Package: QR.break 1.0.2

QR.break: Structural Breaks in Quantile Regression

Methods for detecting structural breaks, determining the number of breaks, and estimating break locations in linear quantile regression, using one or multiple quantiles, based on Qu (2008) and Oka and Qu (2011). Applicable to both time series and repeated cross-sectional data. The main function is rq.break(). . References for detailed theoretical and empirical explanations: . (1) Qu, Z. (2008). "Testing for Structural Change in Regression Quantiles." Journal of Econometrics, 146(1), 170-184 <doi:10.1016/j.jeconom.2008.08.006> . (2) Oka, T., and Qu, Z. (2011). "Estimating Structural Changes in Regression Quantiles." Journal of Econometrics, 162(2), 248-267 <doi:10.1016/j.jeconom.2011.01.005>.

Authors:Zhongjun Qu [aut, cre], Tatsushi Oka [aut], Samuel Messer [ctb]

QR.break_1.0.2.tar.gz
QR.break_1.0.2.zip(r-4.7)QR.break_1.0.2.zip(r-4.6)QR.break_1.0.2.zip(r-4.5)
QR.break_1.0.2.tgz(r-4.6-any)QR.break_1.0.2.tgz(r-4.5-any)
QR.break_1.0.2.tar.gz(r-4.7-any)QR.break_1.0.2.tar.gz(r-4.6-any)
QR.break_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
QR.break/json (API)
NEWS

# Install 'QR.break' in R:
install.packages('QR.break', repos = c('https://zhongjun-qu.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • driver - The Dataset for Young Drivers
  • gdp - US Real GDP Growth Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 stars 557 downloads 13 exports 7 dependencies

Last updated from:c01005bb25. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK131
linux-release-x86_64OK120
macos-release-arm64OK151
macos-oldrel-arm64OK200
windows-develOK103
windows-releaseOK100
windows-oldrelOK81
wasm-releaseOK116

Exports:brdateci.date.mdqdq.test.0vs1dq.test.lvsl_1gen.longres.surfacerq.breakrq.est.fullrq.est.regimesqsq.test.0vs1sq.test.lvsl_1

Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival