miceadds: Some additional multiple imputation functions, especially for mice

The package miceadds contains some auxiliary functions for multiple imputation which complements existing functionality in R. In addition to some utility functions, main features include plausible value imputation, multilevel imputation functions, imputation using partial least squares (PLS) for high dimensional predictors and two-way imputation.

Version: 1.0
Depends: R (≥ 2.15.0), MASS, mice (≥ 2.21), mvtnorm, pan (≥ 0.9)
Imports: sirt (≥ 0.42), lme4, MBESS, pls, mitools, bayesm, Rcpp (≥ 0.11-0), inline, car, foreign
LinkingTo: Rcpp, RcppArmadillo
Suggests: Amelia, Zelig, rbenchmark, reshape
Published: 2014-11-08
Author: Alexander Robitzsch [aut, cre]
Maintainer: Alexander Robitzsch <a.robitzsch at bifie.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
Citation: NA
Materials: NA
CRAN checks: miceadds results

Downloads:

Reference manual: miceadds.pdf
Package source: miceadds_1.0.tar.gz
Windows binaries: r-devel: miceadds_1.0.zip, r-release: miceadds_1.0.zip, r-oldrel: miceadds_1.0.zip
OS X Snow Leopard binaries: r-release: miceadds_1.0.tgz, r-oldrel: miceadds_1.0.tgz
OS X Mavericks binaries: r-release: miceadds_1.0.tgz
Old sources: miceadds archive

Reverse dependencies:

Reverse imports: BIFIEsurvey
Reverse suggests: hot.deck