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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

3.39 score 4 stars 1 packages 29 scripts 948 downloads 7 mentions 1 exports 0 dependencies

Last updated 1 years agofrom:fbb14726a5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linuxOKDec 01 2024

Exports:pmsampsize

Dependencies: