The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

DepDoubleTruncKS: Kolmogorov-Smirnov Test for Dependently Double-Truncated Durations

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.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats, graphics
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-08-07
DOI: 10.32614/CRAN.package.DepDoubleTruncKS (may not be active yet)
Author: Shikhar Tyagi ORCID iD [aut, cre], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License: GPL (≥ 3)
URL: https://doi.org/10.1007/s10985-026-09722-0
NeedsCompilation: no
CRAN checks: DepDoubleTruncKS results

Documentation:

Reference manual: DepDoubleTruncKS.html , DepDoubleTruncKS.pdf
Vignettes: Kolmogorov-Smirnov Goodness-of-Fit Test for Dependently Double-Truncated Durations (source, R code)

Downloads:

Package source: DepDoubleTruncKS_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): DepDoubleTruncKS_0.1.0.tgz, r-oldrel (arm64): DepDoubleTruncKS_0.1.0.tgz, r-release (x86_64): DepDoubleTruncKS_0.1.0.tgz, r-oldrel (x86_64): DepDoubleTruncKS_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DepDoubleTruncKS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.