Flexible Bayesian Model Selection and Model Averaging

Documentation for package ‘FBMS’ version 1.3

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Flexible Bayesian Model Selection and Model Averaging

-- A --

abalone	Physical Measurements of 4177 Abalones, a Species of Sea Snail.
aggr	Generic for Accessing Aggregated Predictions
aggr.fbms_predict	Access Aggregated Predictions
arcsinh	Arcsinh Transform

-- B --

breastcancer

Breast Cancer Wisconsin (Diagnostic) Data Set

-- C --

coef.bgnlm_model	Coefficients for BGNLM Model
coef.gmjmcmc	Coefficients for GMJMCMC Model
coef.gmjmcmc_merged	Coefficients for GMJMCMC Merged Model
coef.mjmcmc	Coefficients for MJMCMC Model
coef.mjmcmc_parallel	Coefficients for MJMCMC Parallel Model
compute_effects	Compute Effects for Specified Covariates Using a Fitted Model
cos_deg	Cosine Function for Degrees

-- D --

diagn_plot

Plot Convergence Diagnostics for GMJMCMC or GMJMCMC Merged Results

-- E --

erf	Erf Function
exoplanet	Excerpt from the Open Exoplanet Catalogue Data Set
exp_dbl	Double Exponential Function

-- F --

FBMS	Flexible Bayesian Model Selection and Model Averaging
fbms	Fit a BGNLM Model Using MJMCMC or GMJMCMC Sampling.
fbms.mlik.master	Master Log Marginal Likelihood Function
fitted.fbms_predict	Access Fitted Values

-- G --

gaussian.loglik	Log Likelihood Function for Gaussian Regression with a Jeffreys Prior and BIC Approximation
gelu	GELU Function
gen.params.gmjmcmc	Generate a Parameter List for GMJMCMC (Genetically Modified MJMCMC)
gen.params.mjmcmc	Generate a Parameter List for MJMCMC (Mode Jumping MCMC)
gen.probs.gmjmcmc	Generate a Probability List for GMJMCMC (Genetically Modified MJMCMC)
gen.probs.mjmcmc	Generate a Probability List for MJMCMC (Mode Jumping MCMC)
get.best.model	Extract the Best Model from MJMCMC or GMJMCMC Results
get.mpm.model	Retrieve the Median Probability Model (MPM)
gmjmcmc	Main Algorithm for GMJMCMC (Genetically Modified MJMCMC)
gmjmcmc.parallel	Run Multiple GMJMCMC (Genetically Modified MJMCMC) Runs in Parallel.

-- H --

hs	Heavy Side Function

-- I --

impute_x	Impute Missing Values in the Data
impute_x_pred	Impute Missing Values in Test Data Using Training Data

-- L --

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

-- M --

marginal.probs	Function for Calculating Marginal Inclusion Probabilities of Features Given a List of Models
merge_results	Merge a List of Multiple Results from Many Runs
mjmcmc	Main Algorithm for MJMCMC (Genetically Modified MJMCMC)
mjmcmc.parallel	Run Multiple MJMCMC Runs in Parallel, Merging the Results Before Returning.
model.string	Function to Generate a Function String for a Model Consisting of Features

-- N --

ngelu	Negative GELU Function
nhs	Negative Heavy Side Function
not	Not x
nrelu	Negative ReLU Function

-- P --

p0	p0 Polynomial Term
p05	p05 Polynomial Term
p0p0	p0p0 Polynomial Term
p0p05	p0p05 Polynomial Term
p0p1	p0p1 Polynomial Term
p0p2	p0p2 Polynomial Term
p0p3	p0p3 Polynomial Term
p0pm05	p0pm05 Polynomial Term
p0pm1	p0pm1 Polynomial Terms
p0pm2	p0pm2 Polynomial Term
p2	p2 Polynomial Term
p3	p3 Polynomial Term
plot.bgnlm_model	Plot BGNLM Model
plot.fbms_predict	Plot FBMS Prediction Object
plot.gmjmcmc	Function to Plot GMJMCMC Results and Merged Results from merge.results
plot.gmjmcmc_merged	Plot a gmjmcmc_merged Run
plot.mjmcmc	Function to Plot GMJMCMC Results and Merged Results from merge.results
plot.mjmcmc_parallel	Plot an mjmcmc_parallel Run
pm05	pm05 Polynomial Term
pm1	pm1 Polynomial Term
pm2	pm2 Polynomial Term
predict.bgnlm_model	Predict Responses from a BGNLM Model
predict.gmjmcmc	Predict Using a GMJMCMC Result Object
predict.gmjmcmc_merged	Predict Using a Merged GMJMCMC Result Object
predict.gmjmcmc_parallel	Predict Using a GMJMCMC Result Object from a Parallel Run
predict.mjmcmc	Predict Using an MJMCMC Result Object
predict.mjmcmc_parallel	Predict Using an MJMCMC Result Object from a Parallel Run
predmean	Generic for Accessing Mean Predictions
predmean.fbms_predict	Access Mean Predictions
predquantiles	Generic for Accessing Quantile Predictions
predquantiles.fbms_predict	Access Quantile Predictions
print.bgnlm_model	Print BGNLM Model Object
print.fbms_predict	Print FBMS Prediction Object
print.feature	Print Method for \"feature\" Class
print.gmjmcmc	Print GMJMCMC Model Object
print.gmjmcmc_merged	Print GMJMCMC Merged Model Object
print.mjmcmc	Print MJMCMC Model Object
print.mjmcmc_parallel	Print MJMCMC Parallel Model Object

-- R --

relu	ReLU Function
residuals.bgnlm_model	Residuals for BGNLM Model
residuals.gmjmcmc	Residuals for GMJMCMC Model
residuals.gmjmcmc_merged	Residuals for GMJMCMC Merged Model
residuals.mjmcmc	Residuals for MJMCMC Model
residuals.mjmcmc_parallel	Residuals for MJMCMC Parallel Model
rmclapply	rmclapply: Cross-Platform mclapply/Forking Hack for Windows

-- S --

SangerData2	Gene Expression Data for Lymphoblastoid Cell Lines of 210 Unrelated HapMap individuals from four populations
set.transforms	Set the Transformations Option for GMJMCMC (Genetically Modified MJMCMC).
sigmoid	Sigmoid Function
sin_deg	Sine Function for Degrees
sqroot	Square Root Function
string.population	Function to Get a Character Representation of a List of Features
string.population.models	Function to Get a Character Representation of a List of Models
summary.fbms_predict	Summary of FBMS Prediction Object
summary.gmjmcmc	Function to Print a Quick Summary of the Results
summary.gmjmcmc_merged	Function to Print a Quick Summary of the Results
summary.mjmcmc	Function to Print a Quick Summary of the Results
summary.mjmcmc_parallel	Function to Print a Quick Summary of the Results

-- T --

troot

Cube Root Function