rigr: Regression, Inference, and General Data Analysis Tools in R

R Submitted 22 September 2022Published 26 December 2022
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Editor: @osorensen (all papers)
Reviewers: @stefanocoretta (all reviews), @tomsing1 (all reviews)

Authors

Yiqun T. Chen (0000-0002-4100-1507), Brian D. Williamson (0000-0002-7024-548X), Taylor Okonek, Charles J. Wolock, Andrew J. Spieker, Travis Y. Hee Wai, James P. Hughes, Scott S. Emerson, Amy D. Willis (0000-0002-2802-4317)

Citation

Chen et al., (2022). rigr: Regression, Inference, and General Data Analysis Tools in R. Journal of Open Source Software, 7(80), 4847, https://doi.org/10.21105/joss.04847

@article{Chen2022, doi = {10.21105/joss.04847}, url = {https://doi.org/10.21105/joss.04847}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {80}, pages = {4847}, author = {Yiqun T. Chen and Brian D. Williamson and Taylor Okonek and Charles J. Wolock and Andrew J. Spieker and Travis Y. Hee Wai and James P. Hughes and Scott S. Emerson and Amy D. Willis}, title = {rigr: Regression, Inference, and General Data Analysis Tools in R}, journal = {Journal of Open Source Software} }
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inference regression analysis data analysis robust standard errors

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ISSN 2475-9066