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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:fbb14726a5. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 30 2025 |
| R-4.5-linux | OK | Jan 30 2025 |
Exports:pmsampsize
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| pmsampsize - Sample Size for Development of a Prediction Model | pmsampsize |