Package: xtpqardl 1.0.5

Muhammad Alkhalaf

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

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

Datasets:

On CRAN:

Conda:

2.18 score 343 downloads 3 exports 7 dependencies

Last updated from:ccc4542df6. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK178
linux-releaseOK123
windows-develOK76
windows-releaseOK85
wasm-releaseOK100

Exports:compute_irfwald_testxtpqardl

Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival