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. 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) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <doi:10.1186/s12859-017-1863-x>.

Version: 2019.3-12
Depends: R (≥ 3.2.0)
Imports: survival, splines, kyotil, boot, MASS, Rcpp (≥ 0.12.14)
LinkingTo: RcppArmadillo, Rcpp
Suggests: R.rsp, RUnit, mvtnorm
Published: 2019-03-13
Author: Youyi Fong [cre], Tao Yang [aut], Zonglin He [aut], Adam Elder [aut]
Maintainer: Youyi Fong <youyifong at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: chngpt citation info
Materials: ChangeLog
CRAN checks: chngpt results


Reference manual: chngpt.pdf
Vignettes: Fitting Threshold Regression Models Using chngpt
Package source: chngpt_2019.3-12.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: chngpt_2019.3-12.tgz, r-oldrel: chngpt_2019.3-12.tgz
Old sources: chngpt archive

Reverse dependencies:

Reverse imports: pssmooth


Please use the canonical form to link to this page.