Bhat (version 0.9-12)

General Likelihood Exploration

Description

Provides functions for Maximum Likelihood Estimation, Markov Chain Monte Carlo, finding confidence intervals. The implementation is heavily based on the original Fortran source code translated to R.

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Version

Install

install.packages('Bhat')

Monthly Downloads

323

Version

0.9-12

License

GPL (>= 2)

Maintainer

Rafael Meza

Last Published

May 10th, 2022

Functions in Bhat (0.9-12)

dfp

Function minimization with box-constraints

ftrf

Generalized logit transform

global

Random search for a global function minimum

newton

Function minimization with box-constraints

plkhci

Profile-likelihood based confidence intervals

logit.hessian

Hessian (curvature matrix)

mymcmc

Adaptive Multivariate MCMC sampler

dqstep

step size generator

btrf

Generalized inverse-logit transform

Bhat-package

Bhat: General likelihood exploration