Package: DPTM 3.0.2

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 thresholds 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:Bai Hujie [aut, cre, cph]

DPTM_3.0.2.tar.gz
DPTM_3.0.2.zip(r-4.6)DPTM_3.0.2.zip(r-4.5)
DPTM_3.0.2.tgz(r-4.6-x86_64)DPTM_3.0.2.tgz(r-4.6-arm64)DPTM_3.0.2.tgz(r-4.5-x86_64)DPTM_3.0.2.tgz(r-4.5-arm64)
DPTM_3.0.2.tar.gz(r-4.6-arm64)DPTM_3.0.2.tar.gz(r-4.6-x86_64)DPTM_3.0.2.tar.gz(r-4.5-arm64)DPTM_3.0.2.tar.gz(r-4.5-x86_64)
DPTM_3.0.2.tgz(r-4.5-emscripten)
DPTM.pdf |DPTM.html
DPTM/json (API)
NEWS

# Install 'DPTM' in R:
install.packages('DPTM', repos = c('https://hujiebai.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hujiebai/dptm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

dynamicpanel-datathresholdscpp

3.00 score 2 stars 171 downloads 3 exports 118 dependencies

Last updated from:800c742c18. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK184
source / vignettesOK205
linux-release-arm64OK164
linux-release-x86_64OK176
macos-devel-arm64OK168
macos-devel-x86_64OK353
macos-release-arm64OK241
macos-release-x86_64OK288
windows-develOK140
windows-releaseOK127
windows-oldrelOK193
wasm-releaseOK154

Exports:DPMLDPTSThreshold_Test

Dependencies:apeaskpassbase64encBayesianToolsbootbridgesamplingBrobdingnagbslibcachemcallrclicodacodetoolscommonmarkcpp11crayoncrosstalkcurldata.tableDHARMadigestdoParalleldplyrellipseemulatorevaluateexpmfarverfastmapfilelockfontawesomeforeachfsgapgap.datasetsgenericsggplot2gluegmmgtablehighrhmshtmltoolshtmlwidgetshttpuvhttrIDPmiscisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4lmtestmagrittrMASSMatrixmemoisemgcvmimeminqamsmmvtnormnlmenloptrnumDerivopensslotelparabarpillarpkgconfigplotlyplyrprettyunitsprocessxprogresspromisespspurrrqgamR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownS7sandwichsassscalesshinysourcetoolsstringistringrsurvivalsystibbletidyrtidyselecttinytextmvtnormutf8vctrsviridisLitewithrxfunxtableyamlzoo