olsrr
Tools for Building OLS Regression Models
Tools designed to make it easier for users, particularly beginner/intermediate R users to build ordinary least squares regression models. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
- Trending package
- https://olsrr.rsquaredacademy.com/
- GitHub
- File a bug report
- olsrr results
- olsrr.pdf
- Version0.6.1
- R version≥ 3.3
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release11/06/2024
Documentation
- VignetteHeteroscedasticity
- Vignettesource
- VignetteR code
- VignetteMeasures of Influence
- Vignettesource
- VignetteR code
- VignetteIntroduction to olsrr
- Vignettesource
- VignetteR code
- VignetteMedia
- Vignettesource
- VignetteCollinearity Diagnostics, Model Fit & Variable Contribution
- Vignettesource
- VignetteR code
- VignetteResidual Diagnostics
- Vignettesource
- VignetteR code
- VignetteVariable Selection Methods
- Vignettesource
- VignetteR code
- MaterialREADME
- MaterialNEWS
Team
Aravind Hebbali
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Dependencies
- Depends1 package
- Imports9 packages
- Suggests6 packages
- Reverse Imports3 packages
- Reverse Suggests1 package