# DiSSMod v1.0.0

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## Fitting Sample Selection Models for Discrete Response Variables

Tools to fit sample selection models in case of discrete response variables, through a parametric formulation which represents a natural extension of the well-known Heckman selection model are provided in the package. The response variable can be of Bernoulli, Poisson or Negative Binomial type. The sample selection mechanism allows to choose among a Normal, Logistic or Gumbel distribution.

## Functions in DiSSMod

 Name Description summary.DiSSMod Summarizing Discrete Sample Selection Model Fits confint.DiSSMod Getting Confidence Intervals for Parameters of Discrete Sample Selection Model Fits plot.DiSSMod Relative Log Likelihood Plot for Discrete Sample Selection Model Fits coef.DiSSMod Getting Coefficients of Discrete Sample Selection Model Fits CreditMDR Credit cards derogatory reports data DoctorRWM German doctor first visits data DiSSMod Fitting Sample Selection Models for Discrete Response Variables No Results!