Package: PanelTM 1.1
F. Marta L. Di Lascio
PanelTM: Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection
Estimation of two- and three-way dynamic panel threshold regression models (Di Lascio and Perazzini (2024) <https://repec.unibz.it/bemps104.pdf>; Di Lascio and Perazzini (2022, ISBN:978-88-9193-231-0); Seo and Shin (2016) <doi:10.1016/j.jeconom.2016.03.005>) through the generalized method of moments based on the first difference transformation and the use of instrumental variables. The models can be used to find a change point detection in the time series. In addition, random number generation is also implemented.
Authors:
PanelTM_1.1.tar.gz
PanelTM_1.1.zip(r-4.7-any)PanelTM_1.1.zip(r-4.6-any)
PanelTM_1.1.tar.gz(r-4.7-any)PanelTM_1.1.tar.gz(r-4.6-any)
PanelTM_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PanelTM/json (API)
| # Install 'PanelTM' in R: |
| install.packages('PanelTM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- banana - Biompedance measurements on bananas.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e5c3c3ffab. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 117 | ||
| source / vignettes | OK | 264 | ||
| linux-release | OK | 108 | ||
| windows-devel | OK | 61 | ||
| windows-release | OK | 72 | ||
| wasm-release | OK | 97 |
