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RCBR: Random Coefficient Binary Response Estimation

Nonparametric maximum likelihood estimation methods for random coefficient binary response models and some related functionality for sequential processing of hyperplane arrangements. See J. Gu and R. Koenker (2020) <doi:10.1080/01621459.2020.1802284>.

Version: 0.6.2
Depends: R (≥ 2.10), Matrix
Imports: methods, Rmosek, REBayes, orthopolynom, Formula, mvtnorm
Suggests: knitr, digest
Published: 2023-11-08
Author: Roger Koenker [aut, cre], Jiaying Gu [aut]
Maintainer: Roger Koenker <rkoenker at uiuc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org
NeedsCompilation: no
SystemRequirements: MOSEK (http://www.mosek.com) and MOSEK License for use of Rmosek,
Materials: ChangeLog
CRAN checks: RCBR results

Documentation:

Reference manual: RCBR.pdf

Downloads:

Package source: RCBR_0.6.2.tar.gz
Windows binaries: r-devel: RCBR_0.6.2.zip, r-release: RCBR_0.6.2.zip, r-oldrel: RCBR_0.6.2.zip
macOS binaries: r-release (arm64): RCBR_0.6.2.tgz, r-oldrel (arm64): RCBR_0.6.2.tgz, r-release (x86_64): RCBR_0.6.2.tgz, r-oldrel (x86_64): RCBR_0.6.2.tgz
Old sources: RCBR 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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