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| author | Johannes Ranke <jranke@uni-bremen.de> | 2020-05-26 18:38:51 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2020-05-26 18:52:01 +0200 |
| commit | 675a733fa2acc08daabb9b8b571c7d658f281f73 (patch) | |
| tree | ef29cec38aa6d446f7956c0e423cca6bed2e21c0 /R/nlme.R | |
| parent | 5e85d8856e7c9db3c52bb6ac5a0a81e2f0c6181c (diff) | |
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.
Diffstat (limited to 'R/nlme.R')
| -rw-r--r-- | R/nlme.R | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -125,7 +125,7 @@ nlme_function <- function(object) { #' @return If random is FALSE (default), a named vector containing mean values #' of the fitted degradation model parameters. If random is TRUE, a list with #' fixed and random effects, in the format required by the start argument of -#' nlme for the case of a single grouping variable ds? +#' nlme for the case of a single grouping variable ds. #' @param random Should a list with fixed and random effects be returned? #' @export mean_degparms <- function(object, random = FALSE) { |