Include random effects in starting parameters

- mean_degparms() now optionally returns starting values for fixed and
  random effects, which makes it possible to obtain acceptable fits
  also in more difficult cases (with more parameters)
- Fix the anova method, as it is currently not enough to inherit from
  lme: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17761
- Show fit information, and per default also errmin information
  in plot.nlme.mmkin()
- Examples for nlme.mmkin: Decrease tolerance and increase the number of
  iterations in the PNLS step in order to be able to fit FOMC-SFO and
  DFOP-SFO

1 files changed, 3 insertions, 0 deletions

diff --git a/NAMESPACE b/NAMESPACE
index fce1c5f7..ef610857 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -3,6 +3,7 @@
 S3method("[",mmkin)
 S3method(AIC,mmkin)
 S3method(BIC,mmkin)
+S3method(anova,nlme.mmkin)
 S3method(aw,mkinfit)
 S3method(aw,mmkin)
 S3method(confint,mkinfit)
@@ -22,10 +23,12 @@ S3method(plot,nlme.mmkin)
 S3method(print,mkinds)
 S3method(print,mkinmod)
 S3method(print,nafta)
+S3method(print,nlme.mmkin)
 S3method(print,summary.mkinfit)
 S3method(residuals,mkinfit)
 S3method(summary,mkinfit)
 S3method(update,mkinfit)
+S3method(update,nlme.mmkin)
 export(CAKE_export)
 export(DFOP.solution)
 export(FOMC.solution)