A_step: A-step in the EAM algorithm described in KMS19

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

A-step in the EAM algorithm described in KMS19

Description

This function performs the approximation step in the EAM algorithm. More specifically, it fits a Gaussian-process regression model (Kriging) to the evaluated data points (\theta, c(\theta)).

Usage

A_step(evaluations, verbose = 0)

Arguments

evaluations	Matrix containing each point that was already evaluated, alongside the corresponding test statistic and critical value, as its rows.
verbose	Verbosity parameter.

Value

Results of the A-step.

See Also

Package rkriging.

depCensoring documentation built on April 4, 2025, 1:52 a.m.