jump_cutoff: Estimate threshold of maximum p-values across two studies to...
In JUMP: Replicability Analysis of High-Throughput Experiments
jump_cutoff R Documentation
Estimate threshold of maximum p-values across two studies to control FDR.
Description
Estimate threshold of maximum p-values across two studies to control FDR.
Usage
jump_cutoff(pa_in, pb_in, xi_in, alpha_in)
Arguments
pa_in
A numeric vector of p-values from study 1.
pb_in
A numeric vector of p-values from study 2.
xi_in
The estimates of proportions of three null components.
alpha_in
The FDR level to control, default is 0.05.
Value
A list including the maximum of p-values and estimated threshold for FDR control.
JUMP documentation built on May 31, 2023, 5:22 p.m.
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| jump_cutoff | R Documentation |
Estimate threshold of maximum p-values across two studies to control FDR.
Description
Estimate threshold of maximum p-values across two studies to control FDR.
Usage
jump_cutoff(pa_in, pb_in, xi_in, alpha_in)
Arguments
pa_in |
A numeric vector of p-values from study 1. |
pb_in |
A numeric vector of p-values from study 2. |
xi_in |
The estimates of proportions of three null components. |
alpha_in |
The FDR level to control, default is 0.05. |
Value
A list including the maximum of p-values and estimated threshold for FDR control.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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