Khmaladze Martingale Transformation Goodness-of-Fit Test R package KMT version 1.0.0 Consider a goodness-of-fit 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 proposed by Khmaladze (1981) <doi:10.1137/1126027> provides asymptotic distribution free test. This package provides test statistic and critical value of the 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. Software Depends: R (>= 3.5) Imports: Rcpp (>= 1.0.10), ggplot2, stats, utils, Rsolnp, graphics, gumbel LinkingTo: Rcpp, RcppArmadillo Jiwoong Kim <jwboys26@gmail.com> Comprehensive R Archive Network (CRAN) Jiwoong Kim [aut, cre] GPL-2 2026-05-04 application/tgz https://CRAN.R-project.org/package=KMT doi:10.32614/CRAN.package.KMT