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CLIC (version 0.1)

The LIC for Distributed Cosine Regression Analysis

Description

This comprehensive framework for periodic time series modeling is designated as "CLIC" (The LIC for Distributed Cosine Regression Analysis) analysis. It is predicated on the assumption that the underlying data exhibits complex periodic structures beyond simple harmonic components. The philosophy of the method is articulated in Guo G. (2020) .

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Version

Install

install.packages('CLIC')

Monthly Downloads

116

Version

0.1

License

MIT + file LICENSE

Maintainer

Guangbao Guo

Last Published

August 27th, 2025

Functions in CLIC (0.1)

CLIC

CLIC function based on LIC with cosine_random distributed errors
beta_cor

Caculate the estimator of beta on the COR
LICnew

Calculate the LIC estimator based on A-optimal and D-optimal criterion
beta_AD

Caculate the estimators of beta on the A-opt and D-opt
cerr

cerr function is used to generate a dataset where the error term follows cosine-based distributions