Package: HSPOR 1.1.9

HSPOR: Hidden Smooth Polynomial Regression for Rupture Detection

Several functions that allow by different methods to infer a piecewise polynomial regression model under regularity constraints, namely continuity or differentiability of the link function. The implemented functions are either specific to data with two regimes, or generic for any number of regimes, which can be given by the user or learned by the algorithm. A paper describing all these methods will be submitted soon. The reference will be added to this file as soon as available.

Authors:Florine Greciet [aut, cre], Romain Azais [aut]

HSPOR_1.1.9.tar.gz
HSPOR_1.1.9.zip(r-4.7)HSPOR_1.1.9.zip(r-4.6)HSPOR_1.1.9.zip(r-4.5)
HSPOR_1.1.9.tgz(r-4.6-any)HSPOR_1.1.9.tgz(r-4.5-any)
HSPOR_1.1.9.tar.gz(r-4.7-any)HSPOR_1.1.9.tar.gz(r-4.6-any)
HSPOR_1.1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
HSPOR/json (API)

# Install 'HSPOR' in R:
install.packages('HSPOR', repos = c('https://florine-greciet.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 200 downloads 4 exports 54 dependencies

Last updated from:e1321dcf76. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK151
source / vignettesOK203
linux-release-x86_64OK151
macos-release-arm64OK199
macos-oldrel-arm64OK195
windows-develOK142
windows-releaseOK111
windows-oldrelOK119
wasm-releaseOK111

Exports:H2SPORH2SPOR_DynProgHKSPORHKSPOR_DynProg

Dependencies:base64encbslibcachemclicodetoolscommonmarkcorpcorcpp11digestdoParallelfarverfastmapfontawesomeforeachfsggplot2gluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMatrixmemoisemgcvmimenlmenpregfastotelpromisesR6rappdirsRColorBrewerRcpprlangS7sassscalessfsmiscshinyshinyjssourcetoolsvctrsviridisLitewesandersonwithrxtable