in_CI.RdIndicator function for analyzing coverage. The output indicates whether a value lies within a computed confidence interval.
in_CI(est, se, true, level=0.95, df=Inf)
| 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. |
Logical vector
############################################################################# # 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 )