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)
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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 = {Chen, Yiqun T. and Williamson, Brian D. and Okonek, Taylor and Wolock, Charles J. and Spieker, Andrew J. and Wai, Travis Y. Hee and Hughes, James P. and Emerson, Scott S. and Willis, Amy D.}, 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