SensIAT_jackknife {SensIAT} | R Documentation |
Estimate response with jackknife resampling
Description
Estimate response with jackknife resampling
Usage
SensIAT_jackknife(original.object, time, ...)
Arguments
original.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.
Examples
## Not run:
original.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.var = Subject_ID,
outcome.var = Outcome,
time.var = Time,
intensity.bandwidth = 30,
knots = c(60,60,60,60,260,460,460,460,460),
End = 830
)
jackknife.estimates <- SensIAT_jackknife(original.object, time = c(90, 180, 270, 360, 450))
## End(Not run)
[Package SensIAT version 0.1.0 Index]