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: 2026-09-30 10:52:55 UTC; root
Author: Joie Ensor [aut, cre]
Repository: https://cran.r-universe.dev
Date/Publication: 2023-12-07 02:40:36 UTC
RemoteUrl: https://github.com/cran/pmsampsize
RemoteRef: HEAD
RemoteSha: fbb14726a54863a0b65c6b0ea9a47118d3de9ead