Package: RKEEL 1.3.4

RKEEL: Using 'KEEL' in R Code

'KEEL' is a popular 'Java' software for a large number of different knowledge data discovery tasks. This package takes the advantages of 'KEEL' and R, allowing to use 'KEEL' algorithms in simple R code. The implemented R code layer between R and 'KEEL' makes easy both using 'KEEL' algorithms in R as implementing new algorithms for 'RKEEL' in a very simple way. It includes more than 100 algorithms for classification, regression, preprocess, association rules and imbalance learning, which allows a more complete experimentation process. For more information about 'KEEL', see <http://www.keel.es/>.

Authors:Jose M. Moyano [aut, cre], Luciano Sanchez [aut], Oliver Sanchez [ctb], Jesus Alcala-Fernandez [ctb]

RKEEL_1.3.4.tar.gz
RKEEL_1.3.4.zip(r-4.5)RKEEL_1.3.4.zip(r-4.4)RKEEL_1.3.4.zip(r-4.3)
RKEEL_1.3.4.tgz(r-4.4-any)RKEEL_1.3.4.tgz(r-4.3-any)
RKEEL_1.3.4.tar.gz(r-4.5-noble)RKEEL_1.3.4.tar.gz(r-4.4-noble)
RKEEL_1.3.4.tgz(r-4.4-emscripten)RKEEL_1.3.4.tgz(r-4.3-emscripten)
RKEEL.pdf |RKEEL.html✨
RKEEL/json (API)

# Install 'RKEEL' in R:
install.packages('RKEEL', repos = c('https://i02momuj.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

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

284 exports 2 stars 0.71 score 28 dependencies 1 mentions 127 scripts 702 downloads

Last updated 1 years agofrom:2aaf54ca2b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winNOTESep 12 2024
R-4.5-linuxNOTESep 12 2024
R-4.4-winNOTESep 12 2024
R-4.4-macNOTESep 12 2024
R-4.3-winNOTESep 12 2024
R-4.3-macNOTESep 12 2024

