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
DOI: 10.32614/CRAN.package.RCBR
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


Reference manual: RCBR.pdf


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


Please use the canonical form https://CRAN.R-project.org/package=RCBR to link to this page.