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

Package details

AuthorJoie Ensor [aut, cre], Emma C. Martin [aut], Richard D. Riley [aut]
MaintainerJoie Ensor <[email protected]>
LicenseGPL (>= 3)
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pmsampsize")

Try the pmsampsize package in your browser

Any scripts or data that you put into this service are public.

pmsampsize documentation built on Jan. 8, 2019, 5:05 p.m.