kernlab: Kernel-Based Machine Learning Lab

Canonical link: https://scholar.rpkg.net/pkg/kernlab

Alexandros Karatzoglou • Alex Smola • Kurt Hornik • National ICT Australia • Michael A. Maniscalco • Choon Hui Teo • View description and downloads View dependencies GitHub project

2004 Published

0.9-32 Version

0 Citations

6 Authors

Referenced by ⇅	Year
CIDER: Meta-Clustering for Single-Cell Data Integration and Evaluation (Version 0.99.1)	2021
ensModelVis: Visualisations for Model Ensembles (Version 0.1.0)	2022
FactorsR: Identification of the Factors Affecting Species Richness (Version 1.5)	2017
ITRLearn: Statistical Learning for Individualized Treatment Regime (Version 1.0-1)	2018
kernelPSI: Post-Selection Inference for Nonlinear Variable Selection (Version 1.1.1)	2019
sdmApp: A User-Friendly Application for Species Distribution Modeling (Version 0.0.2)	2021
SVMMaj: Implementation of the SVM-Maj Algorithm (Version 0.2.9.1)	2011
SwarmSVM: Ensemble Learning Algorithms Based on Support Vector Machines (Version 0.1-7)	2016
viruslearner: Ensemble Learning for HIV-Related Metrics (Version 0.0.2)	2024
prediction: Tidy, Type-Safe 'prediction()' Methods (Version 0.3.17)	2016
mlr: Machine Learning in R (Version 2.19.1)	2013
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.9)	2020
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' (Version 0.5.1)	2019
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
ABPS: The Abnormal Blood Profile Score to Detect Blood Doping (Version 0.3)	2017
BiodiversityR: Package for Community Ecology and Suitability Analysis (Version 2.16-1)	2007
CVST: Fast Cross-Validation via Sequential Testing (Version 0.2-3)	2012
CompareCausalNetworks: Interface to Diverse Estimation Methods of Causal Networks (Version 0.2.6.2)	2015
CondIndTests: Nonlinear Conditional Independence Tests (Version 0.1.5)	2017
CondiS: Censored Data Imputation for Direct Modeling (Version 0.1.2)	2022
DA: Discriminant Analysis for Evolutionary Inference (Version 1.2.0)	2021
DMTL: Tools for Applying Distribution Mapping Based Transfer Learning (Version 0.1.2)	2021
DRR: Dimensionality Reduction via Regression (Version 0.0.4)	2016
DTRlearn2: Statistical Learning Methods for Optimizing Dynamic Treatment Regimes (Version 1.1)	2019
DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes (Version 4.15)	2015
Ecume: Equality of 2 (or k) Continuous Univariate and Multivariate Distributions (Version 0.9.1)	2021
FCPS: Fundamental Clustering Problems Suite (Version 1.3.4)	2020
GAparsimony: Searching Parsimony Models with Genetic Algorithms (Version 0.9.5)	2017
GeneralisedCovarianceMeasure: Test for Conditional Independence Based on the Generalized Covariance Measure (GCM) (Version 0.2.0)	2019
GreedyExperimentalDesign: Greedy Experimental Design Construction (Version 1.5.6.1)	2016
Iscores: Proper Scoring Rules for Missing Value Imputation (Version 1.1.0)	2021
KPC: Kernel Partial Correlation Coefficient (Version 0.1.2)	2021
KRMM: Kernel Ridge Mixed Model (Version 1.0)	2017
LDLcalc: Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)	2021
MSCMT: Multivariate Synthetic Control Method Using Time Series (Version 1.4.0)	2016
MachineShop: Machine Learning Models and Tools (Version 3.7.0)	2018
OmicSense: Biosensor Development using Omics Data (Version 0.2.0)	2023
PCDimension: Finding the Number of Significant Principal Components (Version 1.1.13)	2017
PLORN: Prediction with Less Overfitting and Robust to Noise (Version 0.1.1)	2022
PredCRG: Computational Prediction of Proteins Encoded by Circadian Genes (Version 1.0.2)	2020
