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OptHoldoutSize
View on CRAN: Click
here
Download and install OptHoldoutSize package within the R console
Install from CRAN:
install.packages("OptHoldoutSize")
Install from Github:
library("remotes")
install_github("cran/OptHoldoutSize") Install by package version:
library("remotes")
install_version("OptHoldoutSize", "0.1.0.2") Attach the package and use:
library("OptHoldoutSize")
Maintained by
James Liley
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-09
Latest Update: 2025-04-09
Description:
Predictive scores must be updated with care, because actions taken on the basis of existing risk scores causes bias in risk estimates from the updated score. A holdout set is a straightforward way to manage this problem: a proportion of the population is 'held-out' from computation of the previous risk score. This package provides tools to estimate a size for this holdout set and associated errors. Comprehensive vignettes are included. Please see: Haidar-Wehbe S, Emerson SR, Aslett LJM, Liley J (2022) for details of methods.
How to cite:
James Liley (2022). OptHoldoutSize: Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score. R package version 0.1.0.2, https://cran.r-project.org/web/packages/OptHoldoutSize. Accessed 02 Nov. 2026.
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Complete documentation for OptHoldoutSize
Functions, R codes and Examples using
the OptHoldoutSize R package
Some associated functions: add_aspre_interactions . aspre . aspre_emulation . aspre_k2 . aspre_parametric . ci_cover_a_yn . ci_cover_cost_a_yn . ci_cover_cost_e_yn . ci_cover_e_yn . ci_mincost . ci_ohs . cov_fn . data_example_simulation . data_nextpoint_em . data_nextpoint_par . error_ohs_emulation . exp_imp_fn . gen_base_coefs . gen_preds . gen_resp . grad_mincost_powerlaw . grad_nstar_powerlaw . logistic . logit . model_predict . model_train . mu_fn . next_n . ohs_array . ohs_resample . optimal_holdout_size . optimal_holdout_size_emulation . oracle_pred . params_aspre . plot.optholdoutsize . plot.optholdoutsize_emul . powerlaw . powersolve . powersolve_general . powersolve_se . psi_fn . sens10 . sim_random_aspre . split_data .
Some associated R codes: OptHoldoutSize_aspre.R . OptHoldoutSize_emulation.R . OptHoldoutSize_estimation.R . OptHoldoutSize_init.R . OptHoldoutSize_simulation.R . Full OptHoldoutSize package functions and examples
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