Bayesian MCMC estimation of moment condition models by the Chib, Shin and Simoni (2018) method

Documentation for package ‘betel’ version 1.0

betel-package	Bayesian MCMC estimation of moment condition models by the Chib, Shin and Simoni (2018) method
alphaq	alphaq is the numerator of C-J (2001) (psi to psist)
bayesetel	bayesetel MCMC estimation of moment condition models by the Chib, Shin and Simoni (2018) method
betel	Bayesian MCMC estimation of moment condition models by the Chib, Shin and Simoni (2018) method
dmvt1	dmvt1 calculates the density of MVt on the log-scale
dt1	dt1 calculates the log density of the independent student t densities
etel	etel calculates the log etel function
etelneg	etelneg calculates the log etel function
makeproposal	makeproposal finds the proposal parameters of psi
mhstep	mhstep calculates the MH alpha
priorpsi	priorpsi calculates the log prior density (independent student-t densities)
psigen	psigen simulates psi by one block tailored MH
rmvn	rmvn produces a sample of draws from MVN
rmvt	rmvt produces a sample of draws from MVT
rndblocks	rndblocks generates random blocks
rst	rst calculates the denominator of C-J (2001)
summarymcmc	summarymcmc produces summary given MCMC draws