425 -1.038728 +#> ds 3 parent 120 8.2 7.590e+00 0.610002 1.0896 0.559843 +#> ds 3 parent 120 7.3 7.590e+00 -0.289998 1.0896 -0.266152 +#> ds 3 m1 0 0.8 -4.263e-14 0.800000 0.8875 0.901401 +#> ds 3 m1 1 1.8 1.692e+00 0.107665 0.8986 0.119811 +#> ds 3 m1 1 2.3 1.692e+00 0.607665 0.8986 0.676214 +#> ds 3 m1 3 4.2 4.455e+00 -0.255347 0.9619 -0.265449 +#> ds 3 m1 3 4.1 4.455e+00 -0.355347 0.9619 -0.369404 +#> ds 3 m1 7 6.8 8.124e+00 -1.324338 1.1160 -1.186685 +#> ds 3 m1 7 10.1 8.124e+00 1.975662 1.1160 1.770309 +#> ds 3 m1 14 11.4 1.104e+01 0.361860 1.2778 0.283196 +#> ds 3 m1 14 12.8 1.104e+01 1.761860 1.2778 1.378852 +#> ds 3 m1 28 11.5 1.177e+01 -0.272554 1.3225 -0.206097 +#> ds 3 m1 28 10.6 1.177e+01 -1.172554 1.3225 -0.886648 +#> ds 3 m1 60 7.5 9.242e+00 -1.741667 1.1747 -1.482591 +#> ds 3 m1 60 8.6 9.242e+00 -0.641667 1.1747 -0.546218 +#> ds 3 m1 90 7.3 6.837e+00 0.463318 1.0544 0.439398 +#> ds 3 m1 90 8.1 6.837e+00 1.263318 1.0544 1.198095 +#> ds 3 m1 120 5.3 4.906e+00 0.394322 0.9770 0.403595 +#> ds 3 m1 120 3.8 4.906e+00 -1.105678 0.9770 -1.131677 +#> ds 4 parent 0 104.7 1.005e+02 4.237607 8.4135 0.503670 +#> ds 4 parent 0 88.3 1.005e+02 -12.162393 8.4135 -1.445587 +#> ds 4 parent 1 94.2 9.723e+01 -3.029220 8.1458 -0.371877 +#> ds 4 parent 1 94.6 9.723e+01 -2.629220 8.1458 -0.322772 +#> ds 4 parent 3 78.1 9.114e+01 -13.041804 7.6420 -1.706592 +#> ds 4 parent 3 96.5 9.114e+01 5.358196 7.6420 0.701150 +#> ds 4 parent 7 76.2 8.033e+01 -4.133084 6.7488 -0.612421 +#> ds 4 parent 7 77.8 8.033e+01 -2.533084 6.7488 -0.375340 +#> ds 4 parent 14 70.8 6.504e+01 5.757987 5.4889 1.049017 +#> ds 4 parent 14 67.3 6.504e+01 2.257987 5.4889 0.411371 +#> ds 4 parent 28 43.1 4.418e+01 -1.080806 3.7849 -0.285557 +#> ds 4 parent 28 45.1 4.418e+01 0.919194 3.7849 0.242858 +#> ds 4 parent 60 21.3 2.110e+01 0.200596 1.9686 0.101899 +#> ds 4 parent 60 23.5 2.110e+01 2.400596 1.9686 1.219459 +#> ds 4 parent 90 11.8 1.183e+01 -0.034206 1.3263 -0.025791 +#> ds 4 parent 90 12.1 1.183e+01 0.265794 1.3263 0.200408 +#> ds 4 parent 120 7.0 6.985e+00 0.014647 1.0612 0.013803 +#> ds 4 parent 120 6.2 6.985e+00 -0.785353 1.0612 -0.740078 +#> ds 4 m1 0 1.6 -1.705e-13 1.600000 0.8875 1.802801 +#> ds 4 m1 1 0.9 6.803e-01 0.219655 0.8893 0.246994 +#> ds 4 m1 3 3.7 1.927e+00 1.773027 0.9019 1.965880 +#> ds 4 m1 3 2.0 1.927e+00 0.073027 0.9019 0.080970 +#> ds 4 m1 7 3.6 4.013e+00 -0.412926 0.9483 -0.435417 +#> ds 4 m1 7 3.8 4.013e+00 -0.212926 0.9483 -0.224523 +#> ds 4 m1 14 7.1 6.604e+00 0.495843 1.0441 0.474896 +#> ds 4 m1 14 6.6 6.604e+00 -0.004157 1.0441 -0.003981 +#> ds 4 m1 28 9.5 9.077e+00 0.422700 1.1658 0.362576 +#> ds 4 m1 28 9.3 9.077e+00 0.222700 1.1658 0.191024 +#> ds 4 m1 60 8.3 8.818e+00 -0.518498 1.1520 -0.450099 +#> ds 4 m1 60 9.0 8.818e+00 0.181502 1.1520 0.157559 +#> ds 4 m1 90 6.6 6.738e+00 -0.137785 1.0500 -0.131222 +#> ds 4 m1 90 7.7 6.738e+00 0.962215 1.0500 0.916383 +#> ds 4 m1 120 3.7 4.794e+00 -1.093754 0.9732 -1.123914 +#> ds 4 m1 120 3.5 4.794e+00 -1.293754 0.9732 -1.329429 +#> ds 5 parent 0 110.4 1.005e+02 9.937607 8.4135 1.181155 +#> ds 5 parent 0 112.1 1.005e+02 11.637607 8.4135 1.383212 +#> ds 5 parent 1 93.5 9.372e+01 -0.215694 7.8550 -0.027460 +#> ds 5 parent 1 91.0 9.372e+01 -2.715694 7.8550 -0.345730 +#> ds 5 parent 3 71.0 8.226e+01 -11.257156 6.9076 -1.629667 +#> ds 5 parent 3 89.7 8.226e+01 7.442844 6.9076 1.077480 +#> ds 5 parent 7 60.4 6.553e+01 -5.128464 5.5289 -0.927571 +#> ds 5 parent 7 59.1 6.553e+01 -6.428464 5.5289 -1.162699 +#> ds 5 parent 14 56.5 4.835e+01 8.146351 4.1235 1.975572 +#> ds 5 parent 14 47.0 4.835e+01 -1.353649 4.1235 -0.328273 +#> ds 5 parent 28 30.2 3.300e+01 -2.803303 2.8883 -0.970586 +#> ds 5 parent 28 23.9 3.300e+01 -9.103303 2.8883 -3.151832 +#> ds 5 parent 60 17.0 1.891e+01 -1.905909 1.8074 -1.054506 +#> ds 5 parent 60 18.7 1.891e+01 -0.205909 1.8074 -0.113926 +#> ds 5 parent 90 11.3 1.172e+01 -0.423434 1.3194 -0.320923 +#> ds 5 parent 90 11.9 1.172e+01 0.176566 1.3194 0.133820 +#> ds 5 parent 120 9.0 7.281e+00 1.719138 1.0749 1.599402 +#> ds 5 parent 120 8.1 7.281e+00 0.819138 1.0749 0.762086 +#> ds 5 m1 0 0.7 -2.842e-13 0.700000 0.8875 0.788726 +#> ds 5 m1 1 3.0 3.252e+00 -0.252227 0.9279 -0.271821 +#> ds 5 m1 1 2.6 3.252e+00 -0.652227 0.9279 -0.702895 +#> ds 5 m1 3 5.1 8.615e+00 -3.515326 1.1413 -3.080237 +#> ds 5 m1 3 7.5 8.615e+00 -1.115326 1.1413 -0.977283 +#> ds 5 m1 7 16.5 1.588e+01 0.619041 1.5928 0.388661 +#> ds 5 m1 7 19.0 1.588e+01 3.119041 1.5928 1.958272 +#> ds 5 m1 14 22.9 2.189e+01 1.014705 2.0272 0.500543 +#> ds 5 m1 14 23.2 2.189e+01 1.314705 2.0272 0.648529 +#> ds 5 m1 28 22.2 2.369e+01 -1.487604 2.1632 -0.687701 +#> ds 5 m1 28 24.4 2.369e+01 0.712396 2.1632 0.329332 +#> ds 5 m1 60 15.5 1.869e+01 -3.193942 1.7920 -1.782295 +#> ds 5 m1 60 19.8 1.869e+01 1.106058 1.7920 0.617206 +#> ds 5 m1 90 14.9 1.380e+01 1.103454 1.4518 0.760041 +#> ds 5 m1 90 14.2 1.380e+01 0.403454 1.4518 0.277892 +#> ds 5 m1 120 10.9 9.864e+00 1.035963 1.2093 0.856637 +#> ds 5 m1 120 10.4 9.864e+00 0.535963 1.2093 0.443187 +# } +
@@ -475,7 +561,7 @@ saemix authors for the parts inherited from saemix.

-

Site built with pkgdown 2.0.3.

+

Site built with pkgdown 2.0.6.

diff --git a/man/summary.saem.mmkin.Rd b/man/summary.saem.mmkin.Rd index 67cb3cbb..fb099899 100644 --- a/man/summary.saem.mmkin.Rd +++ b/man/summary.saem.mmkin.Rd @@ -90,7 +90,12 @@ ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) { f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo, quiet = TRUE, error_model = "tc", cores = 5) f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo) -summary(f_saem_dfop_sfo, data = TRUE) +print(f_saem_dfop_sfo) +illparms(f_saem_dfop_sfo) +f_saem_dfop_sfo_2 <- update(f_saem_dfop_sfo, covariance.model = diag(c(0, 0, 1, 1, 1, 0))) +illparms(f_saem_dfop_sfo_2) +intervals(f_saem_dfop_sfo_2) +summary(f_saem_dfop_sfo_2, data = TRUE) } } -- cgit v1.2.1