CRAN/E | pheble

pheble

Classifying High-Dimensional Phenotypes with Ensemble Learning

Installation

About

A system for binary and multi-class classification of high-dimensional phenotypic data using ensemble learning. By combining predictions from different classification models, this package attempts to improve performance over individual learners. The pre-processing, training, validation, and testing are performed end-to-end to minimize user input and simplify the process of classification.

Citation pheble citation info

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2023-05-17 347 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks pheble results

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Maintainer

Maintainer

Jay Devine

jay.devine1@ucalgary.ca

Authors

Jay Devine

aut / cre / cph

Bened'ikt Hallgrimsson

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.10

Imports

adabag
base
C50
caret
caTools
data.table
doParallel
dplyr
e1071
earth
evtree
frbs
glmnet
gmodels
hda
HDclassif
ipred
kernlab
kknn
klaR
magrittr
MASS
Matrix
mda
MLmetrics
nnet
parallel
party
pls
randomForest
rpartScore
sparseLDA
stats
themis
utils

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