Bayesian Sample Size and Precision Considerations for Risk Prediction Models

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Documentation for package ‘bayespmtools’ version 0.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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bpm_valprec	Bayesian Precision / VoI Calculator
bpm_valsamp	Bayesian Sample Size Calculator for External Validation
calc_ciw_2s	Calculates Pre-Posterior Distribution of 95% CI Widths Using Two-step Method
calc_ciw_mc	#'Calculates Pre-Posterior Distribution of 95% CI Widths Based on Given Method
calc_ciw_sample	Calculates Pre-Posterior Distribution of 95% CI Widths Using Sampling-based Simulation
calc_cstat	Calculates the C-statistic of Model
calc_riley_vars	Calculates Approximate Variances and Covariance for Performance Metrics
calc_se_sp	Calculates the Sensitivity and Specificity
find_n_mean	Calculates Sample Size Given Target Mean CI
find_n_quantile	Calculates Sample Size Given Target Quantile
infer_cal_int_from_mean	Infer Calibration Intercept from Mean Calibration
infer_cal_int_from_oe	Infer Calibration Intercept from O/E ratio
infer_correlation	Calculates Correlation
inv_mean_quantile	Calculates the Model Parameters Given Quantile
inv_moments	Calculates the Model Parameters Given Moments
isaric	Isaric Dataset
moments	Mean and Variance Calculator
plot_cal_distance	Plots Calibration Distance from Simulation Curves
plot_cal_instability	Plots Calibration Instability from Simulated Calibration Curves
process_evidence	Transforms Evidence Into Standardized Format
rbnorm	Generates Samples From Normal Distribution
riley_samp	Calculates Sample Size that Achieves Target CI Widths