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biostats: Biostatistics and Clinical Data Analysis
Biostatistical and clinical data analysis, including descriptive
statistics, exploratory data analysis, sample size and power calculations,
statistical inference, and data visualization. Normality tests are
implemented following Mishra et al. (2019) <doi:10.4103/aca.ACA_157_18>,
omnibus test procedures are based on Blanca et al. (2017)
<doi:10.3758/s13428-017-0918-2> and Field et al. (2012, ISBN:9781446200469),
while sample size and power calculation methods follow Chow et al. (2017)
<doi:10.1201/9781315183084>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
ggplot2, gridExtra, rlang, car, gt |
| Suggests: |
testthat (≥ 3.0.0), covr |
| Published: |
2025-11-13 |
| DOI: |
10.32614/CRAN.package.biostats |
| Author: |
Sebastian Quirarte-Justo
 [aut, cre],
Angela Carolina Montano-Ruiz
[aut],
Jose Maria Torres-Arellano
[aut],
Laboratorios Sophia S.A. de C.V. [cph, fnd] |
| Maintainer: |
Sebastian Quirarte-Justo <sebastian.quirarte at sophia.com.mx> |
| BugReports: |
https://github.com/sebasquirarte/biostats/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/sebasquirarte/biostats |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
biostats results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=biostats
to link to this page.
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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