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math/Rlme4,
Linear mixedeffects models using Eigen and S4
Branch: CURRENT,
Version: 1.1.19,
Package name: Rlme41.1.19,
Maintainer: pkgsrcusersFit linear and generalized linear mixedeffects models. The models
and their components are represented using S4 classes and methods.
The core computational algorithms are implemented using the Eigen
C++ library for numerical linear algebra and RcppEigen "glue".
Required to run:[
math/R] [
devel/RRcpp] [
math/Rminqa] [
math/Rnloptr] [
math/RRcppEigen]
Required to build:[
pkgtools/cwrappers]
Master sites: (Expand)
Version history: (Expand)
 (20181221) Updated to version: Rlme41.1.19
 (20180122) Package added to pkgsrc.se, version Rlme41.1.15 (created)
CVS history: (Expand)
20181221 13:53:49 by Wen Heping  Files touched by this commit (2)  
Log message:
Update to 1.1.19
Upstream changes:
CHANGES IN VERSION 1.119
NEW FEATURES
influence measure code from car rolled in (see ?influence.merMod)
mkReTrm gets new arguments reorder.terms, reorder.vars to control \
arrangement of RE terms and individual effects with RE terms within model \
structures
adding material from the RePsychLing package (on GitHub; see Bates et al \
2015 arXiv:1506.04967) to show orthogonal variance components.
USERVISIBLE CHANGES
as.data.frame.merMod finds conditional variance information stored either as \
attr(.,"postVar") or attr(.,"condVar") (for glmmTMB \
compatibility)
change to defaults of [g]lmerControl to print a message when fits are singular
new utility isSingular() function for detecting singular fits; by default a \
message is printed for singular fits
allFit function/methods have been moved to the main package, rather than \
being included in an auxiliary source file
postfitting convergence checks based on estimated gradient and Hessian (see \
troubleshooting) are no longer performed for (nearly)singular fits (see \
isSingular)
CHANGES IN VERSION 1.1181 (20180817)
This is a minor release; the only change is to roll back (unexport) the \
influence.merMod method, pending resolution of conflicts with the car package
CHANGES IN VERSION 1.118 ((20180816)
USERVISIBLE CHANGES
ranef(.,condVar=TRUE) now works when there are multiple random effects terms \
per factor
NEW FEATURES
rstudent and influence methods are available for merMod objects
devfun2 function (for generating a deviance function that works on the \
standard deviation/correlation scale) is now exported
BUG FIXES
lmList now obeys its pool argument (instead of always using what currently \
is the default, GH #476)
CHANGES IN VERSION 1.117 (20180403)
This is a maintenance release only (fixes CRAN problems with crossplatform \
tests and examples)
CHANGES IN VERSION 1.116 (20180328)
BUG FIXES
lmList no longer ignores the subset argument (John Fox)
fixed several minor issues with predicting when (1) grouping variables have \
different levels from original model (e.g. missing levels/factor levels not \
explicitly specified in newdata) or (2) re.form is a subset of the original RE \
formula and some (unused) grouping variables are omitted from newdata (GH #452, \
#457)
USERVISIBLE CHANGES
lmList tries harder to collect errors and pass them on as warnings
documented as.function method (given a merMod object, returns a function \
that computes the deviance/REML criterion for specified parameters)
print method for summary.merMod objects no longer collapses small values of \
the tstatistic to zero

20180728 16:40:53 by Brook Milligan  Files touched by this commit (126) 
Log message:
Remove MASTER_SITES= from individual R package Makefiles.
Each R package should include ../../math/R/Makefile.extension, which also
defines MASTER_SITES. Consequently, it is redundant for the individual
packages to do the same. Packagespecific definitions also prevent
redefining MASTER_SITES in a single common place.

20180122 04:27:45 by Wen Heping  Files touched by this commit (1) 
Log message:
Remove an unneeded line

20180122 04:16:11 by Wen Heping  Files touched by this commit (3) 
Log message:
Import lme41.1.15 as math/Rlme4.
Fit linear and generalized linear mixedeffects models. The models
and their components are represented using S4 classes and methods.
The core computational algorithms are implemented using the Eigen
C++ library for numerical linear algebra and RcppEigen "glue".
