Python wrapper for the libstable
C library.
To fit with ML estimation:
import pystable
init_fit = {'alpha': 2, 'beta': 0, 'sigma': 1, 'mu': 0,
'parameterization': 1}
dist = pystable.create(init_fit['alpha'], init_fit['beta'],
init_fit['sigma'], init_fit['mu'],
init_fit['parameterization'])
pystable.fit(dist, data, len(data))
fit_params = [dist.contents.alpha, dist.contents.beta,
dist.contents.sigma, dist.contents.mu_0, dist.contents.mu_1]
Install the GNU Scientific Library (GSL).
Arch Linux:
$ yay gsl
Mac:
$ brew install gsl
Ubuntu:
$ sudo apt install gsl-bin libgsl0-dev
$ cd libstable
$ make
or
$ poetry build
$ poetry run coverage run -m pytest && poetry run coverage report -m
-
import ctypes as ct
- create lib structure
- create example file utilizing pystable lib
- typings
- handle errors
- handle NULL pointer errors
- handle
err
-
stable_checkparams
- impl
- test
- example
- handle error
- test error
-
stable_create
- impl
- test
- example
-
stable_cdf
- impl
- test
- example
-
stable_pdf
- impl
- test
- example
-
stable_fit
- impl
- test
- example
