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DiSSMod  

Fitting Sample Selection Models for Discrete Response Variables
View on CRAN: Click here


Download and install DiSSMod package within the R console
Install from CRAN:
install.packages("DiSSMod")

Install from Github:
library("remotes")
install_github("cran/DiSSMod")

Install by package version:
library("remotes")
install_version("DiSSMod", "1.0.0")



Attach the package and use:
library("DiSSMod")
Maintained by
Sang Kyu Lee
[Scholar Profile | Author Map]
First Published: 2019-04-15
Latest Update: 2019-04-15
Description:
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.
How to cite:
Sang Kyu Lee (2019). DiSSMod: Fitting Sample Selection Models for Discrete Response Variables. R package version 1.0.0, https://cran.r-project.org/web/packages/DiSSMod. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited DiSSMod R package
View DiSSMod citation profile
Other R packages that DiSSMod depends, imports, suggests or enhances
Complete documentation for DiSSMod
Functions, R codes and Examples using the DiSSMod R package
Some associated functions: CreditMDR . DiSSMod . DoctorRWM . coef.DiSSMod . confint.DiSSMod . plot.DiSSMod . summary.DiSSMod . 
Some associated R codes: DiSSMod.R . NRBin_fun_logis.R . NRPois_fun_logistic.R . NRnbinom_fun_logis.R .  Full DiSSMod package functions and examples
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