GofKmt
Khmaladze Martingale Transformation Goodness-of-Fit Test
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.
- Version2.2.0
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?Yes
- Last release10/20/2020
Team
Jiwoong Kim
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- Imports3 packages
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