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:Jing Peng

PanelCount_2.0.1.tar.gz
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PanelCount.pdf |PanelCount.html✨
PanelCount/json (API)

# Install 'PanelCount' in R:
install.packages('PanelCount', repos = c('https://jnpeng.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • sim - Simulated dataset with self-selection at both individual and individual-time level

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.00 score 197 downloads 7 exports 4 dependencies

Last updated 2 years agofrom:801fa42a6c. Checks:10 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-win-x86_64OKJan 27 2025
R-4.5-mac-x86_64OKJan 27 2025
R-4.5-mac-aarch64OKJan 27 2025
R-4.5-linux-x86_64OKJan 27 2025
R-4.4-win-x86_64OKJan 27 2025
R-4.4-mac-x86_64OKJan 27 2025
R-4.4-mac-aarch64OKJan 27 2025
R-4.3-win-x86_64OKJan 27 2025
R-4.3-mac-x86_64OKJan 27 2025

Exports:PLN_REPoissonREpredict_ProbitRE_PLNREpredict_ProbitRE_PoissonREProbitREProbitRE_PLNREProbitRE_PoissonRE

Dependencies:MASSRcppRcppArmadillostatmod

Panel Count Models with Random Effects and Sample Selection

Jing Peng

Rendered fromvignette.Rmdusingknitr::rmarkdownon Jan 27 2025.

Last update: 2023-08-21
Started: 2022-10-07