Goodness-of-Fit Tests for Location-Scale Distributions via Lorenz Curve

Implements goodness-of-fit test statistics and graphical methods for symmetric and asymmetric location-scale distributions under progressive Type-II censoring using the modified Lorenz curve and ratio modified sample Lorenz curve, as proposed by Lee (2024) . Also provides order statistics distance test statistics based on Pakyari and Balakrishnan (2013) . Supports calculation of test statistics, Monte Carlo p-values, critical values, and L-plot visual diagnostics for complete and progressively Type-II censored data.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("gofLorenz")

0.1.0 by Shikhar Tyagi, 2 months ago


Browse source code at https://github.com/cran/gofLorenz


Authors: Shikhar Tyagi [aut, cre] (ORCID: , Arvind Pandey [aut] , Bhupendra Singh [aut] , Vrijesh Tripathi [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports stats, graphics

Suggests testthat, knitr, rmarkdown


See at CRAN