R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
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", "1.5.0") 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 1.5.0, https://cran.r-project.org/web/packages/familiar. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 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)
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
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
r2resize
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
lsmeans
Least-Squares Means
Obtain least-squares means for linear, generalized linear,
and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Russell Lenth (view profile)
RRedshiftSQL
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Michael Treadwell (view profile)
SAMBA
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained
popularity, but miscla ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alexander Rix (view profile)
TMDb
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Andrea Capozio (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
