Man pages for bdwilliamson/nova
Perform Inference on Algorithm-Agnostic Variable Importance

average_vimAverage multiple independent importance estimates
bootstrap_seCompute bootstrap-based standard error estimates for variable...
check_fitted_valuesCheck pre-computed fitted values for call to vim, cv_vim, or...
check_inputsCheck inputs to a call to vim, cv_vim, or sp_vim
create_zCreate complete-case outcome, weights, and Z
cv_vimNonparametric Intrinsic Variable Importance Estimates and...
estimateEstimate a Predictiveness Measure
estimate_eif_projectionEstimate projection of EIF on fully-observed variables
estimate_nuisancesEstimate nuisance functions for average value-based VIMs
estimate.predictiveness_measureObtain a Point Estimate and Efficient Influence Function...
estimate_type_predictivenessEstimate Predictiveness Given a Type
est_predictivenessEstimate a nonparametric predictiveness functional
est_predictiveness_cvEstimate a nonparametric predictiveness functional using...
extract_sampled_split_predictionsExtract sampled-split predictions from a CV.SuperLearner...
format.predictiveness_measureFormat a 'predictiveness_measure' object
format.vimFormat a 'vim' object
get_cv_sl_foldsGet a numeric vector with cross-validation fold IDs from...
get_full_typeObtain the type of VIM to estimate using partial matching
get_test_setReturn test-set only data
make_foldsCreate Folds for Cross-Fitting
make_kfoldTurn folds from 2K-fold cross-fitting into individual K-fold...
measure_accuracyEstimate the classification accuracy
measure_anovaEstimate ANOVA decomposition-based variable importance.
measure_aucEstimate area under the receiver operating characteristic...
measure_average_valueEstimate the average value under the optimal treatment rule
measure_cross_entropyEstimate the cross-entropy
measure_devianceEstimate the deviance
measure_mseEstimate mean squared error
measure_r_squaredEstimate R-squared
merge_vimMerge multiple 'vim' objects into one
predictiveness_measureConstruct a Predictiveness Measure
print.predictiveness_measurePrint 'predictiveness_measure' objects
print.vimPrint 'vim' objects
process_arg_lstProcess argument list for Super Learner estimation of the EIF
run_slRun a Super Learner for the provided subset of features
sample_subsetsCreate necessary objects for SPVIMs
scale_estReturn an estimator on a different scale
sp_vimShapley Population Variable Importance Measure (SPVIM)...
spvim_icsInfluence function estimates for SPVIMs
spvim_seStandard error estimate for SPVIM values
vimNonparametric Intrinsic Variable Importance Estimates and...
vimpvimp: Perform Inference on Algorithm-Agnostic Intrinsic...
vimp_accuracyNonparametric Intrinsic Variable Importance Estimates:...
vimp_anovaNonparametric Intrinsic Variable Importance Estimates: ANOVA
vimp_aucNonparametric Intrinsic Variable Importance Estimates: AUC
vimp_ciConfidence intervals for variable importance
vimp_devianceNonparametric Intrinsic Variable Importance Estimates:...
vimp_hypothesis_testPerform a hypothesis test against the null hypothesis of...
vimp_regressionNonparametric Intrinsic Variable Importance Estimates: ANOVA
vimp_rsquaredNonparametric Intrinsic Variable Importance Estimates:...
vimp_seEstimate variable importance standard errors
vrc01Neutralization sensitivity of HIV viruses to antibody VRC01
bdwilliamson/nova documentation built on Feb. 1, 2024, 10:04 p.m.