Package: qardlr 1.1.2

qardlr: Quantile Autoregressive Distributed Lag Model

Implements the Quantile Autoregressive Distributed Lag (QARDL) model of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.05.003>. Estimates quantile-specific long-run (beta), short-run autoregressive (phi), and impact (gamma) parameters. Features include BIC-based automatic lag selection, Error Correction Model (ECM) parameterization, Wald tests for parameter constancy across quantiles, rolling/recursive QARDL estimation, Monte Carlo simulation, and publication-ready output tables.

Authors:Muhammad Alkhalaf [aut, cre, cph], Jin Seo Cho [ctb], Tae-Hwan Kim [ctb], Yongcheol Shin [ctb]

qardlr_1.1.2.tar.gz
qardlr_1.1.2.zip(r-4.7-any)qardlr_1.1.2.zip(r-4.6-any)qardlr_1.1.2.zip(r-4.5-any)
qardlr_1.1.2.tgz(r-4.6-any)qardlr_1.1.2.tgz(r-4.5-any)
qardlr_1.1.2.tar.gz(r-4.7-any)qardlr_1.1.2.tar.gz(r-4.6-any)
qardlr_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
qardlr/json (API)

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

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

Datasets:

On CRAN:

Conda:

3.54 score 1 stars 2 scripts 328 downloads 7 exports 7 dependencies

Last updated from:2bb03fcec7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK118
source / vignettesOK390
linux-releaseOK150
macos-releaseOK195
macos-oldrelOK225
windows-develOK90
windows-releaseOK119
windows-oldrelOK85
wasm-releaseOK84

Exports:print_bic_gridqardlqardl_bic_selectqardl_rollingqardl_simulateqardl_tableqardl_wald

Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival