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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.
Getting started
Browse package contents
Package details |
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| Author | Joie Ensor [aut, cre], Emma C. Martin [aut], Richard D. Riley [aut] |
| Maintainer | Joie Ensor <j.ensor@keele.ac.uk> |
| License | GPL (>= 3) |
| Version | 1.1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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