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SplitSoftening  

Softening Splits in Decision Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SplitSoftening", "2.1-1")



Attach the package and use:
library("SplitSoftening")
Maintained by
Jakub Dvorak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-19
Latest Update: 2021-10-08
Description:
Allows to produce and use classification trees with soft (probability) splits, as described in: Dvořák, J. (2019), <doi:10.1007/s00180-019-00867-1>.
How to cite:
Jakub Dvorak (2018). SplitSoftening: Softening Splits in Decision Trees. R package version 2.1-1, https://cran.r-project.org/web/packages/SplitSoftening. Accessed 21 Apr. 2025.
Previous versions and publish date:
1.0-0 (2018-09-19 12:00), 2.0-0 (2019-10-01 21:20), 2.0-1 (2020-03-10 15:40), 2.1-0 (2021-10-08 12:40), 2.1-1 (2024-10-27 21:50)
Other packages that cited SplitSoftening R package
View SplitSoftening citation profile
Other R packages that SplitSoftening depends, imports, suggests or enhances
Complete documentation for SplitSoftening
Functions, R codes and Examples using the SplitSoftening R package
Some associated functions: SplitSoftening . predictSoftsplits . soften . softening.by.data.range . softening.by.esd . softening.optimized . softsplits . 
Some associated R codes: SplitSoftening.R . bounds_by_esd.R . conv.R . convenience.R . predict.R . sft_optim.R . soft.R . tree_data_bounds.R .  Full SplitSoftening package functions and examples
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