Package: GBASS 2.0.1
GBASS: Generalized Bayesian Adaptive Smoothing Splines
Bayesian nonlinear regression under a range of likelihood models using generalized Bayesian adaptive smoothing splines. Robust regression with Student's t likelihoods, quantile regression, and related latent-scale models are included as special cases.
Authors:
GBASS_2.0.1.tar.gz
GBASS_2.0.1.zip(r-4.7-any)GBASS_2.0.1.zip(r-4.6-any)GBASS_2.0.1.zip(r-4.5-any)
GBASS_2.0.1.tgz(r-4.6-any)GBASS_2.0.1.tgz(r-4.5-any)
GBASS_2.0.1.tar.gz(r-4.7-any)GBASS_2.0.1.tar.gz(r-4.6-any)
GBASS_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GBASS/json (API)
| # Install 'GBASS' in R: |
| install.packages('GBASS', repos = c('https://knrumsey-lanl.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0b6d6528d1. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 175 | ||
| source / vignettes | OK | 256 | ||
| linux-release | OK | 190 | ||
| macos-release | OK | 232 | ||
| macos-oldrel | OK | 224 | ||
| windows-devel | OK | 118 | ||
| windows-release | OK | 101 | ||
| windows-oldrel | OK | 108 | ||
| wasm-release | OK | 138 |
Exports:build_GBPbuild_GIGbuild_priorgbassgbass2bassgm2bmgsobolhbassnw_est_momnw_gamma_priornw_trianglenwbassnwbass2qbassrgig2rmhntbass
Dependencies:BASScontfracdeSolveellipticevdGIGrvghypergeolatticeMASSMatrixtruncdist
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GBASS: Generalized Bayesian Adaptive Smoothing Splines | GBASS-package GBASS |
| Construct a prior specification for GBASS | build_GBP build_GIG build_prior |
| Generalized Bayesian MARS | gbass |
| Convert GBASS object to BASS-like object | gbass2bass gm2bm |
| Sobol decomposition for GBASS models | gsobol |
| HBASS - Bayesian MARS with Horseshoe or Strawderman-Berger likelihood | hbass |
| Method-of-moments estimation for the Normal-Wald distribution | nw_est_mom |
| Calibrate a prior for the Normal-Wald gamma parameter | nw_gamma_prior |
| Plot Normal-Wald shape parameters on the asymmetry-steepness triangle | nw_triangle |
| Generalized Bayesian MARS with a Normal-Wald likelihood | nwbass nwbass2 |
| Plot method for gbass objects | plot.gbass |
| Predict method for GBASS objects | predict.gbass |
| Print a gbass object | print.gbass |
| QBASS - Bayesian MARS with an asymmetric Laplace likelihood | qbass |
| Generalized Inverse Gaussian Generator | rgig2 |
| Random generation from the modified half-normal distribution | rmhn |
| TBASS - Bayesian MARS with a Student's t likelihood | tbass |