mlr_filters_carsurvscore {mlr3filters}

Correlation-Adjusted Survival Score Filter

Description

Calculates CARS scores for right-censored survival tasks. Calls the implementation in carSurv::carSurvScore() in package carSurv.

Super class

mlr3filters::Filter -> FilterCarSurvScore

Methods

Public methods

• FilterCarSurvScore$new()

• FilterCarSurvScore$clone()

Inherited methods

• mlr3filters::Filter$calculate()
• mlr3filters::Filter$format()
• mlr3filters::Filter$help()
• mlr3filters::Filter$print()

Method new()

Create a FilterCarSurvScore object.

Usage

FilterCarSurvScore$new()

Method clone()

The objects of this class are cloneable with this method.

Usage

FilterCarSurvScore$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

Bommert A, Welchowski T, Schmid M, Rahnenführer J (2021). “Benchmark of filter methods for feature selection in high-dimensional gene expression survival data.” Briefings in Bioinformatics, 23(1). doi:0.1093/bib/bbab354.

See Also

• PipeOpFilter for filter-based feature selection.

• Dictionary of Filters: mlr_filters

Other Filter: Filter, mlr_filters, mlr_filters_anova, mlr_filters_auc, mlr_filters_boruta, mlr_filters_carscore, mlr_filters_cmim, mlr_filters_correlation, mlr_filters_disr, mlr_filters_find_correlation, mlr_filters_importance, mlr_filters_information_gain, mlr_filters_jmi, mlr_filters_jmim, mlr_filters_kruskal_test, mlr_filters_mim, mlr_filters_mrmr, mlr_filters_njmim, mlr_filters_performance, mlr_filters_permutation, mlr_filters_relief, mlr_filters_selected_features, mlr_filters_univariate_cox, mlr_filters_variance