simul_pois1


The data set <code>simul_pois1</code> contains 300 simulated Poisson counts. 
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
<code>beta = {2,1,0.6,0,0,1.2,0,0,0.4,-0.2,0.3}</code>.


datasets

Bayesian variable selection for regression models of under-reported
count data as well as for (overdispersed) Poisson, negative binomal and
binomial logit regression models using spike and slab priors.

Michaela Dvorzak

pogit

Bayesian Variable Selection for a Poisson-Logistic Model

simul_pois1 function

A data frame with 300 rows and the following 12 variables: 
<dl>
 <dt><code>y</code></dt><dd>number of counts for each covariate pattern</dd> <dt><code>X.0</code></dt><dd>intercept</dd> <dt><code>X.1</code>, <code>X.2</code>, <code>X.3</code>, <code>X.4</code>, <code>X.5</code>, <code>X.6</code>, <code>X.7</code>, <code>X.8</code>, <code>X.9</code>, <code>X.10</code></dt><dd>covariates</dd> </dl>

simul_pois1: Simulated data set

Description

Usage

Arguments

Format

See Also