Estimate response with jackknife resampling

Usage

SensIAT_jackknife(object, time, ...)

SensIAT_jackknife_fulldata(object, time, ...)

Arguments

object: A SensIAT_within_group_model object.
time: Time points for which to estimate the response.
...: currently ignored.

Value

A tibble with columns alpha, time, jackknife_mean, and jackknife_var, where jackknife_mean is the mean of the jackknife estimates and jackknife_var is the estimated variances of the response at the given time points for the specified alpha values.

Functions

SensIAT_jackknife_fulldata(): Estimate variance of the treatment effect with jackknife resampling for full data models.

Examples

if (FALSE) { # \dontrun{
object <-
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 = Subject_ID,
    outcome = Outcome,
    time = Time,
    intensity.args=list(bandwidth = 30),
    knots = c(60,260,460),
    End = 830
)
jackknife.estimates <- SensIAT_jackknife(object, time = c(90, 180, 270, 360, 450))
} # }