Calculates asymptotic confidence intervals.
ci_asymptotic(est, sd, n, transformer, quants)ci_boot(
x,
est,
sd,
type,
transformer,
parallel,
quants,
n_reps,
standardized = FALSE
)
The estimate and estimated standard deviation.
Number of observations.
A transformer object.
Quantiles for the confidence interval.
Data to estimate alpha on.
Type of confidence interval. Either adf, elliptical, or
normal.
If TRUE, makes calculations under the assumption of a
parallel model. Default to FALSE.
Number of bootstrap samples if bootstrap = TRUE. Ignored if
bootstrap = FALSE.
If TRUE, calculates the standardized alpha. Calculates
coefficient alpha otherwise.