chngpt: Estimation and Hypothesis Testing for Threshold Regression

Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models, with and without interaction terms. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) <doi:10.1186/s12859-017-1863-x>.

Version: 2020.10-12
Depends: R (≥ 3.5.0)
Imports: survival, splines, kyotil, boot, MASS, methods, lme4
Suggests: R.rsp, RUnit, mvtnorm
Published: 2020-10-14
Author: Youyi Fong [cre], Qianqian Chen [aut], Shuangcheng Hua [aut], Hyunju Son [aut], Adam Elder [aut], Tao Yang [aut], Zonglin He [aut], Simone Giannerini [aut]
Maintainer: Youyi Fong <youyifong at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: chngpt citation info
Materials: ChangeLog
CRAN checks: chngpt results

Downloads:

Reference manual: chngpt.pdf
Vignettes: Fitting Threshold Regression Models Using chngpt
Package source: chngpt_2020.10-12.tar.gz
Windows binaries: r-devel: chngpt_2020.10-12.zip, r-release: chngpt_2020.10-12.zip, r-oldrel: chngpt_2020.10-12.zip
macOS binaries: r-release: chngpt_2020.10-12.tgz, r-oldrel: chngpt_2020.10-12.tgz
Old sources: chngpt archive

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