Package: pmsampsize 1.1.3

Joie Ensor

pmsampsize: Sample Size for Development of a 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.

Authors:Joie Ensor [aut, cre]

pmsampsize_1.1.3.tar.gz
pmsampsize_1.1.3.tar.gz(r-4.5-noble)pmsampsize_1.1.3.tar.gz(r-4.4-noble)
pmsampsize_1.1.3.tgz(r-4.4-emscripten)pmsampsize_1.1.3.tgz(r-4.3-emscripten)
pmsampsize.pdf |pmsampsize.html✨
pmsampsize/json (API)
NEWS

# Install 'pmsampsize' in R:
install.packages('pmsampsize', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:r-pmsampsize-1.1.3(2025-03-25)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.93 score 4 stars 1 packages 1.0k downloads 7 mentions 1 exports 0 dependencies

Last updated 1 years agofrom:fbb14726a5. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-linuxOKMar 31 2025

Exports:pmsampsize

Dependencies:

Citation

To cite package ‘pmsampsize’ in publications use:

Ensor J (2023). pmsampsize: Sample Size for Development of a Prediction Model. R package version 1.1.3, https://CRAN.R-project.org/package=pmsampsize.

Corresponding BibTeX entry: 

  @Manual{,
    title = {pmsampsize: Sample Size for Development of a Prediction
      Model},
    author = {Joie Ensor},
    year = {2023},
    note = {R package version 1.1.3},
    url = {https://CRAN.R-project.org/package=pmsampsize},
  }