Fitted values — fitted.pmrm_fit • pmrm

Compute the fitted values of a fitted progression model for repeated measures.

Usage

# S3 method for class 'pmrm_fit'
fitted(object, adjust = TRUE, ...)

Arguments

object: A fitted model object of class "pmrm_fit".
adjust: TRUE or FALSE. adjust = TRUE returns estimates and inference for covariate-adjusted mu_ij values (defined in vignette("models", package = "pmrm")) for new data. adjust = FALSE instead returns inference on mu_ij - W %*% gamma, the non-covariate-adjusted predictions useful in plotting a continuous disease progression trajectory in plot.pmrm_fit().
...: Not used.

Value

A numeric vector of fitted values corresponding to the rows of the data in object$data.

Details

For pmrm, fitted() is much faster than predict() for large datasets, but the output only includes the estimates (no measures of uncertainty).

See also

Other predictions: predict.pmrm_fit(), residuals.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
  )
  str(fitted(fit))
#>  num [1:1500] -1.026 1.574 -2.106 0.727 -0.773 ...