About Anaconda Help Download Anaconda

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  8 months and 28 days ago 694 main
conda 63.2 kB | noarch/r-pmsampsize-1.1.3-r44hc72bb7e_1.conda  8 months and 28 days ago 641 main
conda 62.6 kB | noarch/r-pmsampsize-1.1.3-r42hc72bb7e_0.conda  1 year and 3 months ago 919 main
conda 62.9 kB | noarch/r-pmsampsize-1.1.3-r43hc72bb7e_0.conda  1 year and 3 months ago 924 main
conda 60.6 kB | noarch/r-pmsampsize-1.1.2-r43hc72bb7e_1.conda  1 year and 9 months ago 1128 main
conda 61.4 kB | noarch/r-pmsampsize-1.1.2-r42hc72bb7e_1.conda  1 year and 9 months ago 1089 main
conda 60.8 kB | noarch/r-pmsampsize-1.1.2-r41hc72bb7e_0.conda  1 year and 10 months ago 1193 main
conda 60.9 kB | noarch/r-pmsampsize-1.1.2-r42hc72bb7e_0.conda  1 year and 10 months ago 1147 main

© 2025 Anaconda, Inc. All Rights Reserved. (v4.0.9) Legal | Privacy Policy