SemiParSampleSel
1.5Semi-Parametric Sample Selection Modelling with Continuous or Discrete Response
Overview
Routine for fitting continuous or discrete response copula sample selection models with semi-parametric predictors, including linear and nonlinear effects.
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Documentation
- Examples that run
- 100%
- Documented parameters
- 76%
- Return-value docs
- 25%
- References docs
- 25%
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Code & Tests
Datasets
People & History
8 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2019-12-05request of maintainer
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.52017-05-17 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.42016-08-01 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 1.32015-12-12 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 1.22015-01-21 · diff ↗
- 1.1-12014-08-27 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 1.12014-03-11 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 1.02013-02-26 · diff ↗
Show 2 earlier events
- 0.12012-04-25
- RR 2.15.0 released · 2012-03-30
Package metadata
- Total releases
- 8
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.1.1
- Bundled data
- 9.0 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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