Boltzmann Machines with MM Algorithms

Documentation for package ‘BoltzMM’ version 0.1.5

allpfvbm	Probability mass function of a fully-visible Boltzmann machine evaluated for all possible vectors.
BoltzMM	BoltzMM: A package for probability computation, data generation, and model estimation of fully-visible Boltzmann machines.
fitfvbm	Maximum pseudolikelihood estimation of a fully-visible Boltzmann machine.
fvbmcov	Sandwich estimator of the covariance matrix for a fitted fully-visible Boltzmann machine.
fvbmHess	Hessian of the log-pseudolikelihood function for a fitted fully-visible Boltzmann machine.
fvbmpartiald	Partial derivatives of the log-pseudolikelihood function for a fitted fully-visible Boltzmann machine.
fvbmstderr	Standard errors for the parameter elements of a fitted fully-visible Boltzmann machine.
fvbmtests	Hypothesis testing for a fully-visible Boltzmann machine.
log_pl_calc	Compute the log pseudolikelihood
marginpfvbm	Marginal probability function for a fully-visible Boltzmann machine.
pfvbm	Probability mass function of a fully-visible Boltzmann machine evaluated for an individual vector.
rfvbm	Random data generation from a fully-visible Boltzmann machine.
senate	Senate voting data from the 45th Australian Parliament.