M {BayesianTools} | R Documentation |
The Metropolis Algorithm
Description
The Metropolis Algorithm (Metropolis et al. 1953)
Usage
M(
startValue = NULL,
iterations = 10000,
nBI = 0,
parmin = NULL,
parmax = NULL,
f = 1,
FUN,
consoleUpdates = 1000
)
Arguments
startValue |
vector with the start values for the algorithm. Can be NULL if FUN is of class BayesianSetup. In this case startValues are sampled from the prior. |
iterations |
iterations to run |
nBI |
number of burnin |
parmin |
minimum values for the parameter vector or NULL if FUN is of class BayesianSetup |
parmax |
maximum values for the parameter vector or NULL if FUN is of class BayesianSetup |
f |
scaling factor |
FUN |
function to be sampled from or object of class bayesianSetup |
consoleUpdates |
interger, determines the frequency with which sampler progress is printed to the console |
Author(s)
Francesco Minunno
References
Metropolis, Nicholas, et al. "Equation of state calculations by fast computing machines." The journal of chemical physics 21.6 (1953): 1087-1092.
[Package BayesianTools version 0.1.8 Index]