heatmap_pvEBayes {pvEBayes} | R Documentation |
Generate a heatmap plot visualizing posterior probabilities for selected drugs and adverse events
Description
This function generates a heatmap to visualize the posterior probabilities of being a signal for selected AEs and drugs.
Usage
heatmap_pvEBayes(
x,
num_top_AEs = 10,
num_top_drugs = 8,
specified_AEs = NULL,
specified_drugs = NULL,
cutoff_signal = NULL
)
Arguments
x |
a |
num_top_AEs |
number of most significant AEs appearing in the plot. Default to 10. |
num_top_drugs |
number of most significant drugs appearing in the plot. Default to 7. |
specified_AEs |
a vector of AE names that are specified to appear in the plot. If a vector of AEs is given, argument num_top_AEs will be ignored. |
specified_drugs |
a vector of drug names that are specified to appear in the plot. If a vector of drugs is given, argument num_top_drugs will be ignored. |
cutoff_signal |
numeric. Threshold for signal detection. An AE-drug combination is classified as a detected signal if its 5th posterior percentile exceeds this threshold. |
Value
a ggplot2 object.
Examples
fit <- pvEBayes(
contin_table = statin2025_44, model = "general-gamma",
alpha = 0.3, n_posterior_draws = 1000
)
heatmap_pvEBayes(
x = fit,
cutoff = 1.001
)