Introduction | Method Overview | Quick Start Example | Reference
Package: DepDoubleTruncKS 0.1.0
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.
Authors:
DepDoubleTruncKS_0.1.0.tar.gz
DepDoubleTruncKS_0.1.0.zip(r-4.7-any)DepDoubleTruncKS_0.1.0.zip(r-4.6-any)DepDoubleTruncKS_0.1.0.zip(r-4.5-any)
DepDoubleTruncKS_0.1.0.tgz(r-4.6-any)DepDoubleTruncKS_0.1.0.tgz(r-4.5-any)
DepDoubleTruncKS_0.1.0.tar.gz(r-4.7-any)DepDoubleTruncKS_0.1.0.tar.gz(r-4.6-any)
DepDoubleTruncKS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DepDoubleTruncKS/json (API)
| # Install 'DepDoubleTruncKS' in R: |
| install.packages('DepDoubleTruncKS', repos = c('https://shikhartyagi.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- enterprise_data - Synthetic Enterprise Lifespans under Double Truncation
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:30a64e558a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 103 | ||
| source / vignettes | OK | 154 | ||
| linux-release | OK | 93 | ||
| macos-release | OK | 77 | ||
| macos-oldrel | OK | 86 | ||
| windows-devel | OK | 79 | ||
| windows-release | OK | 64 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 74 |
Exports:calc_alpha_fgmcalc_alpha_indcalc_critical_valuescalc_E_fgmcalc_E_indcalc_ks_statfit_double_truncks_dep_truncsim_double_trunc
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate Observation Probability for FGM-Dependent Double Truncation | calc_alpha_fgm |
| Calculate Observation Probability for Independent Double Truncation | calc_alpha_ind |
| Calculate Asymptotic Critical Values and P-Value | calc_critical_values |
| Region Integral E_theta(g_x,t,D) for FGM-Dependent Model | calc_E_fgm |
| Region Integral E_theta(g_x,t,D) for Independent Model | calc_E_ind |
| Compute 2D Kolmogorov-Smirnov Test Statistic for Truncated Data | calc_ks_stat |
| Synthetic Enterprise Lifespans under Double Truncation | enterprise_data |
| Fit Double-Truncated Exponential Duration Model | fit_double_trunc |
| Kolmogorov-Smirnov-type Test for Dependently Double-Truncated Data | ks_dep_trunc |
| Plot S3 Method for ks_dep_trunc | plot.ks_dep_trunc |
| Print S3 Method for ks_dep_trunc | print.ks_dep_trunc |
| Simulate Double-Truncated Duration Data | sim_double_trunc |
| Summary S3 Method for ks_dep_trunc | summary.ks_dep_trunc |