get.test.statistic: Obtain the test statistic by minimizing the S-function over...

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Obtain the test statistic by minimizing the S-function over the feasible region \beta(r).

Description

Obtain the test statistic by minimizing the S-function over the feasible region \beta(r).

Usage

get.test.statistic(
  beta.init,
  data,
  par.space,
  t,
  hp,
  c,
  r,
  inst.func.evals = NULL
)

Arguments

beta.init	Starting value of minimization algorithm.
data	Data frame.
par.space	Matrix containing the bounds on the parameter space.
t	Time point at which to evaluate beta. Also allowed to be a vector of time points (used in estimating the model under assumed time- independent coefficients).
hp	List of hyperparameters.
c	Projection vector
r	hypothesised value of the projection.
inst.func.evals	Matrix of precomputed instrumental function evaluations for each observation in the data set. If NULL, the evaluations will be computed during execution of this function. Default is inst.func.evals = NULL.

Value

A list containing the value of the test statistic and the parameter at which this value was attained.

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