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hierSDR
View on CRAN: Click
here
Download and install hierSDR package within the R console
Install from CRAN:
install.packages("hierSDR")
Install from Github:
library("remotes")
install_github("cran/hierSDR")
Install by package version:
library("remotes")
install_version("hierSDR", "0.1")
Attach the package and use:
library("hierSDR")
Maintained by
Jared Huling
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-23
Latest Update: 2021-09-23
Description:
Provides semiparametric sufficient dimension reduction for central mean subspaces for heterogeneous data defined by combinations of binary factors (such as chronic conditions). Subspaces are estimated to be hierarchically nested to respect the structure of subpopulations with overlapping characteristics. This package is an implementation of the proposed methodology of Huling and Yu (2021) .
How to cite:
Jared Huling (2021). hierSDR: Hierarchical Sufficient Dimension Reduction. R package version 0.1, https://cran.r-project.org/web/packages/hierSDR. Accessed 27 Jan. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for hierSDR
Functions, R codes and Examples using
the hierSDR R package
Some associated functions: angle . hier.phd.nt . hier.sphd . phd . plot . projnorm . semi.phd . simulate_data .
Some associated R codes: hier_sphd.R . misc.R . semiparametric_sdr.R . simulate_data.R . utils.R . zzz.R . Full hierSDR package functions and examples
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