Package: xtpqardl 1.0.5

xtpqardl: Panel Quantile Autoregressive Distributed Lag Model

Estimation of Panel Quantile Autoregressive Distributed Lag (PQARDL) models that combine panel ARDL methodology with quantile regression. Supports Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators across multiple quantiles. Computes long-run cointegrating parameters, error correction term speed of adjustment, half-life of adjustment, and performs Wald tests for parameter equality across quantiles. Based on the econometric frameworks of Pesaran, Shin, and Smith (1999) <doi:10.1080/01621459.1999.10474156>, Cho, Kim, and Shin (2015) <doi:10.1016/j.jeconom.2015.05.003>, and Bildirici and Kayikci (2022).

Authors:Muhammad Alkhalaf [aut, cre, cph]

xtpqardl_1.0.5.tar.gz
xtpqardl_1.0.5.zip(r-4.7-any)xtpqardl_1.0.5.zip(r-4.6-any)xtpqardl_1.0.5.zip(r-4.5-any)
xtpqardl_1.0.5.tgz(r-4.6-any)xtpqardl_1.0.5.tgz(r-4.5-any)
xtpqardl_1.0.5.tar.gz(r-4.7-any)xtpqardl_1.0.5.tar.gz(r-4.6-any)
xtpqardl_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
xtpqardl/json (API)

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

Bug tracker:https://github.com/muhammedalkhalaf/xtpqardl/issues

Datasets:

On CRAN:

Conda:

3.48 score 1 stars 348 downloads 3 exports 7 dependencies

Last updated from:6d30336185. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK112
source / vignettesOK150
linux-releaseOK118
macos-releaseOK105
macos-oldrelOK113
windows-develOK84
windows-releaseOK78
windows-oldrelOK87
wasm-releaseOK89

Exports:compute_irfwald_testxtpqardl

Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival