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Harvest.Tree  

Harvest the Classification Tree
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/Harvest.Tree")

Install by package version:
library("remotes")
install_version("Harvest.Tree", "1.1")



Attach the package and use:
library("Harvest.Tree")
Maintained by
Bingyuan Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-10
Latest Update: 2015-07-31
Description:
Aimed at applying the Harvest classification tree algorithm, modified algorithm of classic classification tree.The harvested tree has advantage of deleting redundant rules in trees, leading to a simplify and more efficient tree model.It was firstly used in drug discovery field, but it also performs well in other kinds of data, especially when the region of a class is disconnected. This package also improves the basic harvest classification tree algorithm by extending the field of data of algorithm to both continuous and categorical variables. To learn more about the harvest classification tree algorithm, you can go to http://www.stat.ubc.ca/Research/TechReports/techreports/220.pdf for more information.
How to cite:
Bingyuan Liu (2015). Harvest.Tree: Harvest the Classification Tree. R package version 1.1, https://cran.r-project.org/web/packages/Harvest.Tree
Previous versions and publish date:
1.0 (2015-07-10 20:15)
Other packages that cited Harvest.Tree R package
View Harvest.Tree citation profile
Other R packages that Harvest.Tree depends, imports, suggests or enhances
Functions, R codes and Examples using the Harvest.Tree R package
Some associated functions: Harvest.Tree-package . extrule . harfunc . harvest . predict . rank.nodes . rulesets . training . 
Some associated R codes: Bi.test.R . bound.R . change.log.R . delta.log.R . drulenew.R . extrule.R . harfunc.R . harvest.R . iterlog.R . lik.R . likeli.R . logivec.R . newnode.R . path.rpart.new.R . predict.harfunc.R . rank.nodes.R . ranking.R . rulesets.R . simu.new.R .  Full Harvest.Tree package functions and examples
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