miceadds (version 3.2-48)

in_CI: Indicator Function for Analyzing Coverage

Description

Indicator function for analyzing coverage. The output indicates whether a value lies within a computed confidence interval.

Usage

in_CI(est, se, true, level=0.95, df=Inf)

Arguments

est

Vector of estimates

se

Vector of standard errors

true

Vector of true parameters

level

Confidence level

df

Degrees of freedom for \(t\) distribution. The default corresponds to the normal distribution.

Value

Logical vector

Examples

# NOT RUN {
#############################################################################
# EXAMPLE 1: Toy example
#############################################################################

#-- simulate estimates and standard errors
set.seed(987)
n <- 10
est <- stats::rnorm( n, sd=1)
se <- stats::runif( n, 0, .7 )
level <- .95
true <- 0

#-- apply coverage function
in_ci <- miceadds::in_CI( est, se, true)
#-- check correctness
cbind( est, se, true, in_ci )
# }