Package: SISIR 0.2.5

Nathalie Vialaneix

SISIR: Select Intervals Suited for Functional Regression

Interval fusion and selection procedures for regression with functional inputs. Methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in <doi:10.1007/s11222-018-9806-6> (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in <doi:10.1002/sam.11705>.

Authors:Victor Picheny [aut], Remi Servien [aut], Nathalie Vialaneix [aut, cre]

SISIR_0.2.5.tar.gz
SISIR_0.2.5.tar.gz(r-4.7-any)SISIR_0.2.5.tar.gz(r-4.6-any)
SISIR_0.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
SISIR/json (API)

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

On CRAN:

Conda:

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

2.00 score 8 scripts 515 downloads 8 exports 94 dependencies

Last updated from:2dff193fec. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK238
source / vignettesOK266
linux-release-x86_64OK272
wasm-releaseOK206

Exports:extract_atprojectqualityridgeSIRsfcbSISIRsparseSIRtune.ridgeSIR

Dependencies:adjclustaricodebase64encBHBiocParallelBorutabslibcachemcapusheclicodetoolscorpcorcpp11dendextenddigestdoParalleldplyrellipseevaluateexpmfarverfastmapfontawesomeforeachformatRfrufsfutile.loggerfutile.optionsgenericsggplot2ggrepelglmnetgluegridExtragtablehighrhtmltoolshtmlwidgetsigraphisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimemixOmicspillarpkgconfigplyrpurrrR6rangerrappdirsrARPACKRColorBrewerRcppRcppArmadilloRcppEigenreshape2rglrlangrmarkdownRSpectraS7sassscalesshapesnowsparseMatrixStatsstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
sparse SIRproject project.sparseRes
Print ridgeRes objectprint.ridgeRes ridgeRes ridgeRes-class summary.ridgeRes
ridge SIRridgeSIR
sfcbsfcb
Methods for SFCB objectsextract_at extract_at.SFCB plot.SFCB print.SFCB quality quality.SFCB SFCB-class summary.SFCB
Interval Sparse SIRSISIR
Print SISIRres objectprint.SISIRres SISIRres summary.SISIRres
Print sparseRes objectprint.sparseRes sparseRes sparseRes-class summary.sparseRes
sparse SIRsparseSIR
Dataset "Truffles"beta rainfall truffles
Cross-Validation for ridge SIRtune.ridgeSIR