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SISIR  

Select Intervals Suited for Functional Regression
View on CRAN: Click here


Download and install SISIR package within the R console
Install from CRAN:
install.packages("SISIR")

Install from Github:
library("remotes")
install_github("cran/SISIR")

Install by package version:
library("remotes")
install_version("SISIR", "0.2.3")



Attach the package and use:
library("SISIR")
Maintained by
Nathalie Vialaneix
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-04
Latest Update: 2023-03-26
Description:
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.
How to cite:
Nathalie Vialaneix (2016). SISIR: Select Intervals Suited for Functional Regression. R package version 0.2.3, https://cran.r-project.org/web/packages/SISIR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-1 (2020-06-05 12:00), 0.1-2 (2021-10-05 11:20), 0.1-3 (2022-02-20 15:20), 0.1 (2016-12-04 17:29), 0.2.0 (2022-10-28 09:25), 0.2.1 (2023-03-12 14:50), 0.2.2 (2023-03-26 19:20)
Other packages that cited SISIR R package
View SISIR citation profile
Other R packages that SISIR depends, imports, suggests or enhances
Complete documentation for SISIR
Functions, R codes and Examples using the SISIR R package
Some associated functions: SISIR . SISIRres . project . ridgeRes . ridgeSIR . sfcb . sparseRes . sparseSIR . truffles . tune.ridgeSIR . 
Some associated R codes: SFCB.R . data.R . group_methods.R . helpers_sfcb.R . ridgeSIR.R . selection_methods.R . sparseSIR.R . summary_methods.R .  Full SISIR package functions and examples
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