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biglmm  

Bounded Memory Linear and Generalized Linear Models
View on CRAN: Click here


Download and install biglmm package within the R console
Install from CRAN:
install.packages("biglmm")

Install from Github:
library("remotes")
install_github("cran/biglmm")

Install by package version:
library("remotes")
install_version("biglmm", "0.9-3")



Attach the package and use:
library("biglmm")
Maintained by
Mark Purver
[Scholar Profile | Author Map]
First Published: 2018-07-31
Latest Update: 2020-05-26
Description:
Regression for data too large to fit in memory. This package functions exactly like the 'biglm' package, but works with later versions of R.
How to cite:
Mark Purver (2018). biglmm: Bounded Memory Linear and Generalized Linear Models. R package version 0.9-3, https://cran.r-project.org/web/packages/biglmm. Accessed 10 Jan. 2025.
Previous versions and publish date:
0.9-1 (2018-07-31 12:20), 0.9-2 (2020-05-26 09:12)
Other packages that cited biglmm R package
View biglmm citation profile
Other R packages that biglmm depends, imports, suggests or enhances
Complete documentation for biglmm
Functions, R codes and Examples using the biglmm R package
Some associated functions: bigglm . biglm . predict.bigglm . 
Some associated R codes: bigglm.R . biglm.R . bigqr.init.R . coef.biglm.R . coef.bigqr.R . extractors.R . odbc.R . predict.R . singcheck.bigqr.R . sqlite.R . update.biglm.R . update.bigqr.R . vcov.biglm.R .  Full biglmm package functions and examples
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