Exports:ABB_IEP_FSAdaBoost_IAdaBoostNC_CAlatasetal_AAlcalaetal_AAllKNN_TSSAllPosible_MVANR_FApriori_AART_CAssociationRulesAlgorithmAssociativeClassificationAlgorithmBayesian_DBNGE_CBojarczuk_GP_CBSE_CC_SVM_CC45_CC45Binarization_CC45Rules_CCamNN_CCART_CCART_RCBA_CCenterNN_CCFAR_CCFKNN_CCHC_CClassificationAlgorithmClassificationResultsCleanAttributes_TRClusterAnalysis_DCMAR_CCNN_CCPAR_CCPW_CCW_CDecimalScaling_TRDecrRBFN_CDeeps_CdownloadFromMirrorDSM_CDT_GA_CEARMGA_AEclat_AEPSILON_SVR_RFalco_GP_CFCRA_CFPgrowth_AFRNN_CFRSBM_RFURIA_CFuzzyApriori_AFuzzyFARCHD_CFuzzyKNN_CFuzzyNPC_CGANN_CGAR_AGENAR_AGeneticFuzzyApriori_AGeneticFuzzyAprioriDC_AgetAttributeLinesFromDataframesgetExePathgetJarListgetJarPathGFS_AdaBoost_CGFS_GP_RGFS_GSP_RGFS_LogitBoost_CGFS_RB_MF_RhasContinuousDatahasMissingValuesID3_CID3_DIF_KNN_CIgnore_MVImbalancedClassificationAlgorithmIncrRBFN_CisMultiClassIterativePartitioningFilter_FJFKNN_CKeelAlgorithmKernel_CKMeans_MVKNN_CKNN_MVKSNN_CKStar_CLDA_CLinearLMS_CLinearLMS_RloadKeelDatasetLogistic_CLVF_IEP_FSM5_RM5Rules_RMinMax_TRMLP_BP_CMLP_BP_RModelCS_TSSMODENAR_AMOEA_Ghosh_AMOPNAR_AMostCommon_MVNB_CNICGAR_ANM_CNNEP_CNominal2Binary_TRNU_SVM_CNU_SVR_RPART_CPDFC_CPFKNN_CPNN_CPolQuadraticLMS_CPolQuadraticLMS_RPOP_TSSPreprocessAlgorithmPRISM_CProportional_DPSO_ACO_CPSRCG_TSSPUBLIC_CPW_CQAR_CIP_NSGAII_AQDA_CR6_ABB_IEP_FSR6_AdaBoost_IR6_AdaBoostNC_CR6_Alatasetal_AR6_Alcalaetal_AR6_AllKNN_TSSR6_AllPosible_MVR6_ANR_FR6_Apriori_AR6_ART_CR6_Bayesian_DR6_BNGE_CR6_Bojarczuk_GP_CR6_BSE_CR6_C_SVM_CR6_C45_CR6_C45Binarization_CR6_C45Rules_CR6_CamNN_CR6_CART_CR6_CART_RR6_CBA_CR6_CenterNN_CR6_CFAR_CR6_CFKNN_CR6_CHC_CR6_CleanAttributes_TRR6_ClusterAnalysis_DR6_CMAR_CR6_CNN_CR6_CPAR_CR6_CPW_CR6_CW_CR6_DecimalScaling_TRR6_DecrRBFN_CR6_Deeps_CR6_DSM_CR6_DT_GA_CR6_EARMGA_AR6_Eclat_AR6_EPSILON_SVR_RR6_Falco_GP_CR6_FCRA_CR6_FPgrowth_AR6_FRNN_CR6_FRSBM_RR6_FURIA_CR6_FuzzyApriori_AR6_FuzzyFARCHD_CR6_FuzzyKNN_CR6_FuzzyNPC_CR6_GANN_CR6_GAR_AR6_GENAR_AR6_GeneticFuzzyApriori_AR6_GeneticFuzzyAprioriDC_AR6_GFS_AdaBoost_CR6_GFS_GP_RR6_GFS_GSP_RR6_GFS_LogitBoost_CR6_GFS_RB_MF_RR6_ID3_CR6_ID3_DR6_IF_KNN_CR6_Ignore_MVR6_IncrRBFN_CR6_IterativePartitioningFilter_FR6_JFKNN_CR6_Kernel_CR6_KMeans_MVR6_KNN_CR6_KNN_MVR6_KSNN_CR6_KStar_CR6_LDA_CR6_LinearLMS_CR6_LinearLMS_RR6_Logistic_CR6_LVF_IEP_FSR6_M5_RR6_M5Rules_RR6_MinMax_TRR6_MLP_BP_CR6_MLP_BP_RR6_ModelCS_TSSR6_MODENAR_AR6_MOEA_Ghosh_AR6_MOPNAR_AR6_MostCommon_MVR6_NB_CR6_NICGAR_AR6_NM_CR6_NNEP_CR6_Nominal2Binary_TRR6_NU_SVM_CR6_NU_SVR_RR6_PART_CR6_PDFC_CR6_PFKNN_CR6_PNN_CR6_PolQuadraticLMS_CR6_PolQuadraticLMS_RR6_POP_TSSR6_PRISM_CR6_Proportional_DR6_PSO_ACO_CR6_PSRCG_TSSR6_PUBLIC_CR6_PW_CR6_QAR_CIP_NSGAII_AR6_QDA_CR6_RBFN_CR6_RBFN_RR6_Relief_FSR6_Ripper_CR6_RISE_CR6_SaturationFilter_FR6_SFS_IEP_FSR6_SGA_CR6_Shrink_CR6_Slipper_CR6_SMO_CR6_SSGA_Integer_knn_FSR6_Tan_GP_CR6_Thrift_RR6_UniformFrequency_DR6_UniformWidth_DR6_VWFuzzyKNN_CR6_WM_RR6_ZScore_TRRBFN_CRBFN_Rread.keelRegressionAlgorithmRegressionResultsRelief_FSRipper_CRISE_CrunCVrunParallelrunSequentialSaturationFilter_FSFS_IEP_FSSGA_CShrink_CSlipper_CSMO_CSSGA_Integer_knn_FSTan_GP_CThrift_RUniformFrequency_DUniformWidth_DVWFuzzyKNN_CWM_RwriteDatFromDataframewriteDatFromDataframesZScore_TR

Dependencies:arulesaskpassclicodetoolsdigestdoParalleldownloaderforeachgdatagenericsgluegtoolsiteratorslatticelifecyclemagrittrMatrixopensslpmmlR6rJavaRKEELdatarlangstringistringrsysvctrsXML

