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.