dm.bar

This function computes the matrix containing the sample average
of the partial derivatives of the moment functions.

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

dm.bar function

<dl><dt>data</dt>
<dd>Data frame.</dd>
<dt>beta</dt>
<dd>Vector of coefficients.</dd>
<dt>t</dt>
<dd>Time point at which to compute the derivative of the moment
functions. Also allowed to
be a vector of time points (used in estimating the model under assumed time-
independent coefficients).</dd>
<dt>hp</dt>
<dd>List of hyperparameters.</dd>
<dt>dmi.tens</dt>
<dd>Tensor of derivative moment function evaluations. Can be used
to avoid some computation. Default is <code>dmi.tens = NULL</code>.</dd></dl>

Arguments

Vector of sample average of each moment function
\((\bar{m}_n(\theta))\). — dm.bar

<dl>

<dt>data</dt>
<dd>Data frame.</dd>


<dt>beta</dt>
<dd>Vector of coefficients.</dd>


<dt>t</dt>
<dd>Time point at which to compute the derivative of the moment
functions. Also allowed to
be a vector of time points (used in estimating the model under assumed time-
independent coefficients).</dd>


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


<dt>dmi.tens</dt>
<dd>Tensor of derivative moment function evaluations. Can be used
to avoid some computation. Default is <code>dmi.tens = NULL</code>.</dd>

</dl>

dm.bar: Vector of sample average of each moment function \((\bar{m}_n(\theta))\).

Description

Usage

Value

Arguments