smg.bbd.power: calculates the power in a beta-binomial model for...
In KarchinLab/cancerSeqStudy: Power and False Positive Analysis of Cancer Sequencing Studies
Description
calculates the power in a beta-binomial model for
significantly mutated genes.
Usage
1
2
smg.bbd.power(my.alpha, my.beta, N, Leff = 1500 * 3/4, r = 0.02,
signif.level = 5e-06)
Arguments
my.alpha
alpha parameter for beta binomial
my.beta
beta parameter for beta binomial
N
maximum number of sample to calculate power for
Leff
effective gene length in bases
r
effect size for power analysis
signif.level
alpha level for power analysis
KarchinLab/cancerSeqStudy documentation built on May 8, 2019, 4:47 p.m.
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Description
calculates the power in a beta-binomial model for significantly mutated genes.
Usage
1 2 | smg.bbd.power(my.alpha, my.beta, N, Leff = 1500 * 3/4, r = 0.02,
signif.level = 5e-06)
|
Arguments
my.alpha |
alpha parameter for beta binomial |
my.beta |
beta parameter for beta binomial |
N |
maximum number of sample to calculate power for |
Leff |
effective gene length in bases |
r |
effect size for power analysis |
signif.level |
alpha level for power analysis |
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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