cauchy.test: Function for testing if a sample is cauchy distributed.

In LBPy/tfc: Tests for Cauchy-distribution

Description

cauchy.test returns if a sample is cauchy distributed with a given significance level.

Usage

cauchy.test(Test, Sample, parameter = NULL, method_estimation = 2,
  alpha = 0.05, repetitions = 10000, data_print = TRUE)

Arguments

Test	A string with the name of the test.
Sample	A numeric vector with data.
parameter	A positive numeric value if the test requires a parameter (see below).
method_estimation	A parameter specifying the method for estimating the Cauchy-distribution parameters.
alpha	A numeric value between 0 and 1 specifying the significance level.
repetitions	A positiv integer Possible tests are D_Henze, KL, W, AD, CM, KS, T1, T2, T3, T4. The tests D_Henze, T1, T2, T3, T4 require a positive parameter, which influences the weight-function.

LBPy/tfc documentation built on Jan. 29, 2020, 10:17 p.m.