rtruncated {LearnBayes} | R Documentation |
Simulates a sample from a truncated distribution where the functions for the cdf and inverse cdf are available.
rtruncated(n,lo,hi,pf,qf,...)
n |
size of simulated sample |
lo |
low truncation point |
hi |
high truncation point |
pf |
function containing cdf of untruncated distribution |
qf |
function containing inverse cdf of untruncated distribution |
... |
parameters used in the functions pf and qf |
vector of simulated draws from distribution
Jim Albert
# want a sample of 10 from normal(2, 1) distribution truncated below by 3
n=10
lo=3
hi=Inf
rtruncated(n,lo,hi,pnorm,qnorm,mean=2,sd=1)
# want a sample of 20 from beta(2, 5) distribution truncated to (.3, .8)
n=20
lo=0.3
hi=0.8
rtruncated(n,lo,hi,pbeta,qbeta,2,5)