From 675a733fa2acc08daabb9b8b571c7d658f281f73 Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
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.
---
 man/mmkin.Rd | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

(limited to 'man/mmkin.Rd')

diff --git a/man/mmkin.Rd b/man/mmkin.Rd
index eda0d837..9a74a9cd 100644
--- a/man/mmkin.Rd
+++ b/man/mmkin.Rd
@@ -8,7 +8,7 @@ more datasets}
 mmkin(
   models = c("SFO", "FOMC", "DFOP"),
   datasets,
-  cores = round(detectCores()/2),
+  cores = detectCores(),
   cluster = NULL,
   ...
 )
@@ -24,7 +24,8 @@ data for \code{\link{mkinfit}}.}
 \item{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 \code{\link[parallel:detectCores]{parallel::detectCores()}} are used.}
 
 \item{cluster}{A cluster as returned by \code{\link{makeCluster}} to be used
 for parallel execution.}
-- 
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