Description Usage Format See Also

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(α)/(1+\exp(α))**100.

1 |

A data frame with 512 rows and the following 12 variables:

`y`

number of successes for each covariate pattern

`N`

number of trials for each covariate pattern

`X.0`

intercept

`X.1`

,`X.2`

,`X.3`

,`X.4`

,`X.5`

,`X.6`

,`X.7`

,`X.8`

,`X.9`

binary covariates

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