Learn R Programming

FBMS (version 1.3)

Flexible Bayesian Model Selection and Model Averaging

Description

Implements the Mode Jumping Markov Chain Monte Carlo algorithm described in and its Genetically Modified counterpart described in as well as the sub-sampling versions described in for flexible Bayesian model selection and model averaging.

Copy Link

Version

Install

install.packages('FBMS')

Monthly Downloads

402

Version

1.3

License

GPL-2

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/jonlachmann/FBMS

Maintainer

Jon Lachmann

Last Published

November 20th, 2025

Functions in FBMS (1.3)

fbms.mlik.master

Master Log Marginal Likelihood Function

gen.probs.mjmcmc

Generate a Probability List for MJMCMC (Mode Jumping MCMC)

fitted.fbms_predict

Access Fitted Values

gaussian.loglik

Log Likelihood Function for Gaussian Regression with a Jeffreys Prior and BIC Approximation

gen.params.mjmcmc

Generate a Parameter List for MJMCMC (Mode Jumping MCMC)

gen.probs.gmjmcmc

Generate a Probability List for GMJMCMC (Genetically Modified MJMCMC)

Main Algorithm for MJMCMC (Genetically Modified MJMCMC)

mjmcmc.parallel

Run Multiple MJMCMC Runs in Parallel, Merging the Results Before Returning.

Log Model Prior Function

logistic.loglik

Log Likelihood Function for Logistic Regression with a Jeffreys Parameter Prior and BIC Approximations of the Posterior.

Impute Missing Values in the Data

Extract the Best Model from MJMCMC or GMJMCMC Results

Negative ReLU Function

p0 Polynomial Term

Main Algorithm for GMJMCMC (Genetically Modified MJMCMC)

Retrieve the Median Probability Model (MPM)

Impute Missing Values in Test Data Using Training Data

gen.params.gmjmcmc

Generate a Parameter List for GMJMCMC (Genetically Modified MJMCMC)

gmjmcmc.parallel

Run Multiple GMJMCMC (Genetically Modified MJMCMC) Runs in Parallel.

p05 Polynomial Term

p0p05 Polynomial Term

Heavy Side Function

plot.bgnlm_model

Plot BGNLM Model

predict.gmjmcmc_parallel

Predict Using a GMJMCMC Result Object from a Parallel Run

predict.gmjmcmc_merged

Predict Using a Merged GMJMCMC Result Object

Print Method for \"feature\" Class

Print GMJMCMC Model Object

p3 Polynomial Term

p0p1 Polynomial Term

pm1 Polynomial Term

pm2 Polynomial Term

Generic for Accessing Mean Predictions

Function to Generate a Function String for a Model Consisting of Features

p0p0 Polynomial Term

Merge a List of Multiple Results from Many Runs

Function for Calculating Marginal Inclusion Probabilities of Features Given a List of Models

summary.fbms_predict

Summary of FBMS Prediction Object

Print MJMCMC Model Object

p0p3 Polynomial Term

print.mjmcmc_parallel

Print MJMCMC Parallel Model Object

p0p2 Polynomial Term

print.gmjmcmc_merged

Print GMJMCMC Merged Model Object

Set the Transformations Option for GMJMCMC (Genetically Modified MJMCMC).

summary.gmjmcmc

Function to Print a Quick Summary of the Results

p2 Polynomial Term

p0pm2 Polynomial Term

predict.bgnlm_model

Predict Responses from a BGNLM Model

Sigmoid Function

p0pm05 Polynomial Term

Negative Heavy Side Function

Predict Using an MJMCMC Result Object

plot.gmjmcmc_merged

Plot a gmjmcmc_merged Run

p0pm1 Polynomial Terms

Function to Plot GMJMCMC Results and Merged Results from merge.results

Generic for Accessing Quantile Predictions

residuals.bgnlm_model

Residuals for BGNLM Model

predquantiles.fbms_predict

Access Quantile Predictions

residuals.gmjmcmc

Residuals for GMJMCMC Model

predict.gmjmcmc

Predict Using a GMJMCMC Result Object

predict.mjmcmc_parallel

Predict Using an MJMCMC Result Object from a Parallel Run

summary.gmjmcmc_merged

Function to Print a Quick Summary of the Results

string.population.models

Function to Get a Character Representation of a List of Models

predmean.fbms_predict

Access Mean Predictions

residuals.gmjmcmc_merged

Residuals for GMJMCMC Merged Model

string.population

Function to Get a Character Representation of a List of Features

residuals.mjmcmc

Residuals for MJMCMC Model

Function to Print a Quick Summary of the Results

Negative GELU Function

Function to Plot GMJMCMC Results and Merged Results from merge.results

plot.mjmcmc_parallel

Plot an mjmcmc_parallel Run

plot.fbms_predict

Plot FBMS Prediction Object

pm05 Polynomial Term

summary.mjmcmc_parallel

Function to Print a Quick Summary of the Results

rmclapply: Cross-Platform mclapply/Forking Hack for Windows

Sine Function for Degrees

print.bgnlm_model

Print BGNLM Model Object

residuals.mjmcmc_parallel

Residuals for MJMCMC Parallel Model

Cube Root Function

print.fbms_predict

Print FBMS Prediction Object

Square Root Function

tools:::Rd_package_title("FBMS")

aggr.fbms_predict

Access Aggregated Predictions

Coefficients for GMJMCMC Model

coef.bgnlm_model

Coefficients for BGNLM Model

coef.gmjmcmc_merged

Coefficients for GMJMCMC Merged Model

Arcsinh Transform

Breast Cancer Wisconsin (Diagnostic) Data Set

Generic for Accessing Aggregated Predictions

Double Exponential Function

Fit a BGNLM Model Using MJMCMC or GMJMCMC Sampling.

compute_effects

Compute Effects for Specified Covariates Using a Fitted Model

Plot Convergence Diagnostics for GMJMCMC or GMJMCMC Merged Results

Cosine Function for Degrees

Excerpt from the Open Exoplanet Catalogue Data Set

Physical Measurements of 4177 Abalones, a Species of Sea Snail.

Gene Expression Data for Lymphoblastoid Cell Lines of 210 Unrelated HapMap individuals from four populations

Coefficients for MJMCMC Model

coef.mjmcmc_parallel

Coefficients for MJMCMC Parallel Model