mh_mcmc_innerC | R Documentation |
Inner part of MCMC algorithm
mh_mcmc_innerC(
startval,
iters,
burnin,
drawsd,
betmat,
m,
pi,
mu,
sig,
y,
x,
tau
)
startval |
starting value for the markov chain |
iters |
number of Monte Carlo iterations |
burnin |
number of first MC iteration to drop |
drawsd |
the standard deviation for the standard normal draws in the MH algorithm |
betmat |
matrix of QR parameters |
m |
number of mixture components for measurement error |
pi |
mixture probabilities |
mu |
means of mixture components |
sig |
standard deviations of mixture components |
y |
outcome value (for particular observation) |
x |
vector of covariates (for particular observation) |
tau |
which values QR's have been estimated for |
vector of MCMC draws of measurement error
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