QuESTr: Constructing Quantitative Environment Sensor using Transcriptomes (Version 0.1.1)	2022
RISCA: Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.5)	2020
ROI.plugin.ipop: 'ipop' Plug-in for the 'R' Optimization Interface (Version 1.0-0)	2016
RSSL: Implementations of Semi-Supervised Learning Approaches for Classification (Version 0.9.7)	2016
RStoolbox: Remote Sensing Data Analysis (Version 0.4.0)	2015
SSLR: Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)	2020
STGS: Genomic Selection using Single Trait (Version 0.1.0)	2019
Semblance: A Data-Driven Similarity Kernel on Probability Spaces (Version 1.1.0)	2018
SuperLearner: Super Learner Prediction (Version 2.0-29)	2011
Synth: Synthetic Control Group Method for Comparative Case Studies (Version 1.1-8)	2007
TDApplied: Machine Learning and Inference for Topological Data Analysis (Version 3.0.3)	2022
TSGS: Trait Specific Gene Selection using SVM and GA (Version 1.0)	2021
WeightSVM: Subject Weighted Support Vector Machines (Version 1.7-13)	2020
ampir: Predict Antimicrobial Peptides (Version 1.1.0)	2019
aum: Area Under Minimum of False Positives and Negatives (Version 2023.6.14)	2022
aweSOM: Interactive Self-Organizing Maps (Version 1.3)	2021
brainKCCA: Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis (Version 0.1.0)	2018
breakDown: Model Agnostic Explainers for Individual Predictions (Version 0.2.2)	2018
bundle: Serialize Model Objects with a Consistent Interface (Version 0.1.1)	2022
butcher: Model Butcher (Version 0.3.4)	2019
calibrateBinary: Calibration for Computer Experiments with Binary Responses (Version 0.1)	2018
caret: Classification and Regression Training (Version 6.0-94)	2007
caretEnsemble: Ensembles of Caret Models (Version 2.0.3)	2015
classmap: Visualizing Classification Results (Version 1.2.3)	2021
clue: Cluster Ensembles (Version 0.3-65)	2004
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes (Version 2.1-0)	2005
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)	2019
dials: Tools for Creating Tuning Parameter Values (Version 1.2.1)	2018
diceR: Diverse Cluster Ensemble in R (Version 2.2.0)	2017
dimRed: A Framework for Dimensionality Reduction (Version 0.2.6)	2017
dismo: Species Distribution Modeling (Version 1.3-14)	2010
evclust: Evidential Clustering (Version 2.0.3)	2016
evtree: Evolutionary Learning of Globally Optimal Trees (Version 1.0-8)	2011
fPortfolio: Rmetrics - Portfolio Selection and Optimization (Version 4023.84)	2005
finnts: Microsoft Finance Time Series Forecasting Framework (Version 0.4.0)	2022
flevr: Flexible, Ensemble-Based Variable Selection with Potentially Missing Data (Version 0.0.4)	2023
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
fmf: Fast Class Noise Detector with Multi-Factor-Based Learning (Version 1.1.1)	2020
fpc: Flexible Procedures for Clustering (Version 2.2-11)	2003
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)	2013
gamclass: Functions and Data for a Course on Modern Regression and Classification (Version 0.62.5)	2012
gecko: Geographical Ecology and Conservation Knowledge Online (Version 1.0.0)	2022
geomod: A Computer Program for Geotechnical Investigations (Version 0.1.0)	2023
gkmSVM: Gapped-Kmer Support Vector Machine (Version 0.83.0)	2015
iForecast: Machine Learning Time Series Forecasting (Version 1.0.7)	2020
isotree: Isolation-Based Outlier Detection (Version 0.6.1-1)	2019
kappalab: Non-Additive Measure and Integral Manipulation Functions (Version 0.4-12)	2005
kernelFactory: Kernel Factory: An Ensemble of Kernel Machines (Version 0.3.0)	2012
