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-any)HSPOR_1.1.9.zip(r-4.6-any)HSPOR_1.1.9.zip(r-4.5-any)
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✨
DESCRIPTION
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 213 downloads 4 exports 54 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK190
source / vignettesOK192
linux-releaseOK152
macos-releaseOK127
macos-oldrelOK173
windows-develOK103
windows-releaseOK102
windows-oldrelOK116
wasm-releaseOK140

Exports:H2SPORH2SPOR_DynProgHKSPORHKSPOR_DynProg

Dependencies:base64encbslibcachemclicodetoolscommonmarkcorpcorcpp11digestdoParallelfarverfastmapfontawesomeforeachfsggplot2gluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMatrixmemoisemgcvmimenlmenpregfastotelpromisesR6rappdirsRColorBrewerRcpprlangS7sassscalessfsmiscshinyshinyjssourcetoolsvctrsviridisLitewesandersonwithrxtable