Riemannian Metrics for Symmetric Positive Definite Matrices R package riemtan version 0.2.5 Implements various Riemannian metrics for symmetric positive definite matrices, including AIRM (Affine Invariant Riemannian Metric, <doi:10.1007/s11263-005-3222-z>), Log-Euclidean (<doi:10.1002/mrm.20965>), Euclidean, Log-Cholesky (<doi:10.1137/18M1221084>), and Bures-Wasserstein metrics (<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. Software Depends: R (>= 4.3.0) Imports: arrow, future, furrr, jsonlite, Matrix, methods, R6, purrr, MASS, matrixStats, Rcpp (>= 1.0.0) LinkingTo: Rcpp, RcppEigen Suggests: progressr, testthat (>= 3.0.0), knitr, rmarkdown Nicolas Escobar <nescoba@iu.edu> Comprehensive R Archive Network (CRAN) Nicolas Escobar [aut, cre] (ORCID: <https://orcid.org/0009-0006-0800-5692>), Jaroslaw Harezlak [ths] MIT + file LICENSE (https://CRAN.R-project.org/package=riemtan/LICENSE) 2025-11-10 application/tgz https://CRAN.R-project.org/package=riemtan doi:10.32614/CRAN.package.riemtan