Package: pmsampsize
Version: 1.1.3
Date: 2023-12-05
Title: Sample Size for Development of a Prediction Model
Authors@R: c(person("Joie", "Ensor", role = c("aut", "cre"), email = "j.ensor@bham.ac.uk"))
Maintainer: Joie Ensor <j.ensor@bham.ac.uk>
Depends: R (>= 2.1)
Suggests: stats
Description: 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.
License: GPL (>= 3)
RoxygenNote: 7.2.3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-12-06 00:06:39 UTC; ensorj
Author: Joie Ensor [aut, cre]
Repository: CRAN
Date/Publication: 2023-12-06 09:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 21:13:38 UTC; unix
