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IOLS  

Iterated Ordinary Least Squares Regression
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]
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 06 May. 2025.
Previous versions and publish date:
0.1.0 (2022-11-08 15:00), 0.1.1 (2022-11-24 11:50), 0.1.2 (2023-02-11 15:40), 0.1.3 (2023-03-18 22:10)
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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