<p>The Planning Database (pdb) contains selected data from the 2010 Census and the 2009-2013, 5-years American Community Survey (ACS) estimates.</p>

datasets

The itdr() routine allows  for the estimation of sufficient dimension reduction subspaces in univariate regression such as the central mean subspace or central subspace in regression. This is achieved using Fourier transformation methods proposed by Zhu and Zeng (2006) <doi:10.1198/016214506000000140>, convolution transformation methods proposed by Zeng and Zhu (2010) <doi:10.1016/j.jmva.2009.08.004>, and iterative Hessian transformation methods proposed by Cook and Li (2002) <doi:10.1214/aos/1021379861>. Additionally, mitdr() function provides optimal estimators for sufficient dimension reduction subspaces in multivariate regression by optimizing a discrepancy function using a Fourier transform approach proposed by Weng and Yin (2022) <doi:10.5705/ss.202020.0312>, and selects the sufficient variables using Fourier transform sparse inverse regression estimators proposed by Weng (2022) <doi:10.1016/j.csda.2021.107380>.

Tharindu P. De Alwis

itdr

Integral Transformation Methods for SDR in Regression

S. Yaser  Samadi

Jiaying  Weng

pdb function

<p>A dataset with 815 observations and 344 attributes.</p>

pdb: Planning Database (Published in year 2015)

Description

Usage

Arguments

Format