caustests
1.1.1Multiple Granger Causality Tests for Time Series and Panel Data
Overview
Comprehensive suite of Granger causality tests for time series and panel data. For time series: Toda-Yamamoto (1995) doi:10.1016/0304-4076(94)01616-8, Fourier-based tests with single frequency (Enders and Jones, 2016) doi:10.1515/snde-2014-0101 and cumulative frequencies (Nazlioglu et al., 2019) doi:10.1080/1540496X.2018.1434072, quantile causality tests (Cai et al., 2023) doi:10.1016/j.frl.2023.104327, and Bootstrap Fourier Granger Causality in Quantiles (Cheng et al., 2021) doi:10.1007/s12076-020-00263-0. For panel data: Panel Fourier Toda-Yamamoto (Yilanci and Gorus, 2020) doi:10.1007/s11356-020-10092-9 and Panel Quantile Causality tests (Wang and Nguyen, 2022) doi:10.1080/1331677X.2021.1952089, as well as Group-Mean and Pooled Fully Modified OLS estimators for panel cointegrating polynomial regressions (Wagner and Reichold, 2023) doi:10.1080/07474938.2023.2178141. All tests include bootstrap inference for robust p-values.
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- OK2026-03-147 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 5.0 median / 27 max
- Test cases
- 18 / 0.08 per code line
- Documented parameters
- 100%
Test coverage
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44 5 exported
Complexity
6.8 avg / 27 max
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44 nodes / 40 edges
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.1.1Latest
- 1.0.22026-03-13
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-13
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 4.6 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet