weightedScores: Weighted Scores Method for Regression Models with Dependent Data

The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <arXiv:1510.07376>.

Version: 0.9.5.3
Depends: R (≥ 2.0.0), mvtnorm, rootSolve
Published: 2020-03-23
Author: Aristidis K. Nikoloulopoulos [aut, cre], Harry Joe [aut]
Maintainer: Aristidis K. Nikoloulopoulos <a.nikoloulopoulos at uea.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: weightedScores results

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Reference manual: weightedScores.pdf
Package source: weightedScores_0.9.5.3.tar.gz
Windows binaries: r-devel: weightedScores_0.9.5.3.zip, r-devel-UCRT: weightedScores_0.9.5.3.zip, r-release: weightedScores_0.9.5.3.zip, r-oldrel: weightedScores_0.9.5.3.zip
macOS binaries: r-release (arm64): weightedScores_0.9.5.3.tgz, r-release (x86_64): weightedScores_0.9.5.3.tgz, r-oldrel: weightedScores_0.9.5.3.tgz
Old sources: weightedScores archive

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