Computes the Anderson-Darling (AD) and Cramer-von Mises (CvM) statistics and
their p-values for a fitted distribution, based on the probability integral
transform.
Usage
ad_cvm_test(x, dist, theta)
Arguments
- x
Numeric vector of positive observations.
- dist
Character; distribution name.
- theta
Numeric length-2 parameter vector (typically MLE).
Value
A list with AD, AD_p, CvM, CvM_p.
Examples
set.seed(1); x <- rdist(100, "Weibull", c(2, 1))
ad_cvm_test(x, "Weibull", c(2, 1))
#> $AD
#> [1] 0.8548376
#>
#> $AD_p
#> [1] 0.4431183
#>
#> $CvM
#> [1] 0.1224319
#>
#> $CvM_p
#> [1] 0.4856639
#>
