simul_pois2 | R Documentation |
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.
data(simul_pois2)
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
simul_pois1
, poissonBvs
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