jackknife: Perform Jackknife Resampling on an Object

In SensIAT: Sensitivity Analysis for Irregular Assessment Times

Perform Jackknife Resampling on an Object

Description

Perform Jackknife Resampling on an Object

Usage

jackknife(object, ...)

## S3 method for class 'SensIAT_within_group_model'
jackknife(object, time, ...)

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

Arguments

object	An object to cross validate on.
...	Additional arguments passed to the method.
time	Time points for which to estimate the response.

Value

A data frame of the jackknife resampling results. For SensIAT objects, 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.

Methods (by class)

• jackknife(SensIAT_within_group_model): Perform jackknife resampling on a SensIAT_within_group_model object.

• jackknife(SensIAT_fulldata_model): Perform jackknife resampling on a SensIAT_fulldata_model object.

Examples

## Not run: 
object <-
fit_SensIAT_within_group_model(
    group.data = SensIAT_example_data,
    outcome_modeler = fit_SensIAT_single_index_fixed_coef_model,
    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))

## End(Not run)

SensIAT documentation built on Sept. 9, 2025, 5:50 p.m.