Description Usage Arguments Value References Examples
apf_fdr
returns robust estimates of the Average Power Function (APF)
and Bayes False Discovery Rate (FDR) for each value of the threshold Gamma
on the p-value and Tau on the correlation coefficient.
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data |
Either a vector, matrix or dataframe. |
type |
Set |
corr |
The type of correlation to use when |
lobs |
When |
seed |
A seed (natural number) for the resampling. |
gamm |
The threshold gamma on the p-values to explore (typically ≤ 0.05 or 0.1). A min, max and step length value need to be set. |
A list with four elements. A vector APF_gamma
containing the robust
estimates of APF (5th quantiles) for all the gamma values set in gamm
. A vector
FDR_gamma
with the robust estimates of Bayes FDR (95th quantiles). A
vector tau_gamma
with the correlation coefficients tau for each gamma
value explored and another vector with the relative values gamma (gammaval
).
Quatto, P, Margaritella, N, et al. Brain networks construction using Bayes FDR and average power function. Stat Methods Med Res. Published online May 14th, 2019; DOI:10.1177/0962280219844288.
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