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TLIC  

The LIC for T Distribution Regression Analysis
View on CRAN: Click here


Download and install TLIC package within the R console
Install from CRAN:
install.packages("TLIC")

Install from Github:
library("remotes")
install_github("cran/TLIC")

Install by package version:
library("remotes")
install_version("TLIC", "0.4")



Attach the package and use:
library("TLIC")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
First Published: 2024-09-15
Latest Update: 2024-09-15
Description:
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>.
How to cite:
Guangbao Guo (2024). TLIC: The LIC for T Distribution Regression Analysis. R package version 0.4, https://cran.r-project.org/web/packages/TLIC. Accessed 05 May. 2025.
Previous versions and publish date:
0.1 (2024-09-15 22:10), 0.2 (2024-09-25 13:30), 0.3 (2024-10-29 06:10)
Other packages that cited TLIC R package
View TLIC citation profile
Other R packages that TLIC depends, imports, suggests or enhances
Complete documentation for TLIC
Functions, R codes and Examples using the TLIC R package
Full TLIC package functions and examples
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