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  "Title": "Kolmogorov-Smirnov Test for Dependently Double-Truncated\nDurations",
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  "Description": "Performs the Kolmogorov-Smirnov-type goodness-of-fit test\nfor exponential duration models under independent or\ndependently double-truncated sampling scheme using\nFarlie-Gumbel-Morgenstern ('FGM') copulas, as proposed by\nToparkus and Weissbach (2026) <doi:10.1007/s10985-026-09722-0>.\nProvides functions for profile maximum likelihood estimation /\nscore equation solving, computation of the two-dimensional\nKolmogorov-Smirnov test statistic over the double-truncation\nparallelogram, simulation of the asymptotic Gaussian process\nlimit distribution for critical values and p-value calculation,\nand synthetic dataset generation.",
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      "page": "calc_alpha_fgm",
      "title": "Calculate Observation Probability for FGM-Dependent Double Truncation",
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      "title": "Region Integral E_theta(g_x,t,D) for FGM-Dependent Model",
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    },
    {
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      "title": "Region Integral E_theta(g_x,t,D) for Independent Model",
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    {
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      "title": "Synthetic Enterprise Lifespans under Double Truncation",
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      "title": "Fit Double-Truncated Exponential Duration Model",
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      "page": "ks_dep_trunc",
      "title": "Kolmogorov-Smirnov-type Test for Dependently Double-Truncated Data",
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      "title": "Plot S3 Method for ks_dep_trunc",
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      "title": "Print S3 Method for ks_dep_trunc",
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      "title": "Simulate Double-Truncated Duration Data",
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