SimSAUC: SimSAUC

In yi522/SimSAUC: Reproduce simulation results of SAUC

Description

This is a function to automatically run simulations given a simulated data. This function will split data into training set and testing set for a given times. It then computed SAUC estimator and MLE in training set. And using the estimated model, function computed error rate in the testing set.

Usage

SimSAUC(y, x, sim_size, parallel = F, n_core = 1, ratio = 2/3, seed = 2021)

Arguments

y	binary outcome of a logistic model
x	a dataframe containing markers
sim_size	simulation size
parallel	TRUE if parallel computation is applied
n_core	the numbe of cores used in parallel computation
ratio	threshold for decsion rule
seed	random seed for reproducibility

Value

'beta_SAUC mean' is the SAUC estimates from simulations. 'beta_Logistic' is the mean MLE from simulations. 'sd_of_beta_SAUC' is the standard error of SAUC estimates. 'sd_of_beta_Logistic' is the standard error of SAUC estimates. 'error_SAUC' is mean error of SAUC and 'error_Logistic' is mean error of MLE. 'sd_of_error_SAUC' and 'sd_of_error_Logistic' are standard errors of mean errors of SAUC and MLE.

yi522/SimSAUC documentation built on Dec. 23, 2021, 7:20 p.m.