vcov.wglm: Variance-covariance for IPCW Logistic Regressions

In tagteam/riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

Variance-covariance for IPCW Logistic Regressions

Description

Compute the variance-covariance matrix of the estimated model parameters of IPCW logistic regressions.

Usage

## S3 method for class 'wglm'
vcov(object, times = NULL, type = "robust", simplify = TRUE, ...)

Arguments

object	a wglm object.
times	[numeric vector] time points at which the variance-covariance matrix should be output.
type	[character] should the robust variance-covariance matrix be computing accounting for the uncertainty of the IPCW ("robust") or ignoring the uncertainty of the IPCW ("robust-wknown"), or model-based ignoring the uncertainty of the IPCW ("model-wknown")?
simplify	[logical] should the ouput be converted to a matrix when only one timepoint is requested. Otherwise will always return a list.
...	Not used.

tagteam/riskRegression documentation built on April 13, 2025, 9:28 a.m.