Other packages > Find by keyword >

cbass  

Classification – Bayesian Adaptive Smoothing Splines
View on CRAN: Click here


Download and install cbass package within the R console
Install from CRAN:
install.packages("cbass")

Install from Github:
library("remotes")
install_github("cran/cbass")

Install by package version:
library("remotes")
install_version("cbass", "0.1")



Attach the package and use:
library("cbass")
Maintained by
Frank Marrs
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-06
Latest Update: 2023-07-06
Description:
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.
How to cite:
Frank Marrs (2023). cbass: Classification – Bayesian Adaptive Smoothing Splines. R package version 0.1, https://cran.r-project.org/web/packages/cbass
Previous versions and publish date:
No previous versions
Other packages that cited cbass R package
View cbass citation profile
Other R packages that cbass depends, imports, suggests or enhances
Functions, R codes and Examples using the cbass R package
Some associated functions: augment.X . fit.cbass . p.mu . pred.cbass . sample.z . 
Some associated R codes: estimation_functions.R . helper_functions.R . prediction_functions_v2.R . sampling_functions.R .  Full cbass package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

FMCCSD  
Efficient Estimation of Clustered Current Status Data
Current status data abounds in the field of epidemiology and public health, where the only observab ...
Download / Learn more Package Citations See dependency  
cdcfluview  
Retrieve Flu Season Data from the United States Centers for Disease Control and Prevention ("CDC") "FluView" Portal
The 'U.S.' Centers for Disease Control and Prevention (CDC) maintain a portal ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resizer for Images, Tables and Fancy Resizable Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
srm  
Structural Equation Modeling for the Social Relations Model
Provides functionality for structural equation modeling for the social relations model (Kenny & ...
Download / Learn more Package Citations See dependency  
bizicount  
Bivariate Zero-Inflated Count Models Using Copulas
Maximum likelihood estimation of copula-based zero-inflated (and non-inflated) Poisson and negative ...
Download / Learn more Package Citations See dependency  
QuantileNPCI  
Nonparametric Confidence Intervals for Quantiles
Based on Alan D. Hutson (1999) , "Calculating nonparametric confidence i ...
Download / Learn more Package Citations See dependency  
Maintainer: Li Yan (view profile)

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns