feasible_point_search

Also called the 'initialization' step in KMS19, this method
tries to find at least one initial feasible point, which is required to run
the EAM algorithm.
ToDo: Investigate whether the feasible point search of Bei (2024) is better.
If so, implement it.

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

feasible_point_search function

<dl><dt>test.fun</dt>
<dd>Function that takes a parameter vector as a first argument
and returns the test statistic, as well as the critical value.</dd>
<dt>hyperparams</dt>
<dd>List of hyperparameters.</dd>
<dt>verbose</dt>
<dd>Verbosity parameter.</dd>
<dt>picturose</dt>
<dd>Picturosity flag. If <code>TRUE</code>, a plot illustrating the
workings of the algorithm will updated during runtime. Default is
<code>picturose = FALSE</code>.</dd>
<dt>parallel</dt>
<dd>Flag for whether or not parallel computing should be used.
Default is <code>parallel = FALSE</code>.</dd></dl>

Arguments

Method for finding initial points of the EAM algorithm — feasible_point_search

<dl>

<dt>test.fun</dt>
<dd>Function that takes a parameter vector as a first argument
and returns the test statistic, as well as the critical value.</dd>


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


<dt>verbose</dt>
<dd>Verbosity parameter.</dd>


<dt>picturose</dt>
<dd>Picturosity flag. If <code>TRUE</code>, a plot illustrating the
workings of the algorithm will updated during runtime. Default is
<code>picturose = FALSE</code>.</dd>


<dt>parallel</dt>
<dd>Flag for whether or not parallel computing should be used.
Default is <code>parallel = FALSE</code>.</dd>

</dl>

feasible_point_search: Method for finding initial points of the EAM algorithm

Description

Usage

Value

Arguments

References