Volcano plot of the log-changes in the target causal paramter against the log raw p-values from the moderated t-test.

volcano_ic(biotmle, ate_bound = 1, pval_bound = 0.2)

## Arguments

biotmle object of class biotmle as produced by an appropriate call to biomarkertmle A numeric indicating the highest magnitude of the average treatment effect to be colored on the x-axis of the volcano plot; this limits the observations to be considered differentially expressed to those in a user-specified interval. A numeric indicating the largest corrected p-value to be colored on the y-axis of the volcano plot; this limits observations considered as differentially expressed to those in a user-specified interval.

## Value

object of class ggplot containing a standard volcano plot of the log-fold change in the causal target parameter against the raw log p-value computed from the moderated tests in modtest_ic.

## Examples

if (FALSE) {
library(dplyr)
library(biotmleData)
library(SuperLearner)
library(SummarizedExperiment)

data.frame() %>%
mutate(age = as.numeric(age > median(age))) %>%
DataFrame()

biomarkerTMLEout <- biomarkertmle(