Package: SISIR 0.2.3
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:
SISIR_0.2.3.tar.gz
SISIR_0.2.3.tar.gz(r-4.5-noble)SISIR_0.2.3.tar.gz(r-4.4-noble)
SISIR_0.2.3.tgz(r-4.4-emscripten)SISIR_0.2.3.tgz(r-4.3-emscripten)
SISIR.pdf |SISIR.html✨
SISIR/json (API)
NEWS
| # Install 'SISIR' in R: |
| install.packages('SISIR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 months agofrom:0ec6a33a2a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 20 2024 |
| R-4.5-linux | OK | Aug 20 2024 |
Exports:extract_atprojectqualityridgeSIRsfcbSISIRsparseSIRtune.ridgeSIR
Dependencies:adjclustaricodeBHBiocParallelBorutacapushecliclustercodetoolscolorspaceCORElearncorpcorcpp11dendextenddoParalleldplyrellipseexpmfansifarverforeachformatRfutile.loggerfutile.optionsgenericsggplot2ggrepelglmnetgluegridExtragtableigraphisobanditeratorslabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmixOmicsmunsellnlmennetpillarpkgconfigplotrixplyrpurrrR6rangerrARPACKRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrpartrpart.plotRSpectrascalesshapesnowsparseMatrixStatsstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| sparse SIR | project project.sparseRes |
| Print ridgeRes object | print.ridgeRes ridgeRes ridgeRes-class summary.ridgeRes |
| ridge SIR | ridgeSIR |
| sfcb | sfcb |
| Methods for SFCB objects | extract_at extract_at.SFCB plot.SFCB print.SFCB quality quality.SFCB SFCB-class summary.SFCB |
| Interval Sparse SIR | SISIR |
| Print SISIRres object | print.SISIRres SISIRres summary.SISIRres |
| Print sparseRes object | print.sparseRes sparseRes sparseRes-class summary.sparseRes |
| sparse SIR | sparseSIR |
| Dataset "Truffles" | beta rainfall truffles |
| Cross-Validation for ridge SIR | tune.ridgeSIR |