mh_mcmcC: mh_mcmcC
In bcallaway11/qrme: Quantile Regression with Measurement Error

mh_mcmcC

1	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