mh_mcmcC | R Documentation |
mh_mcmcC
mh_mcmcC(Y, X, startval, iters, burnin, drawsd, betmat, m, pi, mu, sig, tau)
Y |
vector of outcomes |
X |
matrix of covariates |
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 |
tau |
which values QR's have been estimated for |
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