./math/R-lme4, Linear mixed-effects models using Eigen and S4

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Branch: CURRENT, Version: 1.1.19, Package name: R-lme4-1.1.19, Maintainer: pkgsrc-users

Fit linear and generalized linear mixed-effects 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/R-Rcpp] [math/R-minqa] [math/R-nloptr] [math/R-RcppEigen]

Required to build:
[pkgtools/cwrappers]

Master sites: (Expand)


Version history: (Expand)


CVS history: (Expand)


   2018-12-21 13:53:49 by Wen Heping | Files touched by this commit (2) | Package updated
Log message:
Update to 1.1.19

Upstream changes:
CHANGES IN VERSION 1.1-19
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.

USER-VISIBLE 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

    post-fitting convergence checks based on estimated gradient and Hessian (see \ 
troubleshooting) are no longer performed for (nearly-)singular fits (see \ 
isSingular)

CHANGES IN VERSION 1.1-18-1 (2018-08-17)

    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 1.1-18 ((2018-08-16)
USER-VISIBLE 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 1.1-17 (2018-04-03)

    This is a maintenance release only (fixes CRAN problems with cross-platform \ 
tests and examples)

CHANGES IN VERSION 1.1-16 (2018-03-28)
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)

USER-VISIBLE 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 t-statistic to zero
   2018-07-28 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.  Package-specific definitions also prevent
redefining MASTER_SITES in a single common place.
   2018-01-22 04:27:45 by Wen Heping | Files touched by this commit (1)
Log message:
Remove an unneeded line
   2018-01-22 04:16:11 by Wen Heping | Files touched by this commit (3)
Log message:
Import lme4-1.1.15 as math/R-lme4.

Fit linear and generalized linear mixed-effects 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".