dppost_sim2: Simulate many Distributions from DP Posteriors

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

Description

Simulate many Distributions from DP Posteriors

Usage

dppost_sim2(M, F0, sticks, dat, N, ...)

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.
N	An integer. The number of distributions to simulate for each value of M.
...	Named arguments to pass to to the centering function.

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