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KScorrect  

Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests
View on CRAN: Click here


Download and install KScorrect package within the R console
Install from CRAN:
install.packages("KScorrect")

Install from Github:
library("remotes")
install_github("cran/KScorrect")

Install by package version:
library("remotes")
install_version("KScorrect", "1.4.0")



Attach the package and use:
library("KScorrect")
Maintained by
Phil Novack-Gottshall
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-19
Latest Update: 2019-07-03
Description:
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.
How to cite:
Phil Novack-Gottshall (2016). KScorrect: Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests. R package version 1.4.0, https://cran.r-project.org/web/packages/KScorrect. Accessed 16 Jul. 2026.
Previous versions and publish date:
1.2.0 (2016-03-19 14:57), 1.2.3 (2018-03-04 18:20), 1.2.4 (2018-08-14 23:30), (2026-07-09 08:07)
Other packages that cited KScorrect R package
View KScorrect citation profile
Other R packages that KScorrect depends, imports, suggests or enhances
Complete documentation for KScorrect
Functions, R codes and Examples using the KScorrect R package
Some associated functions: KScorrect-package . LcKS . dlunif . dmixnorm . ks_test_stat . 
Some associated R codes: KScorrect.R . LcKS.R . dlunif.R . dmixnorm.R . ks_test_stat.R . plunif.R . pmixnorm.R . qlunif.R . qmixnorm.R . rlunif.R . rmixnorm.R .  Full KScorrect package functions and examples
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