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logicDT
View on CRAN: Click
here
Download and install logicDT package within the R console
Install from CRAN:
install.packages("logicDT")
Install from Github:
library("remotes")
install_github("cran/logicDT")
Install by package version:
library("remotes")
install_version("logicDT", "1.0.5")
Attach the package and use:
library("logicDT")
Maintained by
Michael Lau
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-19
Latest Update: 2023-01-14
Description:
A statistical learning method that tries to find the best set
of predictors and interactions between predictors for modeling binary or
quantitative response data in a decision tree. Several search algorithms
and ensembling techniques are implemented allowing for finetuning the
method to the specific problem. Interactions with quantitative
covariables can be properly taken into account by fitting local
regression models. Moreover, a variable importance measure for assessing
marginal and interaction effects is provided. Implements the
procedures proposed by Lau et al. (2024, ).
How to cite:
Michael Lau (2021). logicDT: Identifying Interactions Between Binary Predictors. R package version 1.0.5, https://cran.r-project.org/web/packages/logicDT. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for logicDT
Functions, R codes and Examples using
the logicDT R package
Some associated functions: bestBoostingIter . calcAUC . calcBrier . calcDev . calcMSE . calcMis . calcNCE . calcNRMSE . cooling.schedule . cv.prune . fit4plModel . fitLinearBoostingModel . fitLinearLogicModel . fitLinearModel . get.ideal.penalty . getDesignMatrix . gxe.test.boosting . gxe.test . importance.test.boosting . logicDT.bagging . logicDT.boosting . logicDT . partial.predict . plot.logicDT . plot.vim . predict.4pl . predict.linear.logic . predict.linear . predict.logicDT . prune . prune.path . refitTrees . splitSNPs . tree.control . vim .
Some associated R codes: cooling.schedule.R . fancy.plot.R . globals.R . gxe.test.R . logic.bagging.R . logic.boosting.R . logicDT.R . plot.R . print.R . pruning.R . simulateGRS.R . simulateSNPtree.R . tree.control.R . utils.R . vim.R . Full logicDT package functions and examples
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