calc_fdr_col: Calculate the empirical false discovery rate (FDR) for a...
In kjgleason/Primo: Package in R for Integrative Multi-Omics association analysis
Description
Usage
Arguments
Details
Value
Description
Calculate the empirical false discovery rate (FDR) of a
column in a matrix of posterior probabilities given a specified threshold.
Usage
1
calc_fdr_col(post_prob, threshold, col_name = NULL, col_idx = NULL)
Arguments
post_prob
numeric matrix of posterior probabilities.
threshold
numeric value of the posterior probability threshold at which to
calculate the empirical FDR.
col_name
character string of the column name.
col_idx
integer of the column index.
Details
At least one of col_name or col_idx must be specified.
Value
A numeric value of the empirical false discovery rate (FDR).
kjgleason/Primo documentation built on Sept. 7, 2021, 3:58 a.m.
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Description Usage Arguments Details Value
Description
Calculate the empirical false discovery rate (FDR) of a column in a matrix of posterior probabilities given a specified threshold.
Usage
1 | calc_fdr_col(post_prob, threshold, col_name = NULL, col_idx = NULL)
|
Arguments
post_prob |
numeric matrix of posterior probabilities. |
threshold |
numeric value of the posterior probability threshold at which to calculate the empirical FDR. |
col_name |
character string of the column name. |
col_idx |
integer of the column index. |
Details
At least one of col_name or col_idx must be specified.
Value
A numeric value of the empirical false discovery rate (FDR).
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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