dot-standard_transform: Compute standard post-processing values
In GabrielHoffman/variancePartition: Quantify and interpret drivers of variation in multilevel gene expression experiments
.standard_transform R Documentation
Compute standard post-processing values
Description
These values are typically computed by eBayes
Usage
.standard_transform(fit, sigma = fit$sigma)
Arguments
fit
result of dream (MArrayLM2)
sigma
vector of standard errors used to compute t-statistic. Can be maximum likelihood estimates, or posterior means
Value
MArrayLM2 object with values computed
GabrielHoffman/variancePartition documentation built on Nov. 8, 2024, 11:17 a.m.
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| .standard_transform | R Documentation |
Compute standard post-processing values
Description
These values are typically computed by eBayes
Usage
.standard_transform(fit, sigma = fit$sigma)
Arguments
fit |
result of dream (MArrayLM2) |
sigma |
vector of standard errors used to compute t-statistic. Can be maximum likelihood estimates, or posterior means |
Value
MArrayLM2 object with values computed
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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