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
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Details

Type Package
Date 2019-04-15
License GPL-2
Encoding UTF-8
LazyData true
RoxygenNote 6.1.1
NeedsCompilation no
Packaged 2019-04-15 10:14:28 UTC; user
Repository CRAN
Date/Publication 2019-04-15 10:42:40 UTC

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