insert.row

Used in initalization step (feasible_point_search.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

insert.row function

<dl><dt>evaluations</dt>
<dd>Matrix of violation function evaluations.</dd>
<dt>row</dt>
<dd>Row (evaluations) to be added to the evaluation matrix.</dd>
<dt>idx.after</dt>
<dd>Index of the row of <code>evaluations</code> after which the given
row should be placed.</dd></dl>

Arguments

Insert row into a matrix at a given row index — insert.row

<dl>

<dt>evaluations</dt>
<dd>Matrix of violation function evaluations.</dd>


<dt>row</dt>
<dd>Row (evaluations) to be added to the evaluation matrix.</dd>


<dt>idx.after</dt>
<dd>Index of the row of <code>evaluations</code> after which the given
row should be placed.</dd>

</dl>

insert.row: Insert row into a matrix at a given row index

Description

Usage

Value

Arguments