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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
Version
0.9-12
0.9-10
0.9-09
0.9-08
0.9-07
0.9-06
0.9-05
0.9-04
0.9-03
Install
install.packages('Bhat')
Monthly Downloads
279
Version
0.9-12
License
GPL (>= 2)
Maintainer
Rafael Meza
Last Published
May 10th, 2022
Functions in Bhat (0.9-12)
Search all functions
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
