pwlmm: PWIGLS for Two-Level Multivariate and Multilevel Linear Models (original) (raw)
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 |
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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 Veiga |
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> |
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Vignettes: | pwlmm (source, R code) |
Downloads:
Package source: | pwlmm_1.1.1.tar.gz |
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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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