# Learning on Riemannian Manifolds

**Riemann** is an R package for learning with data on **Riemannian manifolds**. In statistics and machine learning, the term *manifold* appears in two realms; one is *dimensionality reduction* where we assume that low-dimensional data manifold is embedded in high-dimensional Euclidean space. The other is *statistics on manifolds* - data lie on some Riemannian manifolds that we are already well aware of. **Riemann** aims at the latter. If you are interested in dimension reduction, please check another R package Rdimtools.

### Installation

- Option 1 :
**released** version from CRAN.

`install.packages("Riemann")`

- Option 2 :
**development** version from GitHub.

```
if (!require("devtools")) {
install.packages("devtools")
}
devtools::install_github("kyoustat/Riemann")
```