HI: Simulation from distributions supported by nested hyperplanes

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Simulation from distributions supported by nested hyperplanes, using the algorithm described in Petris & Tardella, "A geometric approach to transdimensional Markov chain Monte Carlo", Canadian Journal of Statistics, v.31, n.4, (2003). Also random direction multivariate Adaptive Rejection Metropolis Sampling.

Author
Giovanni Petris <GPetris@Uark.edu> and Luca Tardella <luca.tardella@@uniroma1.it>; original C code for ARMS by Wally Gilks.
Date of publication
2013-03-26 17:04:14
Maintainer
Giovanni Petris <GPetris@Uark.edu>
License
GPL (>= 2)
Version
0.4

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Man pages

arms
Function to perform Adaptive Rejection Metropolis Sampling
convex.bounds
Function to find the boundaries of a convex set
rballunif
Function to generate a random vector uniformly distributed in...
trans.dens
Functions for transdimensional MCMC

Files in this package

HI
HI/MD5
HI/man
HI/man/arms.Rd
HI/man/rballunif.Rd
HI/man/convex.bounds.Rd
HI/man/trans.dens.Rd
HI/src
HI/src/arms-R.c
HI/R
HI/R/trans.dens.R
HI/R/arms.R
HI/DESCRIPTION
HI/README
HI/NAMESPACE