RFlocalfdr - Significance Level for Random Forest Impurity Importance Scores
Sets a significance level for Random Forest MDI (Mean Decrease in Impurity, Gini or sum of squares) variable importance scores, using an empirical Bayes approach. See Dunne et al. (2022) <doi:10.1101/2022.04.06.487300>.
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4.00 score 1 stars 6 scripts 179 downloadsRFlocalfdr.data - Data for the Vignette and Examples in 'RFlocalfdr'
Data for the vignette and examples in 'RFlocalfdr'. Contains a dataset of 1103547 importance values, and the table of variables used in the random forest splits. The data is Chromosome 22 taken from Auton et al. (2015) <doi:10.1038/nature15393>. It also contains a 51 samples by 22283 genes data set taken from Spira et al. (2004) <doi:10.1165/rcmb.2004-0273OC>.
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1.36 score 23 scripts 158 downloads