Package: sampsizeval 1.0.0.0
sampsizeval: Sample Size for Validation of Risk Models with Binary Outcomes
Estimation of the required sample size to validate a risk model for binary outcomes, based on the sample size equations proposed by Pavlou et al. (2021) <doi:10.1177/09622802211007522>. For precision-based sample size calculations, the user is required to enter the anticipated values of the C-statistic and outcome prevalence, which can be obtained from a previous study. The user also needs to specify the required precision (standard error) for the C-statistic, the calibration slope and the calibration in the large. The calculations are valid under the assumption of marginal normality for the distribution of the linear predictor.
Authors:
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sampsizeval.pdf |sampsizeval.html✨
sampsizeval/json (API)
| # Install 'sampsizeval' in R: |
| install.packages('sampsizeval', repos = c('https://mpavlou.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mpavlou/sampsizeval/issues
Last updated 5 months agofrom:158e5edbef. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:sampsizeval
Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrMASSMatrixMatrixModelsmnormtnumDerivpillarpkgconfigplyrpracmaquantregR6RcpprlangsnSparseMsurvivaltibbletidyselectutf8vctrswithr