Readme and manuals

Help Manual

Help pageTopics
ABB_IEP_FS KEEL Preprocess AlgorithmABB_IEP_FS R6_ABB_IEP_FS
AdaBoost_I KEEL Imbalanced Classification AlgorithmAdaBoost_I R6_AdaBoost_I
AdaBoostNC_C KEEL Classification AlgorithmAdaBoostNC_C R6_AdaBoostNC_C
Alatasetal_A KEEL Association Rules AlgorithmAlatasetal_A R6_Alatasetal_A
Alcalaetal_A KEEL Association Rules AlgorithmAlcalaetal_A R6_Alcalaetal_A
AllKNN_TSS KEEL Preprocess AlgorithmAllKNN_TSS R6_AllKNN_TSS
AllPosible_MV KEEL Preprocess AlgorithmAllPosible_MV R6_AllPosible_MV
ANR_F KEEL Preprocess AlgorithmANR_F R6_ANR_F
Apriori_A KEEL Association Rules AlgorithmApriori_A R6_Apriori_A
ART_C KEEL Classification AlgorithmART_C R6_ART_C
Association Rules AlgorithmAssociationRulesAlgorithm
Associative Classification AlgorithmAssociativeClassificationAlgorithm
Bayesian_D KEEL Preprocess AlgorithmBayesian_D R6_Bayesian_D
BNGE_C KEEL Classification AlgorithmBNGE_C R6_BNGE_C
Bojarczuk_GP_C KEEL Classification AlgorithmBojarczuk_GP_C R6_Bojarczuk_GP_C
BSE_C KEEL Classification AlgorithmBSE_C R6_BSE_C
C_SVM_C KEEL Classification AlgorithmC_SVM_C R6_C_SVM_C
C45_C KEEL Classification AlgorithmC45_C R6_C45_C
C45Binarization_C KEEL Classification AlgorithmC45Binarization_C R6_C45Binarization_C
C45Rules_C KEEL Classification AlgorithmC45Rules_C R6_C45Rules_C
CamNN_C KEEL Classification AlgorithmCamNN_C R6_CamNN_C
CART_C KEEL Classification AlgorithmCART_C R6_CART_C
CART_R KEEL Regression AlgorithmCART_R R6_CART_R
CBA_C KEEL Associative Classification AlgorithmCBA_C R6_CBA_C
CenterNN_C KEEL Classification AlgorithmCenterNN_C R6_CenterNN_C
CFAR_C KEEL Classification AlgorithmCFAR_C R6_CFAR_C
CFKNN_C KEEL Classification AlgorithmCFKNN_C R6_CFKNN_C
CHC_C KEEL Classification AlgorithmCHC_C R6_CHC_C
Classification AlgorithmClassificationAlgorithm
Classification ResultsClassificationResults
CleanAttributes_TR KEEL Preprocess AlgorithmCleanAttributes_TR R6_CleanAttributes_TR
ClusterAnalysis_D KEEL Preprocess AlgorithmClusterAnalysis_D R6_ClusterAnalysis_D
CMAR_C KEEL Associative Classification AlgorithmCMAR_C R6_CMAR_C
CNN_C KEEL Classification AlgorithmCNN_C R6_CNN_C
CPAR_C KEEL Associative Classification AlgorithmCPAR_C R6_CPAR_C
CPW_C KEEL Classification AlgorithmCPW_C R6_CPW_C
CW_C KEEL Classification AlgorithmCW_C R6_CW_C
DecimalScaling_TR KEEL Preprocess AlgorithmDecimalScaling_TR R6_DecimalScaling_TR
DecrRBFN_C KEEL Classification AlgorithmDecrRBFN_C R6_DecrRBFN_C
Deeps_C KEEL Classification AlgorithmDeeps_C R6_Deeps_C
Download file from a mirrordownloadFromMirror
DSM_C KEEL Classification AlgorithmDSM_C R6_DSM_C
DT_GA_C KEEL Classification AlgorithmDT_GA_C R6_DT_GA_C
EARMGA_A KEEL Association Rules AlgorithmEARMGA_A R6_EARMGA_A
Eclat_A KEEL Association Rules AlgorithmEclat_A R6_Eclat_A
EPSILON_SVR_R KEEL Regression AlgorithmEPSILON_SVR_R R6_EPSILON_SVR_R
Falco_GP_C KEEL Classification AlgorithmFalco_GP_C R6_Falco_GP_C
FCRA_C KEEL Classification AlgorithmFCRA_C R6_FCRA_C
FPgrowth_A KEEL Association Rules AlgorithmFPgrowth_A R6_FPgrowth_A
