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partDSA  

Partitioning Using Deletion, Substitution, and Addition Moves
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("partDSA", "0.9.14")



Attach the package and use:
library("partDSA")
Maintained by
Annette Molinaro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-06
Latest Update: 2017-01-05
Description:
A novel tool for generating a piecewise constant estimation list of increasingly complex predictors based on an intensive and comprehensive search over the entire covariate space.
How to cite:
Annette Molinaro (2013). partDSA: Partitioning Using Deletion, Substitution, and Addition Moves. R package version 0.9.14, https://cran.r-project.org/web/packages/partDSA. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:39), 0.8.5 (2013-02-06 08:08), 0.8.6 (2013-09-26 23:40), 0.9.5 (2014-03-05 19:01), 0.9.10 (2015-02-19 00:22), 0.9.14 (2017-01-05 10:40)
Other packages that cited partDSA R package
View partDSA citation profile
Other R packages that partDSA depends, imports, suggests or enhances
Complete documentation for partDSA
Functions, R codes and Examples using the partDSA R package
Some associated functions: dumpDSA . loglevel . partDSA . predict.partDSA . print.partDSA . showDSA . trim . 
Some associated R codes: addon.R . algAlone2-Leafy.R . algAlone2.R . code.2-Survival.R . code.2.R . control.R . cv_boosting.R . delete.R . logging.R . main-Leafy.R . main.R . newfunctions-Leafy.R . newfunctions-Survival.R . newfunctions.R . run_boosting.R . showDSA.R . subst.R .  Full partDSA package functions and examples
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