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.

1 files changed, 6 insertions, 1 deletions

diff --git a/man/confint.mkinfit.Rd b/man/confint.mkinfit.Rd
index f295afc4..fd2890ff 100644
--- a/man/confint.mkinfit.Rd
+++ b/man/confint.mkinfit.Rd
@@ -13,7 +13,8 @@
   method = c("quadratic", "profile"),
   transformed = TRUE,
   backtransform = TRUE,
-  cores = round(detectCores()/2),
+  cores = parallel::detectCores(),
+  rel_tol = 0.01,
   quiet = FALSE,
   ...
 )
@@ -48,6 +49,10 @@ their confidence intervals?}
 \item{cores}{The number of cores to be used for multicore processing.
 On Windows machines, cores > 1 is currently not supported.}
 
+\item{rel_tol}{If the method is 'profile', what should be the accuracy
+of the lower and upper bounds, relative to the estimate obtained from
+the quadratic method?}
+
 \item{quiet}{Should we suppress the message "Profiling the likelihood"}
 
 \item{\dots}{Not used}