Package: DPTM 1.6.0
Bai Hujie
DPTM: Dynamic Panel Multiple Threshold Model with Fixed Effects
Compute the fixed effects dynamic panel threshold model suggested by Ramírez-Rondán (2020) <doi:10.1080/07474938.2019.1624401>, and dynamic panel linear model suggested by Hsiao et al. (2002) <doi:10.1016/S0304-4076(01)00143-9>, where maximum likelihood type estimators are used. Multiple threshold estimation based on Markov Chain Monte Carlo (MCMC) is allowed, and model selection of linear model, threshold model and multiple threshold model is also allowed.
Authors:
DPTM_1.6.0.tar.gz
DPTM_1.6.0.tar.gz(r-4.5-noble)DPTM_1.6.0.tar.gz(r-4.4-noble)
DPTM_1.6.0.tgz(r-4.4-emscripten)DPTM_1.6.0.tgz(r-4.3-emscripten)
DPTM.pdf |DPTM.html✨
DPTM/json (API)
NEWS
| # Install 'DPTM' in R: |
| install.packages('DPTM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hujiebai/dptm/issues
- data - A simulation data used for examples
Last updated 28 days agofrom:0339f29188. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 29 2024 |
| R-4.5-linux-x86_64 | OK | Nov 29 2024 |
Exports:DPMLDPTSThreshold_Test
Dependencies:apeaskpassbase64encBayesianToolsbootbridgesamplingBrobdingnagbslibcachemcallrclicodacodetoolscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tableDHARMadigestdoParalleldplyrellipseemulatorevaluateexpmfansifarverfastmapfilelockfontawesomeforeachfsgapgap.datasetsgenericsggplot2gluegmmgtablehighrhmshtmltoolshtmlwidgetshttpuvhttrIDPmiscisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4lmtestmagrittrMASSMatrixmemoisemgcvmimeminqamsmmunsellmvtnormnlmenloptrnumDerivopensslparabarpillarpkgconfigplotlyplyrprettyunitsprocessxprogresspromisespspurrrqgamR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackrlangrmarkdownsandwichsassscalesshinysourcetoolsstringistringrsurvivalsystibbletidyrtidyselecttinytextmvtnormutf8vctrsviridisLitewithrxfunxtableyamlzoo
