simulate_DP: Generate Truncated Dirichlet Process Mixture.

In MIRES: Measurement Invariance Assessment Using Random Effects Models and Shrinkage

Description

Generate Truncated Dirichlet Process Mixture.

Usage

simulate_DP(N, K, param, alpha, f)

Arguments

N	Number of data points.
K	Max cluster.
param	Data.frame of parameters corresponding to d and r distribution functions. (E.g., data.frame(mean = rnorm(50), sd = abs(rnorm(50, 0, .5))))
alpha	Numeric. The alpha parameter to the DP.
f	Character. Root name of base or kernel function (e.g., "norm", "exp").

Value

List of data (y), weights (pi), params (param), and the true density function (d).

Author(s)

Stephen Martin

MIRES documentation built on Feb. 22, 2021, 5:10 p.m.