DiSSMod
1.0.0Fitting Sample Selection Models for Discrete Response Variables
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Overview
About
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.
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- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.9 min · r-oldrel-windows-x86_64
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Check history
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 43%
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Dependencies
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3 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (4)
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Listed in earlier versions (3)
no longer listed · 1.0.0
no longer listed · 1.0.0
no longer listed · 1.0.0
Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2019-04-15
- Total releases
- 1 / 7 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 217 KB / 2 files
- Download size
- 244 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet