Confidence Interval Evaluation

Evaluates confidence interval using zero_hit(), theta_hit(), len(), and shape().

ci_eval(ci, thetahat, theta = 0, label = NULL)

Arguments

ci	Vector. Confidence intervals sorted from smallest to largest. The length should be even. The first and the last element correspond to the widest confidence interval. The second and the second to the last element correspond to the second widest confidence interval. And so on and so forth.
thetahat	Numeric. Parameter estimate \( \left( \hat{ \theta } \right) \).
theta	Numeric. Population parameter \( \left( \theta \right) \).
label	Vector. Vector used to label results. If not provided defaults to label = 1:(length(ci)/2).

Value

Returns a vector with the following elements:

zero_hit_

Logical. Tests if confidence interval contains zero.

theta_hit_

Logical. Tests if confidence interval contains theta.

length_

Length of confidence interval.

shape_

Shape of confidence interval.

See also

Other confidence interval evaluation functions: len(), shape()

Examples

ci <- c(
  98.04786,
  98.38773,
  98.68060,
  100.5447,
  100.8375,
  101.1774
)
thetahat <- 99.6126336
theta <- 100
label <- c(
  0.001,
  0.01,
  0.05
)
ci_eval(
  ci = ci,
  thetahat = thetahat,
  theta = theta,
  label = label
)
#>  zero_hit_0.001   zero_hit_0.01   zero_hit_0.05 theta_hit_0.001  theta_hit_0.01 
#>       0.0000000       0.0000000       0.0000000       1.0000000       1.0000000 
#>  theta_hit_0.05    length_0.001     length_0.01     length_0.05     shape_0.001 
#>       1.0000000       3.1295400       2.4497700       1.8641000       0.9999954 
#>      shape_0.01      shape_0.05 
#>       0.9999696       1.0000352