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bigReg
View on CRAN: Click
here
Download and install bigReg package within the R console
Install from CRAN:
install.packages("bigReg")
Install from Github:
library("remotes")
install_github("cran/bigReg") Install by package version:
library("remotes")
install_version("bigReg", "0.1.5") Attach the package and use:
library("bigReg")
Maintained by
Chibisi Chima-Okereke
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-25
Latest Update: 2023-12-11
Description:
Allows the user to carry out GLM on very large
data sets. Data can be created using the data_frame() function and appended
to the object with object$append(data); data_frame and data_matrix objects
are available that allow the user to store large data on disk. The data is
stored as doubles in binary format and any character columns are transformed
to factors and then stored as numeric (binary) data while a look-up table is
stored in a separate .meta_data file in the same folder. The data is stored in
blocks and GLM regression algorithm is modified and carries out a MapReduce-
like algorithm to fit the model. The functions bglm(), and summary()
and bglm_predict() are available for creating and post-processing of models.
The library requires Armadillo installed on your system. It may not
function on windows since multi-core processing is done using mclapply()
which forks R on Unix/Linux type operating systems.
How to cite:
Chibisi Chima-Okereke (2016). bigReg: Generalized Linear Models (GLM) for Large Data Sets. R package version 0.1.5, https://cran.r-project.org/web/packages/bigReg. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.2 (2016-07-25 19:17)
Other packages that cited bigReg R package
View bigReg citation profile
Other R packages that bigReg depends,
imports, suggests or enhances
Complete documentation for bigReg
Functions, R codes and Examples using
the bigReg R package
Some associated functions: CreateFactor . Gamma_ . SVD . XWXMatrix . XWXMatrixW . asInteger . bglm . bglm_predict . binomial_ . blm . data_frame . data_matrix . dot-control . family_ . gaussian_ . inverse.gaussian_ . load_data_frame . load_data_matrix . myIn . mySeq . plasma . poisson_ . print.bglm . print.blm . print.data_frame . print.data_matrix . print.summary.bglm . print.summary.blm . process_bglm_block . quasi_ . quasibinomial_ . quasipoisson_ . r_bind . readNumericVector . read_df_block . read_df_blocks . read_matrix_block . read_matrix_blocks . sum_bglm_block . summary.bglm . summary.blm . writeNumericVector . write_numeric_vector .
Some associated R codes: RcppExports.R . Full bigReg package functions and examples
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