rbetauniform: Random draw function for Beta-uniform model
In adamsardar/metaDEGth: Combining differential expression P-values in a statistically consistent fashion whilst respecting background signal/noise trends
View source: R/fitBetaUniformModel.R
rbetauniform R Documentation
Random draw function for Beta-uniform model
Description
Random draw function for Beta-uniform model
Usage
rbetauniform(n, a, lambda)
Arguments
n
number of trials
a
non-negative parameter of the Beta distribution
lambda
parameter
References
Pounds, S., & Morris, S. W. (2003). Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values. Bioinformatics
adamsardar/metaDEGth documentation built on Sept. 28, 2022, 10:12 p.m.
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View source: R/fitBetaUniformModel.R
| rbetauniform | R Documentation |
Random draw function for Beta-uniform model
Description
Random draw function for Beta-uniform model
Usage
rbetauniform(n, a, lambda)
Arguments
n |
number of trials |
a |
non-negative parameter of the Beta distribution |
lambda |
parameter |
References
Pounds, S., & Morris, S. W. (2003). Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values. Bioinformatics
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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