Package: PanelCount 2.0.1
Jing Peng
PanelCount: Random Effects and/or Sample Selection Models for Panel Count Data
A high performance package implementing random effects and/or sample selection models for panel count data. The details of the models are discussed in Peng and Van den Bulte (2023) <doi:10.2139/ssrn.2702053>.
Authors:
PanelCount_2.0.1.tar.gz
PanelCount_2.0.1.tar.gz(r-4.5-noble)PanelCount_2.0.1.tar.gz(r-4.4-noble)
PanelCount_2.0.1.tgz(r-4.4-emscripten)PanelCount_2.0.1.tgz(r-4.3-emscripten)
PanelCount.pdf |PanelCount.html✨
PanelCount/json (API)
| # Install 'PanelCount' in R: |
| install.packages('PanelCount', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- sim - Simulated dataset with self-selection at both individual and individual-time level
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:801fa42a6c. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 14 2024 |
| R-4.5-linux-x86_64 | OK | Oct 14 2024 |
Exports:PLN_REPoissonREpredict_ProbitRE_PLNREpredict_ProbitRE_PoissonREProbitREProbitRE_PLNREProbitRE_PoissonRE
Dependencies:MASSRcppRcppArmadillostatmod
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Panel Count Models with Random Effects and/or Sample Selection | PanelCount |
| A Poisson Lognormal Model with Random Effects | PLN_RE |
| A Poisson Model with Random Effects | PoissonRE |
| Predictions of ProbitRE_PLNRE model on new sample | predict_ProbitRE_PLNRE |
| Predictions of ProbitRE_PoissonRE model on new sample | predict_ProbitRE_PoissonRE |
| A Probit Model with Random Effects | ProbitRE |
| Poisson Lognormal Model with Random Effects and Sample Selection | ProbitRE_PLNRE |
| Poisson RE model with Sample Selection | ProbitRE_PoissonRE |
| Simulated dataset with self-selection at both individual and individual-time level | sim |