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DESCRIPTION
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DESCRIPTION
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Package: predomics
Type: Package
Title: Interpretable Prediction in Omics Data
Version: 1.2.1
Date: 2023-11-13
Author: Edi Prifti, Jean-Daniel Zucker, Yann Chevaleyre, Blaise Hanczar,
Eugeni Belda, Lucas Robin, Shasha Cui, Magali Cousin Thorez,
Youcef Sklab, Gaspar Roy
Maintainer: Edi Prifti <[email protected]>
Depends:
R (>= 3.5.0),
Imports:
ggplot2, reshape2, dplyr, data.table, foreach, snow, doRNG, doSNOW, yaml,
cowplot, patchwork, gridExtra, grid, gtools, RColorBrewer, viridis,
pROC, caTools, glmnet, kernlab, randomForest, effsize
Suggests: knitr, rmarkdown, testthat, logger, devtools
VignetteBuilder: knitr
Description: The predomics package offers access to a novel framework implementing several heuristics that allow finding
sparse and interpretable models in large datasets. These models are efficient and adopted for classification and regression
in metagenomics and other commensurable datasets. We introduce the BTR (BIN, TER, RATIO) languages that describe different
types of associations between variables. Moreover, in the same framework we implemented several state-of-the-art methods
(SOTA) including RF, ENET and SVM.
License: GPL-3 + file LICENSE
LazyData: TRUE
RoxygenNote: 7.2.3
Encoding: UTF-8
URL: https://predomics.github.io/predomicspkg/