rMNB: Generating Multivariate Negative Binomial Data

In carrascojalmar/MNB: Diagnostic Tools for a Multivariate Negative Binomial Model

Generating Multivariate Negative Binomial Data

Description

It simulates a multivariate response variable, Y_ij, that is jth measurement taken on the ith subject or cluster, i = 1,...,n and j= 1,...,mi.

Usage

rMNB(n, mi, formula, p.fix)

Arguments

n	Length of the sample.
mi	replicates on the ith subject or cluster.
formula	The structure matrix of covariates of dimension n x p (in models that include an intercept x should contain a column of ones)
p.fix	Vector of theoretical regression parameters of length p.

Value

Generated response (Y_ij)

Author(s)

Jalmar M F Carrasco <[e-mail]>, Cristian M Villegas Lobos <[e-mail]> and Lizandra C Fabio <[e-mail]>

Examples

n <- 100
mi <- 3
x1 <- rep(rnorm(n,0,1),each=mi)
x2 <- rep(c(0,1),each=150)
p.fix <- c(10,2.0,0.5,1)

#generating a sample
sample.ex <- rMNB(n=n,mi=mi,formula=~x1+x2, p.fix=p.fix)
head(sample.ex)

carrascojalmar/MNB documentation built on May 15, 2022, 4:41 a.m.