Numba-accelerated implementations of common probability distributions
numba-stats provides numba-accelerated implementations of statistical functions for common probability distributions. * Uniform * (Truncated) Normal * Log-normal * Poisson * (Truncated) Exponential * Student's t * Voigtian * Crystal Ball * Generalised double-sided Crystal Ball * Tsallis-Hagedorn, a model for the minimum bias pT distribution * Q-Gaussian * Bernstein density * Cruijff density
$
pkg install py311-numba-statsOrigin
math/py-numba-stats
Size
179KiB
License
MIT
Maintainer
yuri@FreeBSD.org
Dependencies
2 packages
Required by
0 packages