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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
Author: Alinne Veiga ORCID 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.pdf
Vignettes: pwlmm

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:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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