longitudinal_matrix_diagnostics: Matrix diagnostics for fitted covariance components
In Surrogate: Evaluation of Surrogate Endpoints in Clinical Trials
View source: R/longitudinal_model_summary.R
longitudinal_matrix_diagnostics R Documentation
Matrix diagnostics for fitted covariance components
Description
This function returns numerical diagnostics for the fitted covariance
components of a longitudinal surrogate model.
Usage
longitudinal_matrix_diagnostics(object)
Arguments
object
An object of class surrogate_longitudinal_fit.
Value
A data.frame containing determinant, condition number, reciprocal
condition number, minimum eigenvalue, Cholesky status, and diagnostic status
for each fitted covariance matrix.
See Also
fit_longitudinal_surrogate_model for a complete example
of fitting a longitudinal surrogate model.
Surrogate documentation built on Oct. 16, 2026, 9:07 a.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/longitudinal_model_summary.R
| longitudinal_matrix_diagnostics | R Documentation |
Matrix diagnostics for fitted covariance components
Description
This function returns numerical diagnostics for the fitted covariance components of a longitudinal surrogate model.
Usage
longitudinal_matrix_diagnostics(object)
Arguments
object |
An object of class |
Value
A data.frame containing determinant, condition number, reciprocal condition number, minimum eigenvalue, Cholesky status, and diagnostic status for each fitted covariance matrix.
See Also
fit_longitudinal_surrogate_model for a complete example
of fitting a longitudinal surrogate model.
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.