Package: FSinR 2.0.10

FSinR: Feature Selection in R

Feature subset selection algorithms modularized in search algorithms and measure utilities.

Authors:Alfonso Jiménez-Vílchez [aut, cre], Francisco Aragón-Royón [aut], Adan M. Rodriguez [aut], Antonio Arauzo-Azofra [aut], José Manuel Benítez [aut]

FSinR_2.0.10.tar.gz
FSinR_2.0.10.zip(r-4.7-any)FSinR_2.0.10.zip(r-4.6-any)FSinR_2.0.10.zip(r-4.5-any)
FSinR_2.0.10.tgz(r-4.6-any)FSinR_2.0.10.tgz(r-4.5-any)
FSinR_2.0.10.tar.gz(r-4.7-any)FSinR_2.0.10.tar.gz(r-4.6-any)
FSinR_2.0.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FSinR/json (API)

# Install 'FSinR' in R:
install.packages('FSinR', repos = c('https://sambrista.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.02 score 26 scripts 372 downloads 49 exports 78 dependencies

Last updated from:61e8b70224. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK196
source / vignettesOK275
linux-releaseOK225
macos-releaseOK172
macos-oldrelOK270
windows-develOK160
windows-releaseOK194
windows-oldrelOK186
wasm-releaseOK116

Exports:antColonybinaryConsistencybreadthFirstchiSquaredcramerdeepFirstdeterminationCoefficientdirectFeatureSelectiondirectSearchAlgorithmfeatureSelectionfilterEvaluatorfscoregainRatiogeneticAlgorithmginiIndexhillClimbinghybridFeatureSelectionhybridSearchAlgorithmIEConsistencyIEPConsistencyis.discreteisDataframeContinuousisDataframeDiscreteJdLasVegasLCCMDLCmutualInformationnormalizedReliefnormalizedReliefFeatureSetMeasurereliefReliefFeatureSetMeasureroughsetConsistencysearchAlgorithmselectDifferenceselectKBestselectPercentileselectSlopeselectThresholdselectThresholdRangesequentialBackwardSelectionsequentialFloatingBackwardSelectionsequentialFloatingForwardSelectionsequentialForwardSelectionsimulatedAnnealingsymmetricalUncertaintabuwhaleOptimizationwrapperEvaluator

Dependencies:caretclasscliclockcodetoolscpp11crayondata.tablediagramdigestdplyre1071farverforeachfuturefuture.applyGAgenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr

A Short Introduction to the FSinR Package
1. Introduction | 2. Feature Selection Process | 2.1. Search algorithms | 2.2. Filter methods | 2.3. Wrapper methods | 2.4. Feature Selection process example | 2.4.1. Search + Wrapper | 2.4.2. Search + Filter | 2.4.3. Individual evaluation of features | 3. Direct Feature Selection Process | 3.1. Direct search algorithms | 3.2. Direct Feature Selection process example | 4. Hybrid Feature Selection Process | 4.1. Hybrid search algorithms | 4.2. Hybrid Feature Selection process example
Rendered fromFSinR.Rmdusingknitr::rmarkdown

Last update: 2025-10-20
Started: 2019-12-22

Evaluation and algorithms combination
Rendered frommethods.Rmdusingknitr::rmarkdown

Last update: 2025-10-20
Started: 2019-12-22

Readme and manuals

Help Manual

Help pageTopics
Ant Colony Optimization (Advanced Binary Ant Colony Optimization)antColony
Binary consistency measurebinaryConsistency
Breadth First Search (exhaustive search)breadthFirst
Chi squared measurechiSquared
Cramer V measurecramer
Deep First Search (exhaustive search)deepFirst
R Squared, to continous featuresdeterminationCoefficient
Direct Feature Selection ProccessdirectFeatureSelection
Direct search algorithm generatordirectSearchAlgorithm
Feature Selection ProccessfeatureSelection
Filter measure generatorfilterEvaluator
F-score measurefscore
The gain ratio measuregainRatio
Genetic AlgorithmgeneticAlgorithm
Gini index measureginiIndex
Hill-ClimbinghillClimbing
Hybrid Feature Selection ProccesshybridFeatureSelection
Hybrid search algorithm generatorhybridSearchAlgorithm
Inconsistent Examples consistency measureIEConsistency
Inconsistent Examples Pairs consistency measureIEPConsistency
is.discrete(collection)is.discrete
isDataframeContinuous(dataframe)isDataframeContinuous
isDataFrameDiscrete(dataframe)isDataframeDiscrete
Jd evaluation measureJd
Las VegasLasVegas
Linear Consistency-Constrained algorithmLCC
MDLC evaluation measureMDLC
The mutual information measuremutualInformation
Normalized ReliefnormalizedRelief
Relief Feature Set Measure evaluation measurenormalizedReliefFeatureSetMeasure
Reliefrelief
Relief Feature Set Measure evaluation measureReliefFeatureSetMeasure
Rough Set consistency measureroughsetConsistency
Search algorithm generatorsearchAlgorithm
Select differenceselectDifference
Select K bestselectKBest
Select PercentileselectPercentile
Select slopeselectSlope
Select thresholdselectThreshold
Select threshold rangeselectThresholdRange
Sequential Backward SelectionsequentialBackwardSelection
Sequential Floating Backward SelectionsequentialFloatingBackwardSelection
Sequential Floating Forward SelectionsequentialFloatingForwardSelection
Sequential Forward SelectionsequentialForwardSelection
Simulated AnnealingsimulatedAnnealing
Symmetrical uncertain measuresymmetricalUncertain
Tabu Searchtabu
Whale Optimization Algorithm (Binary Whale Optimization Algorithm)whaleOptimization
Wrapper measure generatorwrapperEvaluator