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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.

Versions across snapshots

VersionRepositoryFileSize
1.1.3 rolling linux/jammy R-4.5 pmsampsize_1.1.3.tar.gz 44.4 KiB
1.1.3 rolling linux/noble R-4.5 pmsampsize_1.1.3.tar.gz 44.4 KiB
1.1.3 rolling source/ R- pmsampsize_1.1.3.tar.gz 14.7 KiB
1.1.3 latest linux/jammy R-4.5 pmsampsize_1.1.3.tar.gz 44.4 KiB
1.1.3 latest linux/noble R-4.5 pmsampsize_1.1.3.tar.gz 44.4 KiB
1.1.3 latest source/ R- pmsampsize_1.1.3.tar.gz 14.7 KiB
1.1.3 2026-04-26 source/ R- pmsampsize_1.1.3.tar.gz 14.7 KiB
1.1.3 2026-04-23 source/ R- pmsampsize_1.1.3.tar.gz 14.7 KiB
1.1.3 2026-04-09 windows/windows R-4.5 pmsampsize_1.1.3.zip 47.0 KiB
1.1.3 2025-04-20 source/ R- pmsampsize_1.1.3.tar.gz 14.7 KiB

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