parglms-package: support for parallelized estimation of GLMs/GEEs
In parglms: support for parallelized estimation of GLMs/GEEs
Description
Details
Author(s)
References
Examples
Description
This package provides support for parallelized estimation of GLMs/GEEs,
catering for dispersed data.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
In version 0.0.0 we established an approach to fitting GLM from
data that have been persistently dispersed and managed by
a Registry.
Author(s)
VJ Carey <stvjc@channing.harvard.edu>
Maintainer: VJ Carey <stvjc@channing.harvard.edu>
References
This package shares an objective with the bigglm
methods of biglm. In bigglm, a small-RAM-footprint algorithm
is employed, with sequential chunking to update statistics in each iteration.
In parGLM the footprint is likewise controllable, but statistics
in each iteration are evaluated in parallel over chunks.
Examples
1
showMethods("parGLM")
parglms documentation built on Nov. 8, 2020, 5:51 p.m.
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Description Details Author(s) References Examples
Description
This package provides support for parallelized estimation of GLMs/GEEs, catering for dispersed data.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
In version 0.0.0 we established an approach to fitting GLM from
data that have been persistently dispersed and managed by
a Registry.
Author(s)
VJ Carey <stvjc@channing.harvard.edu>
Maintainer: VJ Carey <stvjc@channing.harvard.edu>
References
This package shares an objective with the bigglm
methods of biglm. In bigglm, a small-RAM-footprint algorithm
is employed, with sequential chunking to update statistics in each iteration.
In parGLM the footprint is likewise controllable, but statistics
in each iteration are evaluated in parallel over chunks.
Examples
1 | showMethods("parGLM")
|
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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