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, 1 insertions, 1 deletions

diff --git a/man/nlme.Rd b/man/nlme.Rd
index 5e981a14..2ee2a20c 100644
--- a/man/nlme.Rd
+++ b/man/nlme.Rd
@@ -23,7 +23,7 @@ A function that can be used with nlme
 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.
 
 A \code{\link{groupedData}} object
 }