R: Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox

# Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox

## Documentation for package ‘EMJMCMC’ version 1.5.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

do.call.emjmcmc | A help function used by parall.gmj to run parallel chains of (R)(G)MJMCMC algorithms
erf | erf activation function
estimate.bas.glm | Obtaining Bayesian estimators of interest from a GLM model
estimate.bas.lm | Obtaining Bayesian estimators of interest from a LM model
estimate.bigm | Obtaining Bayesian estimators of interest from a GLM model
estimate.elnet | A test function to work with elastic networks in future, be omitted so far
estimate.gamma.cpen | Estimate marginal log posterior of a single BGNLM model
estimate.gamma.cpen_2 | Estimate marginal log posterior of a single BGNLM model with alternative defaults
estimate.glm | Obtaining Bayesian estimators of interest from a GLM model
estimate.logic.glm | Obtaining Bayesian estimators of interest from a GLM model in a logic regression context
estimate.logic.lm | Obtaining Bayesian estimators of interest from an LM model for the logic regression case
estimate.speedglm | Obtaining Bayesian estimators of interest from a GLM model
LogicRegr | A wrapper for running the Bayesian logic regression based inference in a easy to use way
m | Product function used in the deep regression context
parall.gmj | A function to run parallel chains of (R)(G)MJMCMC algorithms
parallelize | An example of user defined parallelization (cluster based) function for within an MJMCMC chain calculations (mclapply or lapply are used by default depending on specification and OS).
pinferunemjmcmc | A wrapper for running the GLMM, BLR, or DBRM based inference and predictions in an expert but rather easy to use way
runemjmcmc | Mode jumping MJMCMC or Genetically Modified Mode jumping MCMC or Reversible Genetically Modified Mode jumping MCMC for variable selection, Bayesian model averaging and feature engineering
sigmoid | sigmoid activation function
simplify.formula | A function parsing the formula into the vectors of character arrays of responses and covariates
simplifyposteriors | A function that ads up posteriors for the same expression written in different character form in different parallel runs of the algorithm (mainly for Logic Regression and Deep Regression contexts)
truncfactorial | Truncated factorial to avoid stack overflow for huge values