pmsampsize: Calculates the Minimum Sample Size Required for Developing a
Multivariable Prediction Model
Computes the minimum sample size required for the development of a new multivariable prediction model using the criteria proposed by Riley et al. (2018) <doi:10.1002/sim.7992>. pmsampsize can be used to calculate the minimum sample size for the development of models with continuous, binary or survival (time-to-event) outcomes. Riley et al. (2018) <doi:10.1002/sim.7992> lay out a series of criteria the sample size should meet. These aim to minimise the overfitting and to ensure precise estimation of key parameters in the prediction model.
| Version: |
1.1.2 |
| Depends: |
R (≥ 2.1) |
| Suggests: |
stats |
| Published: |
2022-02-12 |
| Author: |
Joie Ensor [aut, cre],
Emma C. Martin [aut],
Richard D. Riley [aut] |
| Maintainer: |
Joie Ensor <j.ensor at keele.ac.uk> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
pmsampsize results |
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