ResidualMatrix-package: The 'ResidualMatrix' package
In LTLA/ResidualMatrix: Creating a DelayedMatrix of Regression Residuals
ResidualMatrix-package R Documentation
The ResidualMatrix package
Description
Originally implemented in the BiocSingular package,
the ResidualMatrix class has been placed into its own package to enable greater re-use.
This class provides delayed computation of residuals from a linear model fit,
allowing us to represent large matrices of residuals without actually calculating them in memory.
The idea is to allow us to easily regress out uninteresting factors for big datasets,
much like a delayed, scalable version of limma's venerable removeBatchEffect function.
LTLA/ResidualMatrix documentation built on June 25, 2024, 3:18 a.m.
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| ResidualMatrix-package | R Documentation |
The ResidualMatrix package
Description
Originally implemented in the BiocSingular package,
the ResidualMatrix class has been placed into its own package to enable greater re-use.
This class provides delayed computation of residuals from a linear model fit,
allowing us to represent large matrices of residuals without actually calculating them in memory.
The idea is to allow us to easily regress out uninteresting factors for big datasets,
much like a delayed, scalable version of limma's venerable removeBatchEffect function.
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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