gctsc
0.2.5Gaussian and Student-t Copula Models for Count Time Series
Overview
Provides likelihood-based inference for Gaussian and Student-t copula models for univariate count time series. Supports Poisson, negative binomial, binomial, beta-binomial, and zero-inflated marginals with ARMA dependence structures. Includes simulation, maximum-likelihood estimation, residual diagnostics, and predictive inference. Implements Time Series Minimax Exponential Tilting (TMET) doi:10.1016/j.csda.2026.108344, an adaptation of minimax exponential tilting of Botev (2017) doi:10.1111/rssb.12162. Also provides a linear-cost implementation of the Geweke–Hajivassiliou–Keane (GHK) simulator following Masarotto and Varin (2012) doi:10.1214/12-EJS721, and the Continuous Extension (CE) approximation of Nguyen and De Oliveira (2025) doi:10.1080/02664763.2025.2498502. The package follows the S3 design philosophy of 'gcmr' but is developed independently.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 3 earlier snapshots
- OK2026-03-2114 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1413 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 25%
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Repository
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Checks run against github.com/qnnhu/gctsc on 2026-07-31.
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Code & Tests
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Package metadata
- First published
- 2025-12-17
- Total releases
- 5 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 460 KB / 4 files
- Download size
- 630 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet