liborty/rstats

Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median, Hulls, Machine Learning, multithreading implementation...

36
/ 100
Emerging

This tool helps data analysts, statisticians, and machine learning practitioners perform robust multidimensional data analysis. It takes in vectors of real data and outputs statistical measures like geometric medians and median correlations, which are more stable than traditional methods. Its primary users are professionals working with complex datasets who need reliable insights from their data.

56 stars and 1,390 monthly downloads. No commits in the last 6 months.

Use this if you need to analyze multidimensional datasets and prefer robust, rotation-independent statistical measures over traditional mean-based methods.

Not ideal if your workflow relies heavily on classical parametric statistics or if you only work with one-dimensional data.

data-analysis machine-learning statistics multidimensional-analysis robust-statistics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 15 / 25
Maturity 16 / 25
Community 5 / 25

How are scores calculated?

Stars

56

Forks

2

Language

Rust

License

Apache-2.0

Last pushed

Jul 20, 2024

Monthly downloads

1,390

Commits (30d)

0

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