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>.

Version:	0.2
Imports:	stats, LaplacesDemon, fBasics
Published:	2024-09-25
DOI:	10.32614/CRAN.package.TLIC
Author:	Guangbao Guo [aut, cre], Guofu Jing [aut]
Maintainer:	Guangbao Guo <ggb11111111 at 163.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	TLIC results

Documentation:

Reference manual:

TLIC.pdf

Downloads:

Package source:	TLIC_0.2.tar.gz
Windows binaries:	r-devel: TLIC_0.1.zip, r-release: TLIC_0.2.zip, r-oldrel: TLIC_0.1.zip
macOS binaries:	r-release (arm64): TLIC_0.2.tgz, r-oldrel (arm64): TLIC_0.2.tgz, r-release (x86_64): TLIC_0.2.tgz, r-oldrel (x86_64): TLIC_0.2.tgz
Old sources:	TLIC archive

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