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: 1.1.0
Depends: R (≥ 2.1)
Suggests: stats
Published: 2021-06-25
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

Downloads:

Reference manual: pmsampsize.pdf
Package source: pmsampsize_1.1.0.tar.gz
Windows binaries: r-devel: pmsampsize_1.1.0.zip, r-release: pmsampsize_1.1.0.zip, r-oldrel: pmsampsize_1.1.0.zip
macOS binaries: r-release (arm64): pmsampsize_1.1.0.tgz, r-release (x86_64): pmsampsize_1.1.0.tgz, r-oldrel: pmsampsize_1.1.0.tgz
Old sources: pmsampsize archive

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