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! | ||
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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 |
| imports | MASS , matrixcalc , psych , sfsmisc |
| depends | R (>= 2.10) |
| Contributors | Adelchi Azzalini, Sang Lee, Hyoung-Moon Kim |
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