kfda: Kernel Fisher Discriminant Analysis (Version 1.0.0)	2017
kpcalg: Kernel PC Algorithm for Causal Structure Detection (Version 1.0.1)	2017
ks: Kernel Smoothing (Version 1.14.2)	2005
loon: Interactive Statistical Data Visualization (Version 1.4.1)	2017
lsirm12pl: Latent Space Item Response Model (Version 1.3.1)	2022
microsynth: Synthetic Control Methods with Micro- And Meso-Level Data (Version 2.0.44)	2018
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)	2020
mildsvm: Multiple-Instance Learning with Support Vector Machines (Version 0.4.0)	2022
mistral: Methods in Structural Reliability (Version 2.2.2)	2013
mixtools: Tools for Analyzing Finite Mixture Models (Version 2.0.0)	2006
modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.2.8)	2020
nlcv: Nested Loop Cross Validation (Version 0.3.5)	2017
oddstream: Outlier Detection in Data Streams (Version 0.5.0)	2019
parsnip: A Common API to Modeling and Analysis Functions (Version 1.2.1)	2018
pdp: Partial Dependence Plots (Version 0.8.1)	2016
personalized: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (Version 0.2.7)	2017
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)	2023
plsRcox: Partial Least Squares Regression for Cox Models and Related Techniques (Version 1.7.7)	2011
pmml: Generate PMML for Various Models (Version 2.5.2)	2007
promor: Proteomics Data Analysis and Modeling Tools (Version 0.2.1)	2022
qrjoint: Joint Estimation in Linear Quantile Regression (Version 2.0-9)	2015
randomMachines: An Ensemble Modeling using Random Machines (Version 0.1.0)	2023
rattle: Graphical User Interface for Data Science in R (Version 5.5.1)	2013
recipes: Preprocessing and Feature Engineering Steps for Modeling (Version 1.0.10)	2017
rminer: Data Mining Classification and Regression Methods (Version 1.4.6)	2011
robCompositions: Compositional Data Analysis (Version 2.4.1)	2009
rres: Realized Relatedness Estimation and Simulation (Version 1.1)	2018
sand: Statistical Analysis of Network Data with R, 2nd Edition (Version 2.0.0)	2014
shipunov: Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)	2019
soilassessment: Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)	2019
spectralGraphTopology: Learning Graphs from Data via Spectral Constraints (Version 0.2.3)	2019
ssMutPA: Single-Sample Mutation-Based Pathway Analysis (Version 0.1.0)	2024
ssc: Semi-Supervised Classification Methods (Version 2.1-0)	2016
stacks: Tidy Model Stacking (Version 1.0.4)	2020
superMICE: SuperLearner Method for MICE (Version 1.1.1)	2022
supervisedPRIM: Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM) (Version 2.0.0)	2016
survivalsvm: Survival Support Vector Analysis (Version 0.0.5)	2017
svmpath: The SVM Path Algorithm (Version 0.970)	2004
swag: Sparse Wrapper Algorithm (Version 0.1.0)	2020
tboot: Tilted Bootstrap (Version 0.2.1)	2020
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)	2023
tidysdm: Species Distribution Models with Tidymodels (Version 0.9.4)	2023
tidysynth: A Tidy Implementation of the Synthetic Control Method (Version 0.2.0)	2021
tsensembler: Dynamic Ensembles for Time Series Forecasting (Version 0.1.0)	2017
tsiR: An Implementation of the TSIR Model (Version 0.4.3)	2017
tune: Tidy Tuning Tools (Version 1.2.1)	2020
vcd: Visualizing Categorical Data (Version 1.4-12)	2003
visaOTR: Valid Improved Sparsity A-Learning for Optimal Treatment Decision (Version 0.1.0)	2022
wearables: Tools to Read and Convert Wearables Data (Version 0.8.1)	2021

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.