VarCorr.pmrm_fit: Estimated covariance matrix

In pmrm: Progression Models for Repeated Measures

Estimated covariance matrix

Description

Extract estimated covariance matrix among visits within patients.

Usage

## S3 method for class 'pmrm_fit'
VarCorr(x, sigma = NA, ...)

Arguments

x	A fitted model object of class "pmrm_fit".
sigma	Not used for pmrm.
...	Not used.

Value

A matrix J rows and J columns, where J is the number of scheduled visits in the clinical trial.

See Also

Other estimates: coef.pmrm_fit(), pmrm_marginals(), tidy.pmrm_fit(), vcov.pmrm_fit()

Examples

  set.seed(0L)
  simulation <- pmrm_simulate_decline_proportional(
    visit_times = seq_len(5L) - 1,
    gamma = c(1, 2)
  )
  fit <- pmrm_model_decline_proportional(
    data = simulation,
    outcome = "y",
    time = "t",
    patient = "patient",
    visit = "visit",
    arm = "arm",
    covariates = ~ w_1 + w_2
  )
  VarCorr(fit)

pmrm documentation built on March 12, 2026, 5:07 p.m.