get.starting.values

Obtain starting values used in the M-step (M_step.R).

Several statistical methods for analyzing survival data under various forms of dependent
censoring are implemented in the package. In addition to accounting for dependent censoring, it
offers tools to adjust for unmeasured confounding factors. The implemented approaches allow
users to estimate the dependency between survival time and dependent censoring time, based
solely on observed survival data. For more details on the methods, refer to Deresa and Van
Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023)
<doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>,
Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Rutten et al. (2024+)
<doi:10.48550/arXiv.2403.11860> and Ding and Van Keilegom (2024).

Negera Wakgari Deresa

depCensoring

Statistical Methods for Survival Data with Dependent Censoring

Ilias Willems

Gilles Crommen

Jie Ding

Claudia Czado

Ingrid Van Keilegom

get.starting.values function

<dl><dt>theta.hash</dt>
<dd>Tentative optimal value for theta, i.e., the largest or
smallest feasible value for theta (if dir = 1 or dir = -1, respectively). A
'feasible value' is one that satisfies all moment restrictions.</dd>
<dt>dir</dt>
<dd>Search direction. <code>dir = 1</code> corresponds to looking for an
upper bound. <code>dir = -1</code> corresponds to looking for a lower bound.</dd>
<dt>EI.Mstep</dt>
<dd>Function to compute expected improvements.</dd>
<dt>hyperparams</dt>
<dd>List of hyperparameters.</dd></dl>

Arguments

Main function for obtaining the starting values of the expected
improvement maximization step. — get.starting.values

<dl>

<dt>theta.hash</dt>
<dd>Tentative optimal value for theta, i.e., the largest or
smallest feasible value for theta (if dir = 1 or dir = -1, respectively). A
'feasible value' is one that satisfies all moment restrictions.</dd>


<dt>dir</dt>
<dd>Search direction. <code>dir = 1</code> corresponds to looking for an
upper bound. <code>dir = -1</code> corresponds to looking for a lower bound.</dd>


<dt>EI.Mstep</dt>
<dd>Function to compute expected improvements.</dd>


<dt>hyperparams</dt>
<dd>List of hyperparameters.</dd>

</dl>

get.starting.values: Main function for obtaining the starting values of the expected improvement maximization step.

Description

Usage

Value

Arguments