Package: TLIC 0.2
TLIC: The LIC for T Distribution Regression Analysis
This comprehensive toolkit for T-distribution regression, known as the analysis of "TLIC" (T-distribution Linear regression Integrated Corrector), adopts ordinary least squares method and assumes that errors follow a T-distribution. This approach gives it an advantage when dealing with small samples or non-normal error distributions, and can provide more robust parameter estimation and hypothesis testing results.The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
Authors:
TLIC_0.2.tar.gz
TLIC_0.2.zip(r-4.5)TLIC_0.2.zip(r-4.4)TLIC_0.2.zip(r-4.3)
TLIC_0.2.tgz(r-4.4-any)TLIC_0.2.tgz(r-4.3-any)
TLIC_0.2.tar.gz(r-4.5-noble)TLIC_0.2.tar.gz(r-4.4-noble)
TLIC_0.2.tgz(r-4.4-emscripten)TLIC_0.2.tgz(r-4.3-emscripten)
TLIC.pdf |TLIC.html✨
TLIC/json (API)
| # Install 'TLIC' in R: |
| install.packages('TLIC', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org')) |
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Last updated 1 months agofrom:5fa3119ef5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 26 2024 |
| R-4.5-win | OK | Sep 26 2024 |
| R-4.5-linux | OK | Sep 26 2024 |
| R-4.4-win | OK | Sep 26 2024 |
| R-4.4-mac | OK | Sep 26 2024 |
| R-4.3-win | OK | Sep 26 2024 |
| R-4.3-mac | OK | Sep 26 2024 |
Dependencies:fBasicsgssLaplacesDemonMASSspatialstabledisttimeDatetimeSeries
