kders
| Crates.io | kders |
| lib.rs | kders |
| version | 0.1.1 |
| source | src |
| created_at | 2024-07-29 03:28:33.149743 |
| updated_at | 2024-08-31 05:05:06.796341 |
| description | A basic library for 2D kernel density estimation |
| homepage | https://COMBINE-lab.github.io/kde-rs |
| repository | https://github.com/COMBINE-lab/kde-rs |
| max_upload_size | |
| id | 1318463 |
| size | 32,128 |
Rob Patro (rob-p)
documentation
README
kde-rs
An implementation of a simple, restricted 2D kernel density estimator in Rust.
The kde-rs library is developed for a specific use-case, and while we may consider
generalizing it in the future, that is not a current focus.
Currently, the main restrictions are:
- only 2D estimation is supported
- only integer sample points --- (x, y) pairs are integers --- are supported (but they can be weighted)
- the symmetric Gaussian kernel is the only one currently implemented
However, subject to these constraints, kde-rs strives to be easy to use, and performant.