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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 DepDoubleTruncKS_0.1.0.tar.gz 98.0 KiB
0.1.0 rolling linux/noble R-4.5 DepDoubleTruncKS_0.1.0.tar.gz 97.8 KiB
0.1.0 rolling source/ R- DepDoubleTruncKS_0.1.0.tar.gz 34.5 KiB
0.1.0 latest linux/jammy R-4.5 DepDoubleTruncKS_0.1.0.tar.gz 98.0 KiB
0.1.0 latest linux/noble R-4.5 DepDoubleTruncKS_0.1.0.tar.gz 97.8 KiB
0.1.0 latest source/ R- DepDoubleTruncKS_0.1.0.tar.gz 34.5 KiB
0.1.0 2026-04-23 source/ R- DepDoubleTruncKS_0.1.0.tar.gz 0 B

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