Package: RCBR 0.6.2

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>.

Authors:Roger Koenker [aut, cre], Jiaying Gu [aut]

RCBR_0.6.2.tar.gz
RCBR_0.6.2.zip(r-4.5)RCBR_0.6.2.zip(r-4.4)RCBR_0.6.2.zip(r-4.3)
RCBR_0.6.2.tgz(r-4.4-any)RCBR_0.6.2.tgz(r-4.3-any)
RCBR_0.6.2.tar.gz(r-4.5-noble)RCBR_0.6.2.tar.gz(r-4.4-noble)
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RCBR.pdf |RCBR.html
RCBR/json (API)

# Install 'RCBR' in R:
install.packages('RCBR', repos = c('https://rudjer.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

18 exports 0.09 score 8 dependencies 203 downloads

Last updated 11 months agofrom:5708e5c62a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:bounds.KW2GHGH.seGK.controlKW.controlKWDualneighboursNICERNICERdpolycountpolyzoneprcbrrcbrrcbr.fitrcbr.fit.GKrcbr.fit.KW1rcbr.fit.KW2witness

Dependencies:FormulalatticeMatrixmvtnormorthopolynompolynomREBayesRmosek