ci: Calculates asymptotic confidence intervals.
In alphaci: Confidence Intervals for Coefficient Alpha and Standardized Alpha

ci	R Documentation

Calculates asymptotic confidence intervals.

Description

Calculates asymptotic confidence intervals.

Usage

ci_asymptotic(est, sd, n, transformer, quants)

ci_boot(
  x,
  est,
  sd,
  type,
  transformer,
  parallel,
  quants,
  n_reps,
  standardized = FALSE
)

Arguments

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