E_step {depCensoring} | R Documentation |
E-step in the EAM algorithm as described in KMS19.
Description
This function performs the estimation step in the EAM algorithm.
Usage
E_step(thetas, test.fun, dir, evaluations, verbose)
Arguments
thetas |
Points at which to perform the E-step. Usually the result of the M-step. |
test.fun |
Function returning the test statistic, as well as the critical value. |
dir |
Direction in which to optimize. For finding upper bounds, set
|
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 E-step.
[Package depCensoring version 0.1.7 Index]