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familiar
End-to-End Automated Machine Learning and Model Evaluation
View on CRAN: Click
here
Download and install familiar package within the R console
Install from CRAN:
install.packages("familiar")
Install from Github:
library("remotes")
install_github("cran/familiar") Install by package version:
library("remotes")
install_version("familiar", "2.0.3") Attach the package and use:
library("familiar")
Maintained by
Alex Zwanenburg
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-03
Latest Update: 2024-09-23
Description:
Single unified interface for end-to-end modelling of regression,
categorical and time-to-event (survival) outcomes. Models created using
familiar are self-containing, and their use does not require additional
information such as baseline survival, feature clustering, or feature
transformation and normalisation parameters. Model performance,
calibration, risk group stratification, (permutation) variable importance,
individual conditional expectation, partial dependence, and more, are
assessed automatically as part of the evaluation process and exported in
tabular format and plotted, and may also be computed manually using export
and plot functions. Where possible, metrics and values obtained during the
evaluation process come with confidence intervals.
How to cite:
Alex Zwanenburg (2022). familiar: End-to-End Automated Machine Learning and Model Evaluation. R package version 2.0.3, https://cran.r-project.org/web/packages/familiar. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-08-21 23:01), 1.0.0 (2022-02-03 10:20), 1.1.0 (2022-04-07 21:52), 1.2.0 (2022-08-16 14:40), 1.3.0 (2022-10-16 00:42), 1.4.0 (2022-11-23 22:20), 1.4.1 (2022-12-17 09:40), 1.4.6 (2024-01-24 14:40), 1.4.8 (2024-05-24 23:10), 1.5.0 (2024-09-23 17:50), 2.0.0 (2026-04-23 12:50), 2.0.1 (2026-05-22 20:50), 2.0.2 (2026-06-01 19:30)
Other packages that cited familiar R package
View familiar citation profile
Other R packages that familiar depends,
imports, suggests or enhances
Complete documentation for familiar
Functions, R codes and Examples using
the familiar R package
Some associated functions: aggregate_vimp_table-methods . as_data_object-methods . as_familiar_collection-methods . as_familiar_data-methods . as_familiar_ensemble-methods . coef-methods . create_randomised_groups . dataObject-class . dot-check_class_level_plausibility . dot-check_feature_availability . dot-check_input_identifier_column . dot-check_outcome_type_plausibility . dot-check_survival_time_plausibility . dot-finish_data_preparation . dot-get_default_sign_size . dot-get_iteration_data . dot-impute_outcome_type . dot-load_iterations . dot-parse_categorical_features . dot-parse_evaluation_settings . dot-parse_experiment_settings . dot-parse_feature_selection_settings . dot-parse_file_paths . dot-parse_general_settings . dot-parse_hyperparameter_optimisation_settings . dot-parse_initial_settings . dot-parse_model_development_settings . dot-parse_preprocessing_settings . dot-parse_setup_settings . dot-plot_permutation_variable_importance . dot-plot_univariate_importance . dot-prepare_familiar_data_sets . dot-update_experimental_design_settings . dot-update_initial_settings . encapsulate_path . experimentData-class . export_all-methods . export_auc_data-methods . export_calibration_data-methods . export_calibration_info-methods . export_confusion_matrix_data-methods . export_decision_curve_analysis_data-methods . export_feature_expressions-methods . export_feature_similarity-methods . export_fs_vimp-methods . export_hyperparameters-methods . export_ice_data-methods . export_model_performance-methods . export_model_vimp-methods . export_partial_dependence_data-methods . export_permutation_vimp-methods . export_prediction_data-methods . export_risk_stratification_data-methods . export_risk_stratification_info-methods . export_sample_similarity-methods . export_univariate_analysis_data-methods . extract_auc_data . extract_calibration_data . extract_calibration_info . extract_confusion_matrix . extract_data . extract_decision_curve_data . extract_dispatcher-familiarEnsemble-familiarDataElement-method . extract_experimental_setup . extract_feature_expression . extract_feature_similarity . extract_fs_vimp . extract_hyperparameters . extract_ice . extract_model_vimp . extract_performance . extract_permutation_vimp . extract_predictions . extract_risk_stratification_data . extract_risk_stratification_info . extract_sample_similarity . extract_univariate_analysis . familiar . familiarCollection-class . familiarData-class . familiarDataElement-class . familiarEnsemble-class . familiarHyperparameterLearner-class . familiarMetric-class . familiarModel-class . familiarNoveltyDetector-class . familiarVimpMethod-class . featureInfo-class . featureInfoParameters-class . get_class_names-familiarCollection-method . get_data_set_names-familiarCollection-method . get_feature_names-familiarCollection-method . get_fs_method_names-familiarCollection-method . get_learner_names-familiarCollection-method . get_risk_group_names-familiarCollection-method . get_vimp_table-methods . get_xml_config . is.encapsulated_path . is.waive . outcomeInfo-class . plot_auc_precision_recall_curve-methods . plot_auc_roc_curve-methods . plot_calibration_data-methods . plot_confusion_matrix-methods . plot_decision_curve-methods . plot_feature_similarity-methods . plot_ice-methods . plot_kaplan_meier-methods . plot_model_performance-methods . plot_pd-methods . plot_permutation_variable_importance-methods . plot_sample_clustering-methods . plot_univariate_importance-methods . plot_variable_importance-methods . plotting.check_data_handling . plotting.check_input_args . precompute_data_assignment . precompute_feature_info . precompute_vimp . predict-methods . set_class_names-familiarCollection-method . set_data_set_names-familiarCollection-method . set_feature_names-familiarCollection-method . set_fs_method_names-familiarCollection-method . set_learner_names-familiarCollection-method . set_object_name-familiarData-method . set_object_name-familiarEnsemble-method . set_object_name-familiarModel-method . set_risk_group_names-familiarCollection-method . summary-methods . summon_familiar . theme_familiar . train_familiar . update_model_dir_path-methods . update_object-methods . vcov-methods . vimpTable-class . waiver .
