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nRegression  

Simulation-Based Calculations of Sample Size for Linear and Logistic Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nRegression", "0.5.1")



Attach the package and use:
library("nRegression")
Maintained by
Srivastav Budugutta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-15
Latest Update: 2023-10-17
Description:
Provides a function designed to estimate the minimal sample size required to attain a specific statistical power in the context of linear regression and logistic regression models through simulations.
How to cite:
Srivastav Budugutta (2023). nRegression: Simulation-Based Calculations of Sample Size for Linear and Logistic Regression. R package version 0.5.1, https://cran.r-project.org/web/packages/nRegression. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:23), 0.0.5 (2023-10-15 09:50)
Other packages that cited nRegression R package
View nRegression citation profile
Other R packages that nRegression depends, imports, suggests or enhances
Complete documentation for nRegression
Functions, R codes and Examples using the nRegression R package
Some associated functions: nRegression . 
Some associated R codes: global.R . nRegression.R .  Full nRegression package functions and examples
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