Package: hdthreshold 1.0.0

Georg Keilbar

hdthreshold: Inference on Many Jumps in Nonparametric Panel Regression Models

Provides uniform testing procedures for existence and heterogeneity of threshold effects in high-dimensional nonparametric panel regression models. The package accompanies the paper Chen, Keilbar, Su and Wang (2023) "Inference on many jumps in nonparametric panel regression models". arXiv preprint <doi:10.48550/arXiv.2312.01162>.

Authors:Georg Keilbar [aut, cre, cph], Likai Chen [ctb], Liangjun Su [ctb], Weining Wang [ctb]

hdthreshold_1.0.0.tar.gz
hdthreshold_1.0.0.zip(r-4.7-any)hdthreshold_1.0.0.zip(r-4.6-any)
hdthreshold_1.0.0.tar.gz(r-4.7-any)hdthreshold_1.0.0.tar.gz(r-4.6-any)
hdthreshold_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hdthreshold/json (API)

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

On CRAN:

Conda:

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

1.00 score 255 downloads 11 exports 21 dependencies

Last updated from:6e430ded32. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK130
source / vignettesOK193
linux-releaseOK108
windows-develOK75
windows-releaseOK70
wasm-releaseOK131

Exports:KMAinf_normalsimulation.derivativesimulation.heterosimulation.pooledsimulation.thresholdsimulation.unknownthreshold.derivative.testthreshold.examplethreshold.heterogeneity.testthreshold.test

Dependencies:clicpp11farverfdrtoolggplot2gluegtableisobandKernSmoothlabelinglifecycleMASSR6RColorBrewerrdrobustrlangS7scalesvctrsviridisLitewithr