diff options
| 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/mmkin.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/mmkin.R')
| -rw-r--r-- | R/mmkin.R | 5 |
1 files changed, 3 insertions, 2 deletions
@@ -12,7 +12,8 @@ #' @param cores The number of cores to be used for multicore processing. This #' is only used when the \code{cluster} argument is \code{NULL}. On Windows #' machines, cores > 1 is not supported, you need to use the \code{cluster} -#' argument to use multiple logical processors. +#' argument to use multiple logical processors. Per default, all cores +#' detected by [parallel::detectCores()] are used. #' @param cluster A cluster as returned by \code{\link{makeCluster}} to be used #' for parallel execution. #' @param \dots Further arguments that will be passed to \code{\link{mkinfit}}. @@ -62,7 +63,7 @@ #' #' @export mmkin mmkin <- function(models = c("SFO", "FOMC", "DFOP"), datasets, - cores = round(detectCores()/2), cluster = NULL, ...) + cores = detectCores(), cluster = NULL, ...) { parent_models_available = c("SFO", "FOMC", "DFOP", "HS", "SFORB", "IORE", "logistic") n.m <- length(models) |