simul_pois2: Simulated data set

In pogit: Bayesian Variable Selection for a Poisson-Logistic Model

Simulated data set

Description

The same simulation setup is used as in simul_pois1 but considers clustered observations. 10 regressors are generated, six of them continuous N(0,1)-variables and four binary with p(x_i)=0.5. The regression effects are set to beta = {2,1,0.6,0,0,1.2,0,0,0.4,-0.2,0.3}. To simulate clustering, it is assumed that each of C=10 clusters is formed of 30 subjects and 10 random intercepts are generated from a normal distribution with zero mean and standard deviation θ = 0.1.

Usage

data(simul_pois2)

Format

A data frame with 300 rows and the following 12 variables:

y

number of counts for each covariate pattern in each cluster

cID

cluster ID of each count

X.0

intercept

X.1, X.2, X.3, X.4, X.5, X.6, X.7, X.8, X.9, X.10

covariates

See Also

simul_pois1, poissonBvs

pogit documentation built on May 25, 2022, 5:05 p.m.