| Name : R-itdr
| |
| Version : 2.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.2.1
| Date : 2024-06-24 15:35:10
|
| Group : Development/Libraries/Other
| Source RPM : R-itdr-2.0.1-lp156.2.1.src.rpm
|
| Size : 1.67 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Integral Transformation Methods for SDR in Regression
|
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
