ks.test.compare: Formally Compare Observed and Simulated Statistics

In distfreereg: Distribution-Free Goodness-of-Fit Testing for Regression

Formally Compare Observed and Simulated Statistics

Description

This is a ks.test method for objects of class compare. It performs a two-sample Kolmogorov–Smirnov test to compare the observed and simulated statistics in an object of class compare.

Usage

	## S3 method for class 'compare'
ks.test(x, ..., stat = NULL)

Arguments

x	Object of class compare.
...	Additional parameters passed to ks.test.
stat	Character string specifying the statistic on which to run the test.

Details

When stat is NULL, the default value is the first statistic appearing in the observed_stats element of object.

Value

A list of the form specified in ks.test.

Author(s)

Jesse Miller

See Also

compare, distfreereg, ks.test

Examples

# In practice, set "reps" larger than 200.
set.seed(20240201)
n <- 100
func <- function(X, theta) theta[1] + theta[2]*X
Sig <- rWishart(1, df = n, Sigma = diag(n))[,,1]
theta <- c(2,5)
X <- matrix(rexp(n, rate = 1))
cdfr <- compare(true_mean = func, true_X = X, true_covariance = list(Sigma = Sig),
                test_mean = func, X = X, covariance = list(Sigma = Sig), reps = 200,
                prog = Inf, theta = theta, theta_init = rep(1, length(theta)))

ks.test(cdfr)
ks.test(cdfr, stat = "CvM")

distfreereg documentation built on April 4, 2025, 12:30 a.m.