predict_DP: Prediction for DP density estimation models.

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

Description

Prediction for DP density estimation models.

Usage

predict_DP(x, fit, K, pi = "pi", dens, params, R_params, samps = FALSE)

Arguments

x	Values for prediction.
fit	Stan DP fit.
K	Max cluster.
pi	Character. Name of stan variable corresponding to DP weights.
dens	Function. The density base function used.
params	Character vector. Names of base/kernel function parameters in Stan (e.g., mu, sigma for normal base functions).
R_params	Character vector. Names of corresponding parameters for the R equivalent (e.g., mean, sd in dnorm).

Value

Matrix of posterior mean, sd, .025, and .975 intervals.

Author(s)

Stephen R. Martin

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