Package: bcgam 1.0

Cristian Oliva-Aviles

bcgam: Bayesian Constrained Generalised Linear Models

Fits generalised partial linear regression models using a Bayesian approach, where shape and smoothness constraints are imposed on nonparametrically modelled predictors through shape-restricted splines, and no constraints are imposed on optional parametrically modelled covariates. See Meyer et al. (2011) <doi/10.1080/10485252.2011.597852> for more details. IMPORTANT: before installing 'bcgam', you need to install 'Rtools' (Windows) or 'Xcode' (Mac OS X). These are required for the correct installation of 'nimble' (<https://r-nimble.org/download>).

Authors:Cristian Oliva-Aviles [aut, cre], Mary C. Meyer [aut]

bcgam_1.0.tar.gz
bcgam_1.0.tar.gz(r-4.5-noble)bcgam_1.0.tar.gz(r-4.4-noble)
bcgam_1.0.tgz(r-4.4-emscripten)bcgam_1.0.tgz(r-4.3-emscripten)
bcgam.pdf |bcgam.html
bcgam/json (API)

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

Peer review:

Datasets:
  • duncan - Duncan's occupational prestige data

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

1.15 score 14 scripts 270 downloads 9 exports 16 dependencies

Last updated 7 years agofrom:76a9543c62. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxOKDec 04 2024

Exports:bcgamsm.concsm.convsm.decrsm.decr.concsm.decr.convsm.incrsm.incr.concsm.incr.conv

Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenumDerivpkgconfigpracmaR6rlangvctrs