lynx

<p>Annual record of the number of the Canadian
Lynx `trapped' in the Mackenzie River
district of the North-West Canada for the period 1821-1934.</p>

datasets

The sdrt() function is designed for estimating subspaces for Sufficient Dimension Reduction (SDR) in time series, with a specific focus on the Time Series Central Mean subspace (TS-CMS). The package employs the Fourier transformation method proposed by Samadi and De Alwis (2023) <doi:10.48550/arXiv.2312.02110> and the Nadaraya-Watson kernel smoother method proposed by Park et al. (2009) <doi:10.1198/jcgs.2009.08076> for estimating the TS-CMS. The package provides tools for estimating distances between subspaces and includes functions for selecting model parameters using the Fourier transformation method.

Tharindu P. De Alwis

sdrt

Estimating the Sufficient Dimension Reduction Subspaces in Time
Series

S. Yaser  Samadi

lynx function

<p>A data list with 114 rows containing the count of Canadian Lynx from 1821-1934.</p>

lynx: Canadian Lynx Data.

Description

Usage

Arguments

Format