Package: nRegression 0.5.1

nRegression: Simulation-Based Calculations of Sample Size for Linear and Logistic Regression

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.

Authors:David Shilane [aut], Srivastav Budugutta [ctb, cre], Mayur Bansal [ctb]

nRegression_0.5.1.tar.gz
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nRegression.pdf |nRegression.html✨
nRegression/json (API)

# Install 'nRegression' in R:
install.packages('nRegression', repos = c('https://srivastavbudugutta.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 4 scripts 643 downloads 1 exports 17 dependencies

Last updated 1 years agofrom:7bea826310. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:nRegression

Dependencies:askpasscovrcrayoncurldata.tabledigesthttrjsonlitelazyevalmimeopensslR6rexsimitationsyswithryaml

Introduction to nRegression

Rendered fromIntroduction_to_nRegression.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-10-15
Started: 2023-10-15