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distreg draws randomly from the density of F(yo) at a threshold value yo
distreg
distreg(thresh, data0, MH = "IndepMH", ...)
threshold value that is used to binarise the continuous outcome variable
original data set with the first column being the continuous outcome variable
metropolis-hastings algorithm to use; default:"IndepMH", alternative "RWMH"
any additional inputs to pass to the MH algorithm
fitob a vector of fitted values corresponding to the distribution at threshold thresh
# NOT RUN { data0=faithful[,c(2,1)]; qnt<-quantile(data0[,1],0.25) distob<- distreg(qnt,data0,iter = 102, burn = 2); plot(density(distob,.1),main="Kernel density plot") # }
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