draw_cluster_bootstrap: Draw a cluster bootstrap sample from a data frame in long...
In pencal: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
View source: R/draw_cluster_bootstrap.R
draw_cluster_bootstrap R Documentation
Draw a cluster bootstrap sample from a data frame in long format
Description
This function is part of the cluster bootstrap optimism correction
procedure described in Signorelli et al. (2021). Note
that the function does not perform the random sampling, but it
extracts the correct records from a dataframe, given the ids of
the sampled clusters (subjects)
Usage
draw_cluster_bootstrap(df, idvar, boot.ids)
Arguments
df
a data frame in long format
idvar
name of the subject id in df (it should be a
numeric id that ranges from 1 to n, without skipping values)
boot.ids
identifiers of the subjects to be sampled
Value
A data frame containing the bootstrapped observations
Author(s)
Mirko Signorelli
References
Signorelli, M. (2024). pencal: an R Package for the Dynamic
Prediction of Survival with Many Longitudinal Predictors.
To appear in: The R Journal. Preprint: arXiv:2309.15600
Signorelli, M., Spitali, P., Al-Khalili Szigyarto, C,
The MARK-MD Consortium, Tsonaka, R. (2021).
Penalized regression calibration: a method for the prediction
of survival outcomes using complex longitudinal and
high-dimensional data. Statistics in Medicine, 40 (27), 6178-6196.
DOI: 10.1002/sim.9178
pencal documentation built on April 3, 2025, 10:32 p.m.
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.
View source: R/draw_cluster_bootstrap.R
| draw_cluster_bootstrap | R Documentation |
Draw a cluster bootstrap sample from a data frame in long format
Description
This function is part of the cluster bootstrap optimism correction procedure described in Signorelli et al. (2021). Note that the function does not perform the random sampling, but it extracts the correct records from a dataframe, given the ids of the sampled clusters (subjects)
Usage
draw_cluster_bootstrap(df, idvar, boot.ids)
Arguments
df |
a data frame in long format |
idvar |
name of the subject id in |
boot.ids |
identifiers of the subjects to be sampled |
Value
A data frame containing the bootstrapped observations
Author(s)
Mirko Signorelli
References
Signorelli, M. (2024). pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors. To appear in: The R Journal. Preprint: arXiv:2309.15600
Signorelli, M., Spitali, P., Al-Khalili Szigyarto, C, The MARK-MD Consortium, Tsonaka, R. (2021). Penalized regression calibration: a method for the prediction of survival outcomes using complex longitudinal and high-dimensional data. Statistics in Medicine, 40 (27), 6178-6196. DOI: 10.1002/sim.9178
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.