The data set simul_binomial contains simulated binomial data with
9 binary covariates. The design matrix is built by computing all 2^9 possible
0/1 combinations. The regression effects are set to
alpha = {-0.5,0.2,-0.15,0.1,-1.1,0,0,1.2,-0.1,0.3}.
The number of trials N are simulated from a Poisson distribution with
parameter \(\exp(\alpha)/(1+\exp(\alpha))\)*100.
data(simul_binomial)A data frame with 512 rows and the following 12 variables:
ynumber of successes for each covariate pattern
Nnumber of trials for each covariate pattern
X.0intercept
X.1, X.2, X.3, X.4, X.5, X.6, X.7, X.8, X.9binary covariates