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pdSpecEst  

An Analysis Toolbox for Hermitian Positive Definite Matrices
View on CRAN: Click here


Download and install pdSpecEst package within the R console
Install from CRAN:
install.packages("pdSpecEst")

Install from Github:
library("remotes")
install_github("cran/pdSpecEst")

Install by package version:
library("remotes")
install_version("pdSpecEst", "1.2.4")



Attach the package and use:
library("pdSpecEst")
Maintained by
Joris Chau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-16
Latest Update: 2020-01-08
Description:
An implementation of data analysis tools for samples of symmetric or Hermitian positive definite matrices, such as collections of covariance matrices or spectral density matrices. The tools in this package can be used to perform: (i) intrinsic wavelet transforms for curves (1D) or surfaces (2D) of Hermitian positive definite matrices with applications to dimension reduction, denoising and clustering in the space of Hermitian positive definite matrices; and (ii) exploratory data analysis and inference for samples of positive definite matrices by means of intrinsic data depth functions and rank-based hypothesis tests in the space of Hermitian positive definite matrices.
How to cite:
Joris Chau (2017). pdSpecEst: An Analysis Toolbox for Hermitian Positive Definite Matrices. R package version 1.2.4, https://cran.r-project.org/web/packages/pdSpecEst
Previous versions and publish date:
1.0.0 (2017-01-16 14:16), 1.1.0 (2017-07-01 18:25), 1.1.1 (2017-07-03 00:00), 1.2.0 (2017-12-09 10:41), 1.2.1 (2017-12-10 16:10), 1.2.2 (2018-07-10 22:10), 1.2.3 (2018-10-06 18:00)
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