R package KScorrect: Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests. Implements the Lilliefors-corrected Kolmogorov-Smirnov test for use in goodness-of-fit tests, suitable when population parameters are unknown and must be estimated by sample statistics. P-values are estimated by simulation. Can be used with a variety of continuous distributions, including normal, lognormal, univariate mixtures of normals, uniform, loguniform, exponential, gamma, and Weibull distributions. Functions to generate random numbers and calculate density, distribution, and quantile functions are provided for use with the log uniform and mixture distributions.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Güney, Yeşim; Jurečková, Jana; Arslan, Olcay: Averaged autoregression quantiles in autoregressive model (2020)
- Justine Lequesne, Philippe Regnault: vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence (2020) not zbMATH