FRNN_C KEEL Classification AlgorithmFRNN_C R6_FRNN_C
FRSBM_R KEEL Regression AlgorithmFRSBM_R R6_FRSBM_R
FURIA_C KEEL Classification AlgorithmFURIA_C R6_FURIA_C
FuzzyApriori_A KEEL Association Rules AlgorithmFuzzyApriori_A R6_FuzzyApriori_A
FuzzyFARCHD_C KEEL Classification AlgorithmFuzzyFARCHD_C R6_FuzzyFARCHD_C
FuzzyKNN_C KEEL Classification AlgorithmFuzzyKNN_C R6_FuzzyKNN_C
FuzzyNPC_C KEEL Classification AlgorithmFuzzyNPC_C R6_FuzzyNPC_C
GANN_C KEEL Classification AlgorithmGANN_C R6_GANN_C
GAR_A KEEL Association Rules AlgorithmGAR_A R6_GAR_A
GENAR_A KEEL Association Rules AlgorithmGENAR_A R6_GENAR_A
GeneticFuzzyApriori_A KEEL Association Rules AlgorithmGeneticFuzzyApriori_A R6_GeneticFuzzyApriori_A
GeneticFuzzyAprioriDC_A KEEL Association Rules AlgorithmGeneticFuzzyAprioriDC_A R6_GeneticFuzzyAprioriDC_A
Get attribute lines from data.framesgetAttributeLinesFromDataframes
Get jar executable files PathgetExePath
Get a list with all RKEEL algorithm jarsgetJarList
Get RunKeel.jar PathgetJarPath
GFS_AdaBoost_C KEEL Classification AlgorithmGFS_AdaBoost_C R6_GFS_AdaBoost_C
GFS_GP_R KEEL Regression AlgorithmGFS_GP_R R6_GFS_GP_R
GFS_GSP_R KEEL Regression AlgorithmGFS_GSP_R R6_GFS_GSP_R
GFS_LogitBoost_C KEEL Classification AlgorithmGFS_LogitBoost_C R6_GFS_LogitBoost_C
GFS_RB_MF_R KEEL Regression AlgorithmGFS_RB_MF_R R6_GFS_RB_MF_R
Has Continuous DatahasContinuousData
Has Missing ValueshasMissingValues
ID3_C KEEL Classification AlgorithmID3_C R6_ID3_C
ID3_D KEEL Preprocess AlgorithmID3_D R6_ID3_D
IF_KNN_C KEEL Classification AlgorithmIF_KNN_C R6_IF_KNN_C
Ignore_MV KEEL Preprocess AlgorithmIgnore_MV R6_Ignore_MV
ImbalancedClassification AlgorithmImbalancedClassificationAlgorithm
IncrRBFN_C KEEL Classification AlgorithmIncrRBFN_C R6_IncrRBFN_C
Is Multi-classisMultiClass
IterativePartitioningFilter_F KEEL Preprocess AlgorithmIterativePartitioningFilter_F R6_IterativePartitioningFilter_F
JFKNN_C KEEL Classification AlgorithmJFKNN_C R6_JFKNN_C
Keel AlgorithmKeelAlgorithm
Kernel_C KEEL Classification AlgorithmKernel_C R6_Kernel_C
KMeans_MV KEEL Preprocess AlgorithmKMeans_MV R6_KMeans_MV
KNN-C KEEL Classification AlgorithmKNN_C R6_KNN_C
KNN_MV KEEL Preprocess AlgorithmKNN_MV R6_KNN_MV
KSNN_C KEEL Classification AlgorithmKSNN_C R6_KSNN_C
KStar_C KEEL Classification AlgorithmKStar_C R6_KStar_C
LDA_C KEEL Classification AlgorithmLDA_C R6_LDA_C
LinearLMS_C KEEL Classification AlgorithmLinearLMS_C R6_LinearLMS_C
LinearLMS_R KEEL Regression AlgorithmLinearLMS_R R6_LinearLMS_R
Load KEEL DatasetloadKeelDataset
Logistic_C KEEL Classification AlgorithmLogistic_C R6_Logistic_C
LVF_IEP_FS KEEL Preprocess AlgorithmLVF_IEP_FS R6_LVF_IEP_FS
M5_R KEEL Regression AlgorithmM5_R R6_M5_R
M5Rules_R KEEL Regression AlgorithmM5Rules_R R6_M5Rules_R
MinMax_TR KEEL Preprocess AlgorithmMinMax_TR R6_MinMax_TR
MLP_BP_C KEEL Classification AlgorithmMLP_BP_C R6_MLP_BP_C
MLP_BP_R KEEL Regression AlgorithmMLP_BP_R R6_MLP_BP_R
ModelCS_TSS KEEL Preprocess AlgorithmModelCS_TSS R6_ModelCS_TSS
MODENAR_A KEEL Association Rules AlgorithmMODENAR_A R6_MODENAR_A
