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pwlmm: PWIGLS for Two-Level Multivariate and Multilevel Linear Models

Estimates two-level multilevel linear model and two-level multivariate linear multilevel model with weights following Probability Weighted Iterative Generalised Least Squares approach. For details see Veiga et al.(2014) <doi:10.1111/rssc.12020>.

Version:1.1.1
Depends:R (≥ 3.5.0)
Imports:lme4,Matrix,Rcpp,RcppEigen
LinkingTo:Rcpp,RcppEigen
Suggests:knitr,rmarkdown
Published:2022-06-13
DOI:10.32614/CRAN.package.pwlmm
Author:Alinne VeigaORCID iD [aut, cre], João Messa [aut, trl, com]
Maintainer:Alinne Veiga <alinne.veiga at ibge.gov.br>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:pwlmm results

Documentation:

Reference manual:pwlmm.html ,pwlmm.pdf
Vignettes:pwlmm (source,R code)

Downloads:

Package source: pwlmm_1.1.1.tar.gz
Windows binaries: r-devel:pwlmm_1.1.1.zip, r-release:pwlmm_1.1.1.zip, r-oldrel:pwlmm_1.1.1.zip
macOS binaries: r-release (arm64):pwlmm_1.1.1.tgz, r-oldrel (arm64):pwlmm_1.1.1.tgz, r-release (x86_64):pwlmm_1.1.1.tgz, r-oldrel (x86_64):pwlmm_1.1.1.tgz
Old sources: pwlmm archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pwlmmto link to this page.


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