Package: itdr
Type: Package
Title: Integral Transformation Methods for SDR in Regression
Version: 2.0.1
Authors@R: c(person(given="Tharindu", family="P. De Alwis",
    role=c("aut","cre"),email="talwis@wpi.edu",
    comment = c(ORCID = "0000-0002-3446-0502")),
    person(given="S. Yaser ", family="Samadi",
    role=c("ctb","aut"),email="ysamadi@siu.edu",
    comment = c(ORCID = "0000-0002-6121-0234")),
    person(given="Jiaying ",family="Weng",
    role=c("ctb","aut"),email="jweng@bentley.edu",
    comment = c(ORCID = "0000-0002-9463-5714")))
Depends: R(>= 3.5.0)
Imports: stats,utils,MASS,geigen,magic,energy,tidyr
Description: 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>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2024-02-25 17:55:58 UTC; talwis
Author: Tharindu P. De Alwis [aut, cre]
    (<https://orcid.org/0000-0002-3446-0502>),
  S. Yaser Samadi [ctb, aut] (<https://orcid.org/0000-0002-6121-0234>),
  Jiaying Weng [ctb, aut] (<https://orcid.org/0000-0002-9463-5714>)
Maintainer: Tharindu P. De Alwis <talwis@wpi.edu>
Repository: CRAN
Date/Publication: 2024-02-26 13:40:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-10 03:22:17 UTC; windows
Archs: x64
