vcov-MArrayLM2-method: Co-variance matrix for 'dream()' fit
In GabrielHoffman/variancePartition: Quantify and interpret drivers of variation in multilevel gene expression experiments
vcov,MArrayLM2-method R Documentation
Co-variance matrix for dream() fit
Description
Define generic vcov() for result of lmFit() and dream()
Usage
## S4 method for signature 'MArrayLM2'
vcov(object, vobj, coef)
Arguments
object
MArrayLM object return by lmFit() or dream()
vobj
EList object returned by voom()
coef
name of coefficient to be extracted
Value
variance-covariance matrix
GabrielHoffman/variancePartition documentation built on April 30, 2024, 10:01 p.m.
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| vcov,MArrayLM2-method | R Documentation |
Co-variance matrix for dream() fit
Description
Define generic vcov() for result of lmFit() and dream()
Usage
## S4 method for signature 'MArrayLM2'
vcov(object, vobj, coef)
Arguments
object |
|
vobj |
|
coef |
name of coefficient to be extracted |
Value
variance-covariance matrix
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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