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IOLS
View on CRAN: Click
here
Download and install IOLS package within the R console
Install from CRAN:
install.packages("IOLS")
Install from Github:
library("remotes")
install_github("cran/IOLS") Install by package version:
library("remotes")
install_version("IOLS", "0.1.4") Attach the package and use:
library("IOLS")
Maintained by
Nassim Zbalah
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-08
Latest Update: 2023-04-07
Description:
Addresses the 'log of zero' by developing a new family of
estimators called iterated Ordinary Least Squares.
This family nests standard approaches such as log-linear and
Poisson regressions, offers several computational advantages,
and corresponds to the correct way to perform the popular
log(Y + 1) transformation. For more details about how to use it,
see the notebook at: .
How to cite:
Nassim Zbalah (2022). IOLS: Iterated Ordinary Least Squares Regression. R package version 0.1.4, https://cran.r-project.org/web/packages/IOLS. Accessed 22 Sep. 2026.
Previous versions and publish date:
Other packages that cited IOLS R package
View IOLS citation profile
Other R packages that IOLS depends,
imports, suggests or enhances
Complete documentation for IOLS
Functions, R codes and Examples using
the IOLS R package
Some associated functions: DATASET . iOLS . iOLS_path . iOLS_path_plot . iOLS_plot . lambda_test . print .
Some associated R codes: DATASET_documentation.R . c_.R . iOLS.R . iOLS_path.R . iOLS_path_plot.R . iOLS_plot.R . lambda_test.R . print_Lambda_test.R . print_iOLS.R . print_iOLS_path.R . Full IOLS package functions and examples
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