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FBMS (version 1.4)

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.

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Install

install.packages('FBMS')

Monthly Downloads

313

Version

1.4

License

GPL-2

Issues

Pull Requests

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Repository

https://github.com/jonlachmann/FBMS

Maintainer

Jon Lachmann

Last Published

August 25th, 2026

Functions in FBMS (1.4)

gen.params.mjmcmc

Generate a Parameter List for MJMCMC (Mode Jumping MCMC)

fitted.fbms_predict

Access Fitted Values

Heavy Side Function

gmjmcmc.parallel

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

Impute Missing Values in Test Data Using Training Data

Impute Missing Values in the Data

gaussian.loglik

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

gen.probs.gmjmcmc

Generate a Probability List for GMJMCMC (Genetically Modified MJMCMC)

Log Model Prior Function

Negative GELU Function

coef.mjmcmc_parallel

Coefficients for MJMCMC Parallel Model

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

logistic.loglik

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

gen.params.gmjmcmc

Generate a Parameter List for GMJMCMC (Genetically Modified MJMCMC)

Merge a List of Multiple Results from Many Runs

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

p05 Polynomial Term

p0p0 Polynomial Term

gen.probs.mjmcmc

Generate a Probability List for MJMCMC (Mode Jumping MCMC)

Extract the Best Model from MJMCMC or GMJMCMC Results

Retrieve the Median Probability Model (MPM)

Main Algorithm for GMJMCMC (Genetically Modified MJMCMC)

p0p05 Polynomial Term

Main Algorithm for MJMCMC (Genetically Modified MJMCMC)

mjmcmc.parallel

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

plot.fbms_predict

Plot FBMS Prediction Object

pm2 Polynomial Term

p3 Polynomial Term

pm1 Polynomial Term

plot.bgnlm_model

Plot BGNLM Model

p2 Polynomial Term

p0 Polynomial Term

predict.gmjmcmc_parallel

Predict Using a GMJMCMC Result Object from a Parallel Run

predict.gmjmcmc_merged

Predict Using a Merged GMJMCMC Result Object

Negative ReLU Function

p0pm2 Polynomial Term

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

Generic for Accessing Mean Predictions

plot.gmjmcmc_merged

Plot a gmjmcmc_merged Run

p0p3 Polynomial Term

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

p0p1 Polynomial Term

predict.bgnlm_model

Predict Responses from a BGNLM Model

predict.gmjmcmc

Predict Using a GMJMCMC Result Object

predict.mjmcmc_parallel

Predict Using an MJMCMC Result Object from a Parallel Run

Predict Using an MJMCMC Result Object

p0p2 Polynomial Term

Sine Function for Degrees

predmean.fbms_predict

Access Mean Predictions

residuals.mjmcmc_parallel

Residuals for MJMCMC Parallel Model

rmclapply: Cross-Platform mclapply/Forking Hack for Windows

plot.mjmcmc_parallel

Plot an mjmcmc_parallel Run

Negative Heavy Side Function

p0pm05 Polynomial Term

Print Method for \"feature\" Class

p0pm1 Polynomial Terms

print.mjmcmc_parallel

Print MJMCMC Parallel Model Object

Function to Print a Quick Summary of the Results

summary.gmjmcmc_merged

Function to Print a Quick Summary of the Results

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

Sigmoid Function

Cube Root Function

summary.mjmcmc_parallel

Function to Print a Quick Summary of the Results

Print GMJMCMC Model Object

Square Root Function

pm05 Polynomial Term

residuals.gmjmcmc_merged

Residuals for GMJMCMC Merged Model

summary.fbms_predict

Summary of FBMS Prediction Object

summary.gmjmcmc

Function to Print a Quick Summary of the Results

Generic for Accessing Quantile Predictions

residuals.mjmcmc

Residuals for MJMCMC Model

print.fbms_predict

Print FBMS Prediction Object

residuals.bgnlm_model

Residuals for BGNLM Model

print.bgnlm_model

Print BGNLM Model Object

residuals.gmjmcmc

Residuals for GMJMCMC Model

predquantiles.fbms_predict

Access Quantile Predictions

string.population.models

Function to Get a Character Representation of a List of Models

Print MJMCMC Model Object

string.population

Function to Get a Character Representation of a List of Features

print.gmjmcmc_merged

Print GMJMCMC Merged Model Object

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

Coefficients for GMJMCMC Model

coef.gmjmcmc_merged

Coefficients for GMJMCMC Merged Model

Generic for Accessing Aggregated Predictions

coef.bgnlm_model

Coefficients for BGNLM Model

Arcsinh Transform

tools:::Rd_package_title("FBMS")

aggr.fbms_predict

Access Aggregated Predictions

fbms.mlik.master

Master Log Marginal Likelihood Function

Cosine Function for Degrees

Plot Convergence Diagnostics for GMJMCMC or GMJMCMC Merged Results

Double Exponential Function

Fit a BGNLM Model Using MJMCMC or GMJMCMC Sampling.

Coefficients for MJMCMC Model

compute_effects

Compute Effects for Specified Covariates Using a Fitted Model

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

Breast Cancer Wisconsin (Diagnostic) Data Set

Excerpt from the Open Exoplanet Catalogue Data Set