scott_fdrreg: scott_fdrreg: Wrapper for FDR regression...
In nignatiadis/ihwPaper: Reproduce figures in IHW paper
Description
Usage
Arguments
Value
References
View source: R/covariate_methods.R
Description
scott_fdrreg: Wrapper for FDR regression (https://github.com/jgscott/FDRreg)
Usage
1
scott_fdrreg(unadj_p, filterstat, alpha, df = 3, lambda = 0.01)
Arguments
unadj_p
Numeric vector of unadjusted p-values.
filterstat
Factor to which different hypotheses belong
alpha
Significance level at which to apply method
df
Degrees of freedom for B-slines
lambda
Ridge regularization parameter
Value
FDRreg multiple testing object
References
James G. Scott, Ryan C. Kelly, Matthew A. Smith, Pengcheng Zhou, and Robert E. Kass.
"False discovery rate regression: application to neural synchrony detection in primary visual cortex."
Journal of the American Statistical Association (2015).
nignatiadis/ihwPaper documentation built on Jan. 18, 2021, 3:13 p.m.
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Description Usage Arguments Value References
View source: R/covariate_methods.R
Description
scott_fdrreg: Wrapper for FDR regression (https://github.com/jgscott/FDRreg)
Usage
1 | scott_fdrreg(unadj_p, filterstat, alpha, df = 3, lambda = 0.01)
|
Arguments
unadj_p |
Numeric vector of unadjusted p-values. |
filterstat |
Factor to which different hypotheses belong |
alpha |
Significance level at which to apply method |
df |
Degrees of freedom for B-slines |
lambda |
Ridge regularization parameter |
Value
FDRreg multiple testing object
References
James G. Scott, Ryan C. Kelly, Matthew A. Smith, Pengcheng Zhou, and Robert E. Kass. "False discovery rate regression: application to neural synchrony detection in primary visual cortex." Journal of the American Statistical Association (2015).
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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