predict.SensIAT_within_group_model function

Predict mean and variance of the outcome for a SensIAT within-group model

## S3 method for class 'SensIAT_fulldata_model'
predict(object, time, ...)

## S3 method for class 'SensIAT_within_group_model'
predict(object, time, include.var = TRUE, ..., base = object$base)

Arguments

• object: SensIAT_within_group_model object
• time: Time points of interest
• ...: Currently ignored.
• include.var: Logical. If TRUE, the variance of the outcome is also returned
• base: A SplineBasis object used to evaluate the basis functions.

Returns

If include.var is TRUE, a tibble with columns time, mean, and var is returned. otherwise if include.var is FALSE, only the mean vector is returned.

Functions

• predict(SensIAT_fulldata_model): For each combination of time and alpha estimate the mean response and variance for each group as well as estimate the mean treatment effect and variance.

Examples

model <-
    fit_SensIAT_within_group_model(
        group.data = SensIAT_example_data,
        outcome_modeler = SensIAT_sim_outcome_modeler,
        alpha = c(-0.6, -0.3, 0, 0.3, 0.6),
        id.var = Subject_ID,
        outcome.var = Outcome,
        time.var = Time,
        End = 830,
        knots = c(60,60,60,60,260,460,460,460,460),
    )
predict(model, time = c(90, 180))