kernlab: Kernel-Based Machine Learning Lab

Canonical link: https://rscholar.com/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

0.9-33 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
SwarmSVM: Ensemble Learning Algorithms Based on Support Vector Machines (Version 0.1-7)	2015
viruslearner: Ensemble Learning for HIV-Related Metrics (Version 0.0.2)	2024
LDLcalc: Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)	2021
ABPS: The Abnormal Blood Profile Score to Detect Blood Doping (Version 0.3)	2017
AnimalSequences: Analyse Animal Sequential Behaviour and Communication (Version 0.2.0)	2024
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 0.9.2)	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
MSCMT: Multivariate Synthetic Control Method Using Time Series (Version 1.4.0)	2016
MachineShop: Machine Learning Models and Tools (Version 3.8.0)	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)	2019
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 1.0.0)	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
SVMMaj: Implementation of the SVM-Maj Algorithm (Version 0.2.9.2)	2011
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 3.0.4)	2022
TSGS: Trait Specific Gene Selection using SVM and GA (Version 1.0)	2021
WeightSVM: Subject Weighted Support Vector Machines (Version 1.7-16)	2020
ampir: Predict Antimicrobial Peptides (Version 1.1.0)	2019
aum: Area Under Minimum of False Positives and Negatives (Version 2024.6.19)	2022
aweSOM: Interactive Self-Organizing Maps (Version 1.3)	2021
bootcluster: Bootstrapping Estimates of Clustering Stability (Version 0.3.2)	2017
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
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 2.1-1)	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 1.3.0)	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
ehymet: Methodologies for Functional Data Based on the Epigraph and Hypograph Indices (Version 0.1.0)	2024
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
fastml: Fast Machine Learning Model Training and Evaluation (Version 0.1.0)	0
finnts: Microsoft Finance Time Series Forecasting Framework (Version 0.5.0)	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 2.2-13)	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
ggscidca: Plotting Decision Curve Analysis with Coloured Bars (Version 0.2.3)	2024
gkmSVM: Gapped-Kmer Support Vector Machine (Version 0.83.0)	2015
healthyR.ts: The Time Series Modeling Companion to 'healthyR' (Version 0.3.1)	2021
iForecast: Machine Learning Time Series Forecasting (Version 1.0.9)	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
kerntools: Kernel Functions and Tools for Machine Learning Applications (Version 1.1.0)	2024
kfda: Kernel Fisher Discriminant Analysis (Version 1.0.0)	2017
kpcaIG: Variables Interpretability with Kernel PCA (Version 1.0)	2024
kpcalg: Kernel PC Algorithm for Causal Structure Detection (Version 1.0.1)	2017
ks: Kernel Smoothing (Version 1.14.3)	2005
loon: Interactive Statistical Data Visualization (Version 1.4.1)	2017
lsirm12pl: Latent Space Item Response Model (Version 1.3.3)	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
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.10)	2020
mlr: Machine Learning in R (Version 2.19.2)	2013
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.0)	2019
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.3.1)	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 0.8.2)	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
prediction: Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)	2016
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 1.1.0)	2017
rminer: Data Mining Classification and Regression Methods (Version 1.4.8)	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 0.1.2)	2024
ssc: Semi-Supervised Classification Methods (Version 2.1-0)	2016
stacks: Tidy Model Stacking (Version 1.0.5)	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 0.9.5)	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 1.4-13)	2002
viralmodels: Viral Load and CD4 Lymphocytes Regression Models (Version 1.3.1)	2023
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

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