summary_stat: Summary statistics for main adapt4pv package functions

In adapt4pv: Adaptive Approaches for Signal Detection in Pharmacovigilance

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

adapt4pv documentation built on May 31, 2023, 6:08 p.m.