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.

1 exports 0.23 score 17 dependencies 4 scripts 843 downloads

Last updated 11 months agofrom:7bea826310. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:nRegression

Dependencies:askpasscovrcrayoncurldata.tabledigesthttrjsonlitelazyevalmimeopensslR6rexsimitationsyswithryaml

Introduction to nRegression

Rendered fromIntroduction_to_nRegression.Rmdusingknitr::rmarkdownon Sep 17 2024.

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