:bdg-link-primary:`Google Scholar <https://scholar.google.ch/citations?user=e5yVf8AAAAAJ&hl=en>`
:bdg-link-primary:`ORCiD <https://orcid.org/0000-0002-1694-3375>`
:bdg-link-primary:`GitHub <https://github.com/tdegeus>`

**********
Statistics
**********

Random number generator
-----------------------

:bdg-link-info:`prrng <https://github.com/tdegeus/prrng>`
:bdg-success-line:`C++`
:bdg-success-line:`Python`

Portable Random Number Generator:
draw the same sequence of random numbers from Python or C++ on any platform (Linux, Mac, Windows).

Ensemble averaging
------------------

:bdg-link-info:`GooseEYE <https://github.com/tdegeus/GooseEYE>`
:bdg-success-line:`C++`
:bdg-success-line:`Python`

Perform geometrical statistics on microstructures and interfaces.

:bdg-link-info:`enstat <https://github.com/tdegeus/enstat>`
:bdg-success-line:`Python`

Compute ensemble averages, without keeping all data in memory.

:bdg-link-info:`powerfit <https://github.com/tdegeus/powerfit>`
:bdg-success-line:`Python`

Fit a power-law to data.