MOEA_Ghosh_A KEEL Association Rules AlgorithmMOEA_Ghosh_A R6_MOEA_Ghosh_A
MOPNAR_A KEEL Association Rules AlgorithmMOPNAR_A R6_MOPNAR_A
MostCommon_MV KEEL Preprocess AlgorithmMostCommon_MV R6_MostCommon_MV
NB_C KEEL Classification AlgorithmNB_C R6_NB_C
NICGAR_A KEEL Association Rules AlgorithmNICGAR_A R6_NICGAR_A
NM_C KEEL Classification AlgorithmNM_C R6_NM_C
NNEP_C KEEL Classification AlgorithmNNEP_C R6_NNEP_C
Nominal2Binary_TR KEEL Preprocess AlgorithmNominal2Binary_TR R6_Nominal2Binary_TR
NU_SVM_C KEEL Classification AlgorithmNU_SVM_C R6_NU_SVM_C
NU_SVR_R KEEL Regression AlgorithmNU_SVR_R R6_NU_SVR_R
PART_C KEEL Classification AlgorithmPART_C R6_PART_C
PDFC_C KEEL Classification AlgorithmPDFC_C R6_PDFC_C
PFKNN_C KEEL Classification AlgorithmPFKNN_C R6_PFKNN_C
PNN_C KEEL Classification AlgorithmPNN_C R6_PNN_C
PolQuadraticLMS_C KEEL Classification AlgorithmPolQuadraticLMS_C R6_PolQuadraticLMS_C
PolQuadraticLMS_R KEEL Regression AlgorithmPolQuadraticLMS_R R6_PolQuadraticLMS_R
POP_TSS KEEL Preprocess AlgorithmPOP_TSS R6_POP_TSS
Preprocess AlgorithmPreprocessAlgorithm
PRISM_C KEEL Classification AlgorithmPRISM_C R6_PRISM_C
Proportional_D KEEL Preprocess AlgorithmProportional_D R6_Proportional_D
PSO_ACO_C KEEL Classification AlgorithmPSO_ACO_C R6_PSO_ACO_C
PSRCG_TSS KEEL Preprocess AlgorithmPSRCG_TSS R6_PSRCG_TSS
PUBLIC_C KEEL Classification AlgorithmPUBLIC_C R6_PUBLIC_C
PW_C KEEL Classification AlgorithmPW_C R6_PW_C
QAR_CIP_NSGAII_A KEEL Association Rules AlgorithmQAR_CIP_NSGAII_A R6_QAR_CIP_NSGAII_A
QDA_C KEEL Classification AlgorithmQDA_C R6_QDA_C
RBFN_C KEEL Classification AlgorithmR6_RBFN_C RBFN_C
RBFN_R KEEL Regression AlgorithmR6_RBFN_R RBFN_R
Read keel datasetread.keel
Regression AlgorithmRegressionAlgorithm
Regression ResultsRegressionResults
Relief_FS KEEL Preprocess AlgorithmR6_Relief_FS Relief_FS
Ripper_C KEEL Classification AlgorithmR6_Ripper_C Ripper_C
RISE_C KEEL Classification AlgorithmR6_RISE_C RISE_C
Run Cross-ValidationrunCV
Run ParallelrunParallel
Run SequentialrunSequential
SaturationFilter_F KEEL Preprocess AlgorithmR6_SaturationFilter_F SaturationFilter_F
SFS_IEP_FS KEEL Preprocess AlgorithmR6_SFS_IEP_FS SFS_IEP_FS
SGA_C KEEL Classification AlgorithmR6_SGA_C SGA_C
Shrink_C KEEL Classification AlgorithmR6_Shrink_C Shrink_C
Slipper_C KEEL Classification AlgorithmR6_Slipper_C Slipper_C
SMO_C KEEL Classification AlgorithmR6_SMO_C SMO_C
SSGA_Integer_knn_FS KEEL Preprocess AlgorithmR6_SSGA_Integer_knn_FS SSGA_Integer_knn_FS
Tan_GP_C KEEL Classification AlgorithmR6_Tan_GP_C Tan_GP_C
Thrift_R KEEL Regression AlgorithmR6_Thrift_R Thrift_R
UniformFrequency_D KEEL Preprocess AlgorithmR6_UniformFrequency_D UniformFrequency_D
UniformWidth_D KEEL Preprocess AlgorithmR6_UniformWidth_D UniformWidth_D
VWFuzzyKNN_C KEEL Classification AlgorithmR6_VWFuzzyKNN_C VWFuzzyKNN_C
WM_R KEEL Regression AlgorithmR6_WM_R WM_R
Write .dat from data.framewriteDatFromDataframe
Write .dat from data.frameswriteDatFromDataframes
ZScore_TR KEEL Preprocess AlgorithmR6_ZScore_TR ZScore_TR