Package: PanelCount 2.0.1
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.zip(r-4.7)PanelCount_2.0.1.zip(r-4.6)PanelCount_2.0.1.zip(r-4.5)
PanelCount_2.0.1.tgz(r-4.6-x86_64)PanelCount_2.0.1.tgz(r-4.6-arm64)PanelCount_2.0.1.tgz(r-4.5-x86_64)PanelCount_2.0.1.tgz(r-4.5-arm64)
PanelCount_2.0.1.tar.gz(r-4.7-arm64)PanelCount_2.0.1.tar.gz(r-4.7-x86_64)PanelCount_2.0.1.tar.gz(r-4.6-arm64)PanelCount_2.0.1.tar.gz(r-4.6-x86_64)
PanelCount_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PanelCount/json (API)
| # Install 'PanelCount' in R: |
| install.packages('PanelCount', repos = c('https://jnpeng.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 from:801fa42a6c. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 138 | ||
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 222 | ||
| linux-release-arm64 | OK | 145 | ||
| linux-release-x86_64 | OK | 172 | ||
| macos-release-arm64 | OK | 95 | ||
| macos-release-x86_64 | OK | 186 | ||
| macos-oldrel-arm64 | OK | 96 | ||
| macos-oldrel-x86_64 | OK | 292 | ||
| windows-devel | OK | 112 | ||
| windows-release | OK | 94 | ||
| windows-oldrel | OK | 100 | ||
| wasm-release | OK | 144 |
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 |
