Conducts sensitivity analyses for unmeasured confounding,selection bias, and measurement error (individually or in combination) in individual studies. Also conducts sensitivity analyses for unmeasured confounding in meta-analyses.
| Version: | 4.1.1 |
| Imports: | stats, graphics, ggplot2 (≥ 2.2.1), metafor, methods, boot, MetaUtility, dplyr |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2021-01-04 |
| Author: | Maya B. Mathur [cre, aut], Louisa H. Smith [aut], Peng Ding [aut], Tyler J. VanderWeele [aut] |
| Maintainer: | Maya B. Mathur <mmathur at stanford.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | EValue citation info |
| Materials: | README |
| In views: | MetaAnalysis |
| CRAN checks: | EValue results |
| Reference manual: | EValue.pdf |
| Vignettes: |
E-values for meta-analyses Examples of multiple-bias sensitivity analysis E-values for multiple biases E-values for selection bias E-values for unmeasured confounding |
| Package source: | EValue_4.1.1.tar.gz |
| Windows binaries: | r-devel: EValue_4.1.1.zip, r-release: EValue_4.1.1.zip, r-oldrel: EValue_4.1.1.zip |
| macOS binaries: | r-release: EValue_4.1.1.tgz, r-oldrel: EValue_4.1.1.tgz |
| Old sources: | EValue archive |
Please use the canonical form https://CRAN.R-project.org/package=EValue to link to this page.