pdSpecEst
An Analysis Toolbox for Hermitian Positive Definite Matrices
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.
- Version1.2.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release01/08/2020
Documentation
Team
Joris Chau
MaintainerShow author details
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Last 30 days
This package has been downloaded 191 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
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Last 365 days
This package has been downloaded 2,764 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 137 downloads.
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Dependencies
- Imports4 packages
- Suggests7 packages
- Linking To2 packages