From 675a733fa2acc08daabb9b8b571c7d658f281f73 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 26 May 2020 18:38:51 +0200 Subject: Use all cores per default, confint tolerance Also, use more intelligent starting values for the variance of the random effects for saemix. While this does not appear to speed up the convergence, it shows where this variance is greatly reduced by using mixed-effects models as opposed to the separate independent fits. --- docs/reference/parms.html | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) (limited to 'docs/reference/parms.html') diff --git a/docs/reference/parms.html b/docs/reference/parms.html index 432bbc88..2fe91c26 100644 --- a/docs/reference/parms.html +++ b/docs/reference/parms.html @@ -195,7 +195,8 @@ such matrices is returned.

ds <- lapply(experimental_data_for_UBA_2019[6:10], function(x) subset(x$data[c("name", "time", "value")])) names(ds) <- paste("Dataset", 6:10) -fits <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE) +# \dontrun{ +fits <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE, cores = 1) parms(fits["SFO", ])
#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 #> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450 #> k_parent_sink 0.05794659 0.009647805 0.2102974 0.1232258 0.00720421 @@ -259,7 +260,8 @@ such matrices is returned.

#> log_k2 -3.5206791 -5.85402317 -2.5794240 -3.4233253 -5.676532 #> g_ilr -0.1463234 0.07627854 0.4719196 0.4477805 -0.460676 #> sigma 1.3569047 2.22130220 1.3416908 2.8715985 1.942068 -#>
+#>
# } +