Kolmogorov-Smirnov Test for Dependently Double-Truncated Durations R package DepDoubleTruncKS version 0.1.0 Performs the Kolmogorov-Smirnov-type goodness-of-fit test for exponential duration models under independent or dependently double-truncated sampling scheme using Farlie-Gumbel-Morgenstern ('FGM') copulas, as proposed by Toparkus and Weissbach (2026) <doi:10.1007/s10985-026-09722-0>. Provides functions for profile maximum likelihood estimation / score equation solving, computation of the two-dimensional Kolmogorov-Smirnov test statistic over the double-truncation parallelogram, simulation of the asymptotic Gaussian process limit distribution for critical values and p-value calculation, and synthetic dataset generation. Software Depends: R (>= 3.5.0) Imports: stats, graphics Suggests: testthat (>= 3.0.0), knitr, rmarkdown Shikhar Tyagi <shikhar1093tyagi@gmail.com> Comprehensive R Archive Network (CRAN) Shikhar Tyagi [aut, cre] (ORCID: <https://orcid.org/0000-0003-1606-0844>), Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut] GPL (>= 3) 2026-08-07 application/tgz https://CRAN.R-project.org/package=DepDoubleTruncKS doi:10.32614/CRAN.package.DepDoubleTruncKS