View source: R/mcmcTwalk_helperFunctions.R
propFun | R Documentation |
Helper function to create proposal
propFun(case, Npar, pn1, x, x2, beta = NULL, aw = NULL)
case |
Type of Twalk move. Either "walk", "traverse", "hop" or "blow" |
Npar |
number of parameters |
pn1 |
Probability determining the number of parameters that are changed. |
x |
parameter vector of chain 1 |
x2 |
parameter vector of chain 2 |
beta |
parameter for "traverse" move proposals. |
aw |
"walk" move proposal parameter. |
Christen, J. Andres, and Colin Fox. "A general purpose sampling algorithm for continuous distributions (the t-walk)." Bayesian Analysis 5.2 (2010): 263-281.
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