Some associated R codes: BatchNormalisation.R . BootstrapConfidenceInterval.R . CheckArguments.R . CheckHyperparameters.R . CheckPackages.R . ClassBalance.R . ClusterRepresentation.R . Clustering.R . ClusteringMethod.R . CombatNormalisation.R . DataObject.R . DataParameterChecks.R . DataPreProcessing.R . DataProcessing.R . DataServerBackend.R . ErrorMessages.R . Evaluation.R . ExperimentData.R . ExperimentSetup.R . Familiar.R . FamiliarCollection.R . FamiliarCollectionExport.R . FamiliarData.R . FamiliarDataComputation.R . FamiliarDataComputationAUCCurves.R . FamiliarDataComputationCalibrationData.R . FamiliarDataComputationCalibrationInfo.R . FamiliarDataComputationConfusionMatrix.R . FamiliarDataComputationDecisionCurveAnalysis.R . FamiliarDataComputationFeatureExpression.R . FamiliarDataComputationFeatureSimilarity.R . FamiliarDataComputationHyperparameters.R . FamiliarDataComputationICE.R . FamiliarDataComputationModelPerformance.R . FamiliarDataComputationPermutationVimp.R . FamiliarDataComputationPredictionData.R . FamiliarDataComputationRiskStratificationData.R . FamiliarDataComputationRiskStratificationInfo.R . FamiliarDataComputationSampleSimilarity.R . FamiliarDataComputationUnivariateAnalysis.R . FamiliarDataComputationVimp.R . FamiliarDataElement.R . FamiliarEnsemble.R . FamiliarHyperparameterLearner.R . FamiliarModel.R . FamiliarNoveltyDetector.R . FamiliarObjectConversion.R . FamiliarObjectUpdate.R . FamiliarS4Classes.R . FamiliarS4Generics.R . FamiliarSharedS4Methods.R . FamiliarVimpMethod.R . FeatureInfo.R . FeatureInfoParameters.R . FeatureSelection.R . FunctionWrapperUtilities.R . HyperparameterOptimisation.R . HyperparameterOptimisationMetaLearners.R . HyperparameterOptimisationUtilities.R . HyperparameterS4BayesianAdditiveRegressionTrees.R . HyperparameterS4GaussianProcess.R . HyperparameterS4RandomSearch.R . HyperparameterS4Ranger.R . Imputation.R . Iterations.R . LearnerMain.R . LearnerRecalibration.R . LearnerS4Cox.R . LearnerS4GLM.R . LearnerS4GLMnet.R . LearnerS4KNN.R . LearnerS4MBoost.R . LearnerS4Naive.R . LearnerS4NaiveBayes.R . LearnerS4RFSRC.R . LearnerS4Ranger.R . LearnerS4SVM.R . LearnerS4SurvivalRegression.R . LearnerS4XGBoost.R . LearnerSurvivalGrouping.R . LearnerSurvivalProbability.R . Logger.R . MetricS4.R . MetricS4AUC.R . MetricS4Brier.R . MetricS4ConcordanceIndex.R . MetricS4ConfusionMatrixMetrics.R . MetricS4Regression.R . ModelBuilding.R . Normalisation.R . NoveltyDetectorMain.R . NoveltyDetectorS4IsolationTree.R . NoveltyDetectorS4NoneNoveltyDetector.R . OutcomeInfo.R . PairwiseSimilarity.R . ParallelFunctions.R . ParseData.R . ParseSettings.R . PlotAUCcurves.R . PlotAll.R . PlotCalibration.R . PlotColours.R . PlotConfusionMatrix.R . PlotDecisionCurves.R . PlotFeatureRanking.R . PlotFeatureSimilarity.R . PlotGTable.R . PlotICE.R . PlotInputArguments.R . PlotKaplanMeier.R . PlotModelPerformance.R . PlotPermutationVariableImportance.R . PlotSampleClustering.R . PlotUnivariateImportance.R . PlotUtilities.R . PredictS4Methods.R . ProcessTimeUtilites.R . Random.R . RandomGrouping.R . RankBordaAggregation.R . RankMain.R . RankSimpleAggregation.R . RankStabilityAggregation.R . SocketServer.R . StringUtilities.R . TestDataCreators.R . TestFunctions.R . TrainS4Methods.R . Transformation.R . TrimUtilities.R . Utilities.R . UtilitiesS4.R . VimpMain.R . VimpS4Concordance.R . VimpS4CoreLearn.R . VimpS4Correlation.R . VimpS4MutualInformation.R . VimpS4OtherMethods.R . VimpS4Regression.R . VimpTable.R . aaa.R . Full familiar package functions and examples
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