confCI {MLEce}

Getting confidence intervals for efficient closed-form estimators

Description

Getting confidence intervals for efficient closed-form estimators

Usage

confCI(object, bootsize = 1000, level = 0.95)

Arguments

object

an object of class "MLEce" made by the function MLEce.

bootsize

a numeric value for the steps in the bootstrap method; default value is 1,000.

level

a numeric value between 0 and 1 for controlling the significance level of confidence interval; default value is 0.95.

Details

The confidence interval is obtained by bootstrap method for the estimated parameters in the assigned distribution.

Value

a numeric a list is given, containing assigned distribution, confidence intervals and alpha which is equal to one minus the significance level.

Examples

data(flood)
est_BiGam <- MLEce(flood, "BiGam")
confCI(est_BiGam)
datt = rBiWei(n=50, c(4,3,3,4,0.6))
est_BiWei <-MLEce(datt, "BiWei")
confCI(est_BiWei)
data_Diri <- LaplacesDemon::rdirichlet(n=60, c(3,1,2,4))
est_Diri <- MLEce(data_Diri, "Dirichlet")
confCI(est_Diri)