Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments R package CR2 version 0.2.1 Estimate different types of cluster robust standard errors (CR0, CR1, CR2) with degrees of freedom adjustments. Standard errors are computed based on 'Liang and Zeger' (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ>. Functions used in Huang and Li <doi:10.3758/s13428-021-01627-0>, Huang, 'Wiedermann', and 'Zhang' <doi:10.1080/00273171.2022.2077290>, and Huang, 'Zhang', and Li (forthcoming: Journal of Research on Educational Effectiveness). Software Depends: R (>= 2.10) Imports: stats, lme4, nlme, Matrix, methods, generics, magrittr, broom, dplyr, performance, tibble Francis Huang <flhuang2000@yahoo.com> Comprehensive R Archive Network (CRAN) Francis Huang [aut, cre] (ORCID: <https://orcid.org/0000-0002-5900-7763>), Bixi Zhang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=CR2/LICENSE) 2023-01-09 application/tgz https://CRAN.R-project.org/package=CR2 doi:10.32614/CRAN.package.CR2