MSpoint

Create starting values for EI maximization. Used in the M-step
(get.starting.values.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

MSpoint function

<dl><dt>draws.init</dt>
<dd>Initial draws.</dd></dl>

Arguments

Analogue to KMS_AUX4_MSpoints(...) in MATLAB code of Bei (2024). — MSpoint

<dl>

<dt>draws.init</dt>
<dd>Initial draws.</dd>

</dl>

MSpoint: Analogue to KMS_AUX4_MSpoints(...) in MATLAB code of Bei (2024).

Description

Usage

Arguments

References