NEWS.md

In Riemann: Learning with Data on Riemannian Manifolds

Riemann 0.1.4

• Two mixture models on the unit hypersphere added.
• Supports for spherical Laplace distribution added.
• riem.phate() is added for sub-manifold learning/visualization.
• New data from EEG ERPs is available by data(ERP).
• spd.wassbary() is added to compute Wasserstein barycenter of Gaussian distributions.

Riemann 0.1.3

• Modified mle.spnorm() for controls with user-defined stopping criteria.
• Fixed log-likelihood evaluation for mixspnorm().

Riemann 0.1.2

• Added riem.m2skreg() for manifold-to-scalar kernel regression and riem.m2skregCV() for parameter selection using cross validation.

Riemann 0.1.1

• Interfaces to some of the functions are simplified to emphasize key parameters only for users.
• Added functionalities added galore.
• Vignette for an elementary usage of the package is added.

Riemann 0.1.0

• Added a NEWS.md file to track changes to the package.
• Initial release : Hello, World!

Riemann documentation built on March 18, 2022, 7:55 p.m.