CRAN/E | GofKmt

GofKmt

Khmaladze Martingale Transformation Goodness-of-Fit Test

Installation

About

Consider a goodness-of-fit (GOF) problem of testing whether a random sample comes from one sample location-scale model where location and scale parameters are unknown. It is well known that Khmaladze martingale transformation method - which was proposed by Khmaladze (1981) doi:10.1137/1126027 - provides asymptotic distribution free test for the GOF problem. This package contains one function: KhmaladzeTrans(). In this version, KhmaladzeTrans() provides test statistic and critical value of GOF test for normal, Cauchy, and logistic distributions. This package used the main algorithm proposed by Kim (2020) doi:10.1007/s00180-020-00971-7 and tests for other distributions will be available at the later version.

Key Metrics

Version 2.2.0
R ≥ 3.5.0
Published 2020-10-20 1292 days ago
Needs compilation? yes
License GPL-2
CRAN checks GofKmt results

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Maintainer

Maintainer

Jiwoong Kim

jwboys26@gmail.com

Authors

Jiwoong Kim <jwboys26 at gmail.com>

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GofKmt archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.3
ggplot2
stats
utils
Rsolnp

LinkingTo

Rcpp
RcppArmadillo