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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.

copied from cf-staging / r-pmsampsize
Type Size Name Uploaded Downloads Labels
conda 62.2 kB | noarch/r-pmsampsize-1.1.3-r43hc72bb7e_1.conda  4 months and 27 days ago 420 main
conda 63.2 kB | noarch/r-pmsampsize-1.1.3-r44hc72bb7e_1.conda  4 months and 27 days ago 380 main
conda 62.6 kB | noarch/r-pmsampsize-1.1.3-r42hc72bb7e_0.conda  11 months and 28 days ago 661 main
conda 62.9 kB | noarch/r-pmsampsize-1.1.3-r43hc72bb7e_0.conda  11 months and 28 days ago 670 main
conda 60.6 kB | noarch/r-pmsampsize-1.1.2-r43hc72bb7e_1.conda  1 year and 5 months ago 867 main
conda 61.4 kB | noarch/r-pmsampsize-1.1.2-r42hc72bb7e_1.conda  1 year and 5 months ago 836 main
conda 60.8 kB | noarch/r-pmsampsize-1.1.2-r41hc72bb7e_0.conda  1 year and 6 months ago 929 main
conda 60.9 kB | noarch/r-pmsampsize-1.1.2-r42hc72bb7e_0.conda  1 year and 6 months ago 890 main

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