summary_stat {adapt4pv}

Summary statistics for main adapt4pv package functions

Description

Return the Sensitivity and the False Discovery Rate of an approach implemeted by the main functions of adapt4pv package.

Usage

summary_stat(object, true_pos, q = 10)

Arguments

object

An object of class "log.lasso", "cisl", "adaptive" and "*", "ps","**" where "*" is either "adjust", "iptw" or "mw" and "**" is either "bic", "hdps" or "xgb".

true_pos

Character vector, names of the true positives controls

q

Quantile value for variable selection with an object of class "cisl". Possible values are 5, 10, 15, 20. Default is 10

Value

A data frame wich details for the signal detection method implemented in object: its number of generated signals, its sensitivity and its false discovery rate.

Author(s)

Emeline Courtois
Maintainer: Emeline Courtois [e-mail]

Examples

set.seed(15)
drugs <- matrix(rbinom(100*20, 1, 0.2), nrow = 100, ncol = 20)
colnames(drugs) <- paste0("drugs",1:ncol(drugs))
ae <- rbinom(100, 1, 0.3)
lcv <- lasso_cv(x = drugs, y = ae, nfolds = 3)
summary_stat(object = lcv, true_pos = colnames(drugs)[1:10])
# the data are not simulated in such a way that there are true positives