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:
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')) |
- 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.
Last updated 7 years agofrom:76a9543c62. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
Exports:bcgamsm.concsm.convsm.decrsm.decr.concsm.decr.convsm.incrsm.incr.concsm.incr.conv
Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenumDerivpkgconfigpracmaR6rlangvctrs