Thomas Farrar
2020-Jan-13 08:03 UTC
[R] [R-pkgs] Introducing skedastic: Heteroskedasticity Diagnostics for Linear Regression Models
Dear All, I would like to introduce the above-named new package that is now available on CRAN: https://cran.r-project.org/web/packages/skedastic/index.html The package features numerous 'classical' heteroskedasticity tests (some not previously available in any published R package) as well as one very new test that appeared in the literature only in 2019. Feedback on bugs/issues is most welcome at https://github.com/tjfarrar/skedastic and reviews are welcome at crantastic: https://crantastic.org/packages/skedastic Sincerely, Thomas Farrar Cape Peninsula University of Technology; University of the Western Cape [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages
Possibly Parallel Threads
- Introducing skedastic: Heteroskedasticity Diagnostics for Linear Regression Models
- Heteroskedasticity and autocorrelation of residuals
- Help with simulation of heteroskedasticity
- correct standard errors (heteroskedasticity) using survey design
- using lmer weights argument to represent heteroskedasticity