SurvivalLongData: Longitudinal Mediators with Survival Outcome Dataset for HIMA...
In HIMA: High-Dimensional Mediation Analysis
SurvivalLongData R Documentation
Longitudinal Mediators with Survival Outcome Dataset for HIMA Demo
Description
A simulated dataset for demonstrating high-dimensional and longitudinal
mediation analysis with survival outcomes in a counting-process framework.
The data were generated under a longitudinal mediator model and a
piecewise-constant Weibull survival model, mimicking real-world analysis
settings.
Usage
SurvivalLongData
Format
A list with the following components:
- PhenoData
A data frame where each row represents one interval
(tstart, tstop) for a subject in counting-process format.
It contains:
- ID
Subject identifier (may appear multiple times due to interval splitting).
- Tstart
Start time of the interval.
- Tstop
Stop time of the interval (event or censoring time).
- Status
Event indicator for the interval (1 = event, 0 = no event).
- Treatment
Exposure variable for each subject.
- Sex
Binary covariate: 1 = male, 0 = female.
- Age
Age of the subject in years.
- Mediator
A numeric matrix of high-dimensional longitudinal mediators
aligned with the rows of PhenoData.
Columns correspond to mediator variables (M1, M2, …), and rows
correspond to observation intervals in the counting-process setup.
Examples
data(SurvivalLongData)
head(SurvivalLongData$PhenoData)
HIMA documentation built on Nov. 18, 2025, 1:06 a.m.
R Package Documentation
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| SurvivalLongData | R Documentation |
Longitudinal Mediators with Survival Outcome Dataset for HIMA Demo
Description
A simulated dataset for demonstrating high-dimensional and longitudinal mediation analysis with survival outcomes in a counting-process framework. The data were generated under a longitudinal mediator model and a piecewise-constant Weibull survival model, mimicking real-world analysis settings.
Usage
SurvivalLongData
Format
A list with the following components:
- PhenoData
A data frame where each row represents one interval (
tstart,tstop) for a subject in counting-process format. It contains:- ID
Subject identifier (may appear multiple times due to interval splitting).
- Tstart
Start time of the interval.
- Tstop
Stop time of the interval (event or censoring time).
- Status
Event indicator for the interval (
1 = event,0 = no event).- Treatment
Exposure variable for each subject.
- Sex
Binary covariate:
1 = male,0 = female.- Age
Age of the subject in years.
- Mediator
A numeric matrix of high-dimensional longitudinal mediators aligned with the rows of
PhenoData. Columns correspond to mediator variables (M1,M2, …), and rows correspond to observation intervals in the counting-process setup.
Examples
data(SurvivalLongData)
head(SurvivalLongData$PhenoData)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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