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Classification -- Bayesian Adaptive Smoothing Splines

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2.2Kdownloads / year
–test coverage
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Overview

About

Fit multiclass Classification version of Bayesian Adaptive Smoothing Splines (CBASS) to data using reversible jump MCMC. The multiclass classification problem consists of a response variable that takes on unordered categorical values with at least three levels, and a set of inputs for each response variable. The CBASS model consists of a latent multivariate probit formulation, and the means of the latent Gaussian random variables are specified using adaptive regression splines. The MCMC alternates updates of the latent Gaussian variables and the spline parameters. All the spline parameters (variables, signs, knots, number of interactions), including the number of basis functions used to model each latent mean, are inferred. Functions are provided to process inputs, initialize the chain, run the chain, and make predictions. Predictions are made on a probabilistic basis, where, for a given input, the probabilities of each categorical value are produced. See Marrs and Francom (2023) "Multiclass classification using Bayesian multivariate adaptive regression splines" Under review.

Install

Health

CRAN checks
13OK
Slowest check: 49 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #23,455 · ~6/day · ~184/mo
Daily download trend is not available in this view yet.
24030 days
54790 days
2.2K1 year
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Also on87 r2u9 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing cbass adds no packages beyond those that come with R.

Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1 (2023)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1Latest
    2023-07-06 · current release
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-07-06
Total releases
1 / 3 yrs
License
GPL-3 OSI
Download size
16 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cbass")
Marrs, F., & Francom, D. (2023). cbass: Classification -- Bayesian Adaptive Smoothing Splines (Version 0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.cbass

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cbass version 0.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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