dppost_sim: Simulate from a DP Posterior

In sctyner/dprocsim: Distribution Estimation Accounting for Prior Uncertainty in a Bayesian Analysis

Description

Simulate from a DP Posterior

Usage

dppost_sim(M, F0, sticks, dat, ...)

Arguments

M	An integer. The precision parameter in a Dirichlet Process Prior.
F0	Either a function or a non-empty character string naming the function to be called.
sticks	An integer. The number of sticks to break when simulating from DP(M, F0) using the stick breaking construction.
dat	A vector. Observed data.
...	Named arguments to pass to to the centering function.

Examples

dat <- runif(25, 0, 1)
beta2 <- dppost_sim(dat, M = 4, F0 = "rbeta", sticks = 100, shape1 = 4, shape2 = 1)
dat <- runif(25, .75, 1.25)
norm2 <- dppost_sim(dat, M = 1, F0 = "rnorm", sticks = 100, mean = 1, sd = .01)

sctyner/dprocsim documentation built on June 30, 2019, 11:51 a.m.