generate_mmrr: Generate data from mixed-type multivariate response...

Description Usage Arguments Value

View source: R/generate-data.R

Description

Generate data from mixed-type multivariate response regression model

Usage

1
generate_mmrr(X, Beta, R, type, psi)

Arguments

X

An nr x p matrix of predictors. The first r elements are predictors for the r responses in the first independent response vector, and so on.

Beta

A p-vector of latent regression coefficients

R

An r x r square root of the covariance matrix of the latent vectors. Should be such that t(R) %*% R = solve(Omega).

type

An r-vector indicating response types: 1 means normal, 2 means Bernoulli, and 3 means Poisson.

psi

Vector of variance parameters, ignored for Bernoulli responses. For Poisson, generates Y| W as psi * Poi(exp(W) / psi)

Value

An n x r matrix of responses.


koekvall/lvmmr documentation built on Dec. 13, 2021, 2:35 p.m.