riemtan: Riemannian Metrics for Symmetric Positive Definite Matrices
Implements various Riemannian metrics for symmetric positive definite matrices, including AIRM (Affine Invariant Riemannian Metric, see Pennec, Fillard, and Ayache (2006) <doi:10.1007/s11263-005-3222-z>), Log-Euclidean (see Arsigny, Fillard, Pennec, and Ayache (2006) <doi:10.1002/mrm.20965>), Euclidean, Log-Cholesky (see Lin (2019) <doi:10.1137/18M1221084>), and Bures-Wasserstein metrics (see Bhatia, Jain, and Lim (2019) <doi:10.1016/j.exmath.2018.01.002>). Provides functions for computing logarithmic and exponential maps, vectorization, and statistical operations on the manifold of positive definite matrices.
| Version: | 
0.1.0 | 
| Depends: | 
R (≥ 4.3.0), Matrix | 
| Imports: | 
methods, expm, R6, purrr, MASS, furrr | 
| Suggests: | 
testthat (≥ 3.0.0), knitr, rmarkdown | 
| Published: | 
2025-04-23 | 
| DOI: | 
10.32614/CRAN.package.riemtan | 
| Author: | 
Nicolas Escobar  
    [aut, cre],
  Jaroslaw Harezlak [ths] | 
| Maintainer: | 
Nicolas Escobar  <nescoba at iu.edu> | 
| BugReports: | 
https://github.com/nicoesve/riemtan/issues | 
| License: | 
MIT + file LICENSE | 
| URL: | 
https://nicoesve.github.io/riemtan/ | 
| NeedsCompilation: | 
no | 
| Materials: | 
README, NEWS  | 
| CRAN checks: | 
riemtan results | 
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