| SeqFDR {MRPC} | R Documentation |
Sequential FDR
Description
Sequential FDR method that controls the FDR and mFDR in an online manner.
Usage
SeqFDR(m, FDR, a=2, R)
Arguments
m |
The number of current the test. |
FDR |
FDR level. |
a |
A constant. |
R |
All of the decisions from the tests that have already been performed. |
Details
We used the LOND (significance Levels based On Number of Discoveries) algorithm that controls FDR in an online manner (Javanmard and Montanari, 2015). The significance level (i.e., the type I error rate) is dynamic and based on the total number of discoveries made so far.
Value
The value of alpha.
Author(s)
Md Bahadur Badsha (mbbadshar@gmail.com)
References
1. Javanmard A and Montanari A (2015). On Online Control of False Discovery Rate. arXiv:150206197.
See Also
MRPC for estimating a DAG using the Mendelian Randomization (MR) based (MRPC) algorithm; ModiSkeleton for estimating a skeleton using modified skeleton function.