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authorJohannes Ranke <jranke@uni-bremen.de>2022-11-14 20:03:42 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2022-11-14 20:03:42 +0100
commit21ad91256dc29423bd905de5c298fd23862b1f3b (patch)
tree225e2f69ed75b96e5528bcf7b8f25eb3864b75da
parent0db7df4bf632a013099b17d5e817a7dc7146c394 (diff)
Automatic starting parameters for saem.mmkin
For the case of mkin transformations. This gives faster convergence, and appears to avoid problems with numeric ODE solutions
-rw-r--r--GNUmakefile2
-rw-r--r--NEWS.md2
-rw-r--r--R/saem.R29
-rw-r--r--log/check.log4
-rw-r--r--log/test.log32
-rw-r--r--man/saem.Rd16
-rw-r--r--tests/testthat/_snaps/multistart/llhist-for-biphasic-saemix-fit.svg41
-rw-r--r--tests/testthat/_snaps/multistart/parplot-for-biphasic-saemix-fit.svg242
-rw-r--r--tests/testthat/_snaps/plot/mixed-model-fit-for-saem-object-with-mkin-transformations.svg2332
-rw-r--r--tests/testthat/anova_sfo_saem.txt2
-rw-r--r--tests/testthat/print_dfop_saemix_1.txt16
-rw-r--r--tests/testthat/summary_hfit_sfo_tc.txt6
-rw-r--r--tests/testthat/test_multistart.R5
-rw-r--r--tests/testthat/test_saemix_parent.R40
14 files changed, 1407 insertions, 1362 deletions
diff --git a/GNUmakefile b/GNUmakefile
index 114f7eef..6e75d666 100644
--- a/GNUmakefile
+++ b/GNUmakefile
@@ -103,7 +103,7 @@ vignettes/%.html: vignettes/mkin_vignettes.css vignettes/references.bib vignette
vignettes: vignettes/mkin.html vignettes/FOCUS_D.html vignettes/FOCUS_L.html vignettes/twa.html
vignettes/web_only/%.html: vignettes/references.bib vignettes/web_only/%.rmd
- "$(RBIN)/Rscript" -e "tools::buildVignette(file = 'vignettes/web_only/$*.rmd', dir = 'vignettes/web_only', keep='mkin_benchmarks.rda')"
+ "$(RBIN)/Rscript" -e "tools::buildVignette(file = 'vignettes/web_only/$*.rmd', dir = 'vignettes/web_only', keep=c('mkin_benchmarks.rda', 'saem_benchmarks.rda'))"
articles: vignettes/web_only/FOCUS_Z.html vignettes/web_only/compiled_models.html vignettes/web_only/benchmarks.html vignettes/web_only/dimethenamid_2018.html vignettes/web_only/multistart.html
diff --git a/NEWS.md b/NEWS.md
index ebd9a9f5..846c7c50 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -10,6 +10,8 @@
- 'R/saem.R': 'logLik', 'update' and 'anova' methods for 'saem.mmkin' objects.
+- 'R/saem.R': Automatic estimation of start parameters for random effects for the case of mkin transformations, nicely improving convergence and reducing problems with iterative ODE solutions.
+
- 'R/status.R': New generic to show status information for fit array objects with methods for 'mmkin', 'mhmkin' and 'multistart' objects.
- 'R/summary.mmkin.R': Summary method for mmkin objects.
diff --git a/R/saem.R b/R/saem.R
index 87718603..e980ed1f 100644
--- a/R/saem.R
+++ b/R/saem.R
@@ -37,14 +37,22 @@ utils::globalVariables(c("predicted", "std"))
#' @param no_random_effect Character vector of degradation parameters for
#' which there should be no variability over the groups. Only used
#' if the covariance model is not explicitly specified.
-#' @param covariance.model Will be passed to [saemix::SaemixModel()]. Per
+#' @param covariance.model Will be passed to [saemix::saemixModel()]. Per
#' default, uncorrelated random effects are specified for all degradation
#' parameters.
+#' @param omega.init Will be passed to [saemix::saemixModel()]. If using
+#' mkin transformations and the default covariance model with optionally
+#' excluded random effects, the variances of the degradation parameters
+#' are estimated using [mean_degparms], with testing of untransformed
+#' log parameters for significant difference from zero. If not using
+#' mkin transformations or a custom covariance model, the default
+#' initialisation of [saemix::saemixModel] is used for omega.init.
#' @param covariates A data frame with covariate data for use in
#' 'covariate_models', with dataset names as row names.
#' @param covariate_models A list containing linear model formulas with one explanatory
#' variable, i.e. of the type 'parameter ~ covariate'. Covariates must be available
#' in the 'covariates' data frame.
+#' @param error.init Will be passed to [saemix::saemixModel()].
#' @param quiet Should we suppress the messages saemix prints at the beginning
#' and the end of the optimisation process?
#' @param nbiter.saemix Convenience option to increase the number of
@@ -136,9 +144,11 @@ saem.mmkin <- function(object,
conf.level = 0.6,
solution_type = "auto",
covariance.model = "auto",
+ omega.init = "auto",
covariates = NULL,
covariate_models = NULL,
no_random_effect = NULL,
+ error.init = c(3, 0.1),
nbiter.saemix = c(300, 100),
control = list(displayProgress = FALSE, print = FALSE,
nbiter.saemix = nbiter.saemix,
@@ -154,8 +164,10 @@ saem.mmkin <- function(object,
solution_type = solution_type,
transformations = transformations,
covariance.model = covariance.model,
+ omega.init = omega.init,
covariates = covariates,
covariate_models = covariate_models,
+ error.init = error.init,
no_random_effect = no_random_effect,
...)
d_saemix <- saemix_data(object, covariates = covariates, verbose = verbose)
@@ -283,7 +295,9 @@ saemix_model <- function(object, solution_type = "auto",
transformations = c("mkin", "saemix"), error_model = "auto",
degparms_start = numeric(),
covariance.model = "auto", no_random_effect = NULL,
+ omega.init = "auto",
covariates = NULL, covariate_models = NULL,
+ error.init = numeric(),
test_log_parms = FALSE, conf.level = 0.6, verbose = FALSE, ...)
{
if (nrow(object) > 1) stop("Only row objects allowed")
@@ -637,6 +651,18 @@ saemix_model <- function(object, solution_type = "auto",
covariance.model = diag(covariance_diagonal)
}
+ if (omega.init[1] == "auto") {
+ if (transformations == "mkin") {
+ degparms_eta_ini <- as.numeric( # remove names
+ mean_degparms(object,
+ random = TRUE, test_log_parms = TRUE)$eta)
+
+ omega.init <- 2 * diag(degparms_eta_ini^2)
+ } else {
+ omega.init <- matrix(nrow = 0, ncol = 0)
+ }
+ }
+
if (is.null(covariate_models)) {
covariate.model <- matrix(nrow = 0, ncol = 0) # default in saemixModel()
} else {
@@ -680,6 +706,7 @@ saemix_model <- function(object, solution_type = "auto",
verbose = verbose,
covariance.model = covariance.model,
covariate.model = covariate.model,
+ omega.init = omega.init,
...
)
attr(res, "mean_dp_start") <- degparms_optim
diff --git a/log/check.log b/log/check.log
index d8225158..3fea2ec6 100644
--- a/log/check.log
+++ b/log/check.log
@@ -57,12 +57,12 @@ Maintainer: ‘Johannes Ranke <johannes.ranke@jrwb.de>’
* checking data for ASCII and uncompressed saves ... OK
* checking installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
-* checking examples ... [36s/46s] OK
+* checking examples ... [15s/15s] OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ... SKIPPED
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
-* checking re-building of vignette outputs ... [26s/41s] OK
+* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* checking HTML version of manual ... OK
* checking for non-standard things in the check directory ... OK
diff --git a/log/test.log b/log/test.log
index 874d6e24..f20a7f18 100644
--- a/log/test.log
+++ b/log/test.log
@@ -1,45 +1,45 @@
ℹ Testing mkin
✔ | F W S OK | Context
✔ | 5 | AIC calculation
-✔ | 5 | Analytical solutions for coupled models [3.3s]
+✔ | 5 | Analytical solutions for coupled models [3.2s]
✔ | 5 | Calculation of Akaike weights
✔ | 3 | Export dataset for reading into CAKE
✔ | 12 | Confidence intervals and p-values [1.0s]
-✔ | 1 12 | Dimethenamid data from 2018 [31.5s]
+✔ | 1 12 | Dimethenamid data from 2018 [32.1s]
────────────────────────────────────────────────────────────────────────────────
-Skip (test_dmta.R:98:3): Different backends get consistent results for SFO-SFO3+, dimethenamid data
+Skip ('test_dmta.R:98'): Different backends get consistent results for SFO-SFO3+, dimethenamid data
Reason: Fitting this ODE model with saemix takes about 15 minutes on my system
────────────────────────────────────────────────────────────────────────────────
-✔ | 14 | Error model fitting [5.0s]
+✔ | 14 | Error model fitting [4.9s]
✔ | 5 | Time step normalisation
✔ | 4 | Calculation of FOCUS chi2 error levels [0.6s]
✔ | 14 | Results for FOCUS D established in expertise for UBA (Ranke 2014) [0.8s]
-✔ | 4 | Test fitting the decline of metabolites from their maximum [0.4s]
+✔ | 4 | Test fitting the decline of metabolites from their maximum [0.3s]
✔ | 1 | Fitting the logistic model [0.2s]
✔ | 10 | Batch fitting and diagnosing hierarchical kinetic models [24.0s]
✔ | 1 12 | Nonlinear mixed-effects models [0.3s]
────────────────────────────────────────────────────────────────────────────────
-Skip (test_mixed.R:74:3): saemix results are reproducible for biphasic fits
+Skip ('test_mixed.R:74'): saemix results are reproducible for biphasic fits
Reason: Fitting with saemix takes around 10 minutes when using deSolve
────────────────────────────────────────────────────────────────────────────────
✔ | 3 | Test dataset classes mkinds and mkindsg
✔ | 10 | Special cases of mkinfit calls [0.5s]
✔ | 3 | mkinfit features [0.7s]
✔ | 8 | mkinmod model generation and printing [0.2s]
-✔ | 3 | Model predictions with mkinpredict [0.3s]
-✔ | 7 | Multistart method for saem.mmkin models [36.3s]
-✔ | 16 | Evaluations according to 2015 NAFTA guidance [2.4s]
-✔ | 9 | Nonlinear mixed-effects models with nlme [8.8s]
-✔ | 16 | Plotting [10.1s]
+✔ | 3 | Model predictions with mkinpredict [0.4s]
+✔ | 7 | Multistart method for saem.mmkin models [36.7s]
+✔ | 16 | Evaluations according to 2015 NAFTA guidance [2.3s]
+✔ | 9 | Nonlinear mixed-effects models with nlme [8.5s]
+✔ | 16 | Plotting [9.8s]
✔ | 4 | Residuals extracted from mkinfit models
-✔ | 1 37 | saemix parent models [71.5s]
+✔ | 1 36 | saemix parent models [66.4s]
────────────────────────────────────────────────────────────────────────────────
-Skip (test_saemix_parent.R:153:3): We can also use mkin solution methods for saem
+Skip ('test_saemix_parent.R:143'): We can also use mkin solution methods for saem
Reason: This still takes almost 2.5 minutes although we do not solve ODEs
────────────────────────────────────────────────────────────────────────────────
✔ | 2 | Complex test case from Schaefer et al. (2007) Piacenza paper [1.4s]
✔ | 11 | Processing of residue series
-✔ | 10 | Fitting the SFORB model [3.8s]
+✔ | 10 | Fitting the SFORB model [3.7s]
✔ | 1 | Summaries of old mkinfit objects
✔ | 5 | Summary [0.2s]
✔ | 4 | Results for synthetic data established in expertise for UBA (Ranke 2014) [2.2s]
@@ -47,11 +47,11 @@ Reason: This still takes almost 2.5 minutes although we do not solve ODEs
✔ | 4 | Calculation of maximum time weighted average concentrations (TWAs) [2.2s]
══ Results ═════════════════════════════════════════════════════════════════════
-Duration: 216.0 s
+Duration: 211.1 s
── Skipped tests ──────────────────────────────────────────────────────────────
• Fitting this ODE model with saemix takes about 15 minutes on my system (1)
• Fitting with saemix takes around 10 minutes when using deSolve (1)
• This still takes almost 2.5 minutes although we do not solve ODEs (1)
-[ FAIL 0 | WARN 0 | SKIP 3 | PASS 268 ]
+[ FAIL 0 | WARN 0 | SKIP 3 | PASS 267 ]
diff --git a/man/saem.Rd b/man/saem.Rd
index 3dc8001a..11463351 100644
--- a/man/saem.Rd
+++ b/man/saem.Rd
@@ -20,9 +20,11 @@ saem(object, ...)
conf.level = 0.6,
solution_type = "auto",
covariance.model = "auto",
+ omega.init = "auto",
covariates = NULL,
covariate_models = NULL,
no_random_effect = NULL,
+ error.init = c(3, 0.1),
nbiter.saemix = c(300, 100),
control = list(displayProgress = FALSE, print = FALSE, nbiter.saemix = nbiter.saemix,
save = FALSE, save.graphs = FALSE),
@@ -41,8 +43,10 @@ saemix_model(
degparms_start = numeric(),
covariance.model = "auto",
no_random_effect = NULL,
+ omega.init = "auto",
covariates = NULL,
covariate_models = NULL,
+ error.init = numeric(),
test_log_parms = FALSE,
conf.level = 0.6,
verbose = FALSE,
@@ -81,10 +85,18 @@ for parameter that are tested if requested by 'test_log_parms'.}
\item{solution_type}{Possibility to specify the solution type in case the
automatic choice is not desired}
-\item{covariance.model}{Will be passed to \code{\link[saemix:SaemixModel-class]{saemix::SaemixModel()}}. Per
+\item{covariance.model}{Will be passed to \code{\link[saemix:saemixModel]{saemix::saemixModel()}}. Per
default, uncorrelated random effects are specified for all degradation
parameters.}
+\item{omega.init}{Will be passed to \code{\link[saemix:saemixModel]{saemix::saemixModel()}}. If using
+mkin transformations and the default covariance model with optionally
+excluded random effects, the variances of the degradation parameters
+are estimated using \link{mean_degparms}, with testing of untransformed
+log parameters for significant difference from zero. If not using
+mkin transformations or a custom covariance model, the default
+initialisation of \link[saemix:saemixModel]{saemix::saemixModel} is used for omega.init.}
+
\item{covariates}{A data frame with covariate data for use in
'covariate_models', with dataset names as row names.}
@@ -96,6 +108,8 @@ in the 'covariates' data frame.}
which there should be no variability over the groups. Only used
if the covariance model is not explicitly specified.}
+\item{error.init}{Will be passed to \code{\link[saemix:saemixModel]{saemix::saemixModel()}}.}
+
\item{nbiter.saemix}{Convenience option to increase the number of
iterations}
diff --git a/tests/testthat/_snaps/multistart/llhist-for-biphasic-saemix-fit.svg b/tests/testthat/_snaps/multistart/llhist-for-biphasic-saemix-fit.svg
index fe38865d..6015aed8 100644
--- a/tests/testthat/_snaps/multistart/llhist-for-biphasic-saemix-fit.svg
+++ b/tests/testthat/_snaps/multistart/llhist-for-biphasic-saemix-fit.svg
@@ -21,24 +21,28 @@
<text transform='translate(12.96,280.80) rotate(-90)' text-anchor='middle' style='font-size: 12.00px; font-family: sans;' textLength='148.77px' lengthAdjust='spacingAndGlyphs'>Frequency of log likelihoods</text>
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@@ -46,11 +50,12 @@
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<text x='133.78' y='99.75' style='font-size: 12.00px; font-family: sans;' textLength='51.35px' lengthAdjust='spacingAndGlyphs'>original fit</text>
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diff --git a/tests/testthat/_snaps/multistart/parplot-for-biphasic-saemix-fit.svg b/tests/testthat/_snaps/multistart/parplot-for-biphasic-saemix-fit.svg
index 75519b07..c0332fd5 100644
--- a/tests/testthat/_snaps/multistart/parplot-for-biphasic-saemix-fit.svg
+++ b/tests/testthat/_snaps/multistart/parplot-for-biphasic-saemix-fit.svg
@@ -25,105 +25,109 @@
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diff --git a/tests/testthat/anova_sfo_saem.txt b/tests/testthat/anova_sfo_saem.txt
index 4a21e81f..9e4bf71f 100644
--- a/tests/testthat/anova_sfo_saem.txt
+++ b/tests/testthat/anova_sfo_saem.txt
@@ -4,4 +4,4 @@ Data: 262 observations of 1 variable(s) grouped in 15 datasets
sfo_saem_1_reduced 5 1310 1313 -650
sfo_saem_1_reduced_mkin 5 1310 1313 -650 0 0
sfo_saem_1 6 1312 1316 -650 0 1 1
-sfo_saem_1_mkin 6 1310 1315 -649 1 0
+sfo_saem_1_mkin 6 1312 1316 -650 0 0
diff --git a/tests/testthat/print_dfop_saemix_1.txt b/tests/testthat/print_dfop_saemix_1.txt
index f427b3e6..f6fda37c 100644
--- a/tests/testthat/print_dfop_saemix_1.txt
+++ b/tests/testthat/print_dfop_saemix_1.txt
@@ -13,12 +13,12 @@ Likelihood computed by importance sampling
Fitted parameters:
estimate lower upper
-parent_0 100.04 98.89 101.20
-log_k1 -4.12 -4.24 -4.00
-log_k2 -2.67 -2.90 -2.44
-g_qlogis 0.43 0.22 0.64
-a.1 0.92 0.67 1.16
+parent_0 100.09 98.94 101.25
+log_k1 -2.68 -2.91 -2.45
+log_k2 -4.12 -4.24 -4.00
+g_qlogis -0.41 -0.63 -0.20
+a.1 0.91 0.67 1.15
b.1 0.05 0.04 0.06
-SD.log_k1 0.22 0.14 0.30
-SD.log_k2 0.36 0.21 0.51
-SD.g_qlogis 0.14 -0.11 0.39
+SD.log_k1 0.36 0.21 0.50
+SD.log_k2 0.22 0.13 0.30
+SD.g_qlogis 0.15 -0.09 0.40
diff --git a/tests/testthat/summary_hfit_sfo_tc.txt b/tests/testthat/summary_hfit_sfo_tc.txt
index 49765187..41743091 100644
--- a/tests/testthat/summary_hfit_sfo_tc.txt
+++ b/tests/testthat/summary_hfit_sfo_tc.txt
@@ -32,9 +32,9 @@ Likelihood computed by importance sampling
Optimised parameters:
est. lower upper
-parent_0 101.01 99.57 102.45
+parent_0 101.02 99.58 102.46
log_k_parent -3.32 -3.53 -3.11
-a.1 0.90 0.64 1.17
+a.1 0.91 0.64 1.17
b.1 0.05 0.04 0.06
SD.log_k_parent 0.27 0.11 0.42
@@ -48,7 +48,7 @@ SD.log_k_parent 0.3 0.1 0.4
Variance model:
est. lower upper
-a.1 0.90 0.64 1.17
+a.1 0.91 0.64 1.17
b.1 0.05 0.04 0.06
Backtransformed parameters:
diff --git a/tests/testthat/test_multistart.R b/tests/testthat/test_multistart.R
index 56eb140c..c1a10d10 100644
--- a/tests/testthat/test_multistart.R
+++ b/tests/testthat/test_multistart.R
@@ -21,7 +21,10 @@ test_that("multistart works for saem.mmkin models", {
anova_biphasic <- anova(saem_biphasic_m,
best(saem_biphasic_m_multi))
- expect_true(anova_biphasic[2, "AIC"] < anova_biphasic[1, "AIC"])
+ # With the new starting parameters we do not improve
+ # with multistart any more
+ expect_equal(anova_biphasic[2, "AIC"], anova_biphasic[1, "AIC"],
+ tolerance = 1e-4)
skip_on_travis() # Plots are platform dependent
llhist_sfo <- function() llhist(saem_sfo_s_multi)
diff --git a/tests/testthat/test_saemix_parent.R b/tests/testthat/test_saemix_parent.R
index 79c5fa69..20889c6c 100644
--- a/tests/testthat/test_saemix_parent.R
+++ b/tests/testthat/test_saemix_parent.R
@@ -73,40 +73,36 @@ test_that("Parent fits using saemix are correctly implemented", {
# FOMC
mmkin_fomc_1 <- mmkin("FOMC", ds_fomc, quiet = TRUE, error_model = "tc", cores = n_cores)
fomc_saem_1 <- saem(mmkin_fomc_1, quiet = TRUE, transformations = "saemix", no_random_effect = "parent_0")
- fomc_saem_2 <- update(fomc_saem_1, transformations = "mkin")
- ci_fomc_s1 <- summary(fomc_saem_1)$confint_back
fomc_pop <- as.numeric(fomc_pop)
+ ci_fomc_s1 <- summary(fomc_saem_1)$confint_back
expect_true(all(ci_fomc_s1[, "lower"] < fomc_pop))
expect_true(all(ci_fomc_s1[, "upper"] > fomc_pop))
- expect_equal(endpoints(fomc_saem_1), endpoints(fomc_saem_2), tol = 0.01)
- mmkin_fomc_2 <- update(mmkin_fomc_1, state.ini = 100, fixed_initials = "parent")
- fomc_saem_2 <- saem(mmkin_fomc_2, quiet = TRUE, transformations = "mkin")
+ fomc_saem_2 <- update(fomc_saem_1, transformations = "mkin")
ci_fomc_s2 <- summary(fomc_saem_2)$confint_back
+ expect_true(all(ci_fomc_s2[, "lower"] < fomc_pop))
+ expect_true(all(ci_fomc_s2[, "upper"] > fomc_pop))
- expect_true(all(ci_fomc_s2[, "lower"] < fomc_pop[2:3]))
- expect_true(all(ci_fomc_s2[, "upper"] > fomc_pop[2:3]))
+ expect_equal(endpoints(fomc_saem_1), endpoints(fomc_saem_2), tol = 0.01)
# DFOP
dfop_saemix_2 <- saem(mmkin_dfop_1, quiet = TRUE, transformations = "saemix",
no_random_effect = "parent_0")
- s_dfop_s1 <- summary(dfop_saemix_1)
- s_dfop_s2 <- summary(dfop_saemix_2)
+ s_dfop_s1 <- summary(dfop_saemix_1) # mkin transformations
+ s_dfop_s2 <- summary(dfop_saemix_2) # saemix transformations
s_dfop_n <- summary(dfop_nlme_1)
dfop_pop <- as.numeric(dfop_pop)
- # When using DFOP with mkin transformations, k1 and k2 are sometimes swapped
- swap_k1_k2 <- function(p) c(p[1], p[3], p[2], 1 - p[4])
- expect_true(all(s_dfop_s1$confint_back[, "lower"] < swap_k1_k2(dfop_pop)))
- expect_true(all(s_dfop_s1$confint_back[, "upper"] > swap_k1_k2(dfop_pop)))
+ expect_true(all(s_dfop_s1$confint_back[, "lower"] < dfop_pop))
+ expect_true(all(s_dfop_s1$confint_back[, "upper"] > dfop_pop))
expect_true(all(s_dfop_s2$confint_back[, "lower"] < dfop_pop))
expect_true(all(s_dfop_s2$confint_back[, "upper"] > dfop_pop))
- # We get < 20% deviations with transformations made in mkin (need to swap k1 and k2)
- rel_diff_1 <- (swap_k1_k2(s_dfop_s1$confint_back[, "est."]) - dfop_pop) / dfop_pop
+ # We get < 20% deviations with transformations made in mkin
+ rel_diff_1 <- (s_dfop_s1$confint_back[, "est."] - dfop_pop) / dfop_pop
expect_true(all(rel_diff_1 < 0.20))
# We get < 20% deviations with transformations made in saemix
@@ -123,27 +119,21 @@ test_that("Parent fits using saemix are correctly implemented", {
transformations = "saemix")
expect_equal(
log(endpoints(dfop_saemix_1)$distimes[1:2]),
- log(endpoints(sforb_saemix_1)$distimes[1:2]), tolerance = 0.03)
+ log(endpoints(sforb_saemix_1)$distimes[1:2]), tolerance = 0.01)
expect_equal(
log(endpoints(sforb_saemix_1)$distimes[1:2]),
log(endpoints(sforb_saemix_2)$distimes[1:2]), tolerance = 0.01)
mmkin_hs_1 <- mmkin("HS", ds_hs, quiet = TRUE, error_model = "const", cores = n_cores)
- hs_saem_1 <- saem(mmkin_hs_1, quiet = TRUE)
- hs_saem_2 <- saem(mmkin_hs_1, quiet = TRUE, transformations = "mkin")
+ hs_saem_1 <- saem(mmkin_hs_1, quiet = TRUE, no_random_effect = "parent_0")
+ hs_saem_2 <- saem(mmkin_hs_1, quiet = TRUE, transformations = "mkin",
+ no_random_effect = "parent_0")
expect_equal(endpoints(hs_saem_1), endpoints(hs_saem_2), tol = 0.01)
ci_hs_s1 <- summary(hs_saem_1)$confint_back
hs_pop <- as.numeric(hs_pop)
#expect_true(all(ci_hs_s1[, "lower"] < hs_pop)) # k1 is overestimated
expect_true(all(ci_hs_s1[, "upper"] > hs_pop))
-
- mmkin_hs_2 <- update(mmkin_hs_1, state.ini = 100, fixed_initials = "parent")
- hs_saem_3 <- saem(mmkin_hs_2, quiet = TRUE)
- ci_hs_s3 <- summary(hs_saem_3)$confint_back
-
- #expect_true(all(ci_hs_s3[, "lower"] < hs_pop[2:4])) # k1 again overestimated
- expect_true(all(ci_hs_s3[, "upper"] > hs_pop[2:4]))
})
test_that("We can also use mkin solution methods for saem", {

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