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CR2: Compute Cluster Robust Standard Errors with Degrees of Freedom
Adjustments
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).
| Version: |
0.2.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
stats, lme4, nlme, Matrix, methods, generics, magrittr, broom, dplyr, performance, tibble |
| Published: |
2023-01-09 |
| Author: |
Francis Huang 
[aut, cre],
Bixi Zhang [aut] |
| Maintainer: |
Francis Huang <flhuang2000 at yahoo.com> |
| BugReports: |
https://github.com/flh3/CR2/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/flh3/CR2 |
| NeedsCompilation: |
no |
| Citation: |
CR2 citation info |
| Materials: |
README NEWS |
| CRAN checks: |
CR2 results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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