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xtpqardl

1.0.1

Panel Quantile Autoregressive Distributed Lag Model

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Overview

About
Maintained by Muhammad AlkhalafFirst published 2026-03-121 releasesCRAN page ↗

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.2015.02.030>, and Bildirici and Kayikci (2022) <doi:10.1016/j.energy.2022.124303>.

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  • OK2026-03-13
    3 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

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2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
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Code

2,124Lines of code
3Exported functions

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Release timeline

1 releases. Pick two to compare their code metrics; R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2026-03-12 · current release

Package metadata

First published
2026-03-12
Total releases
1 / 1 yrs
License
GPL-3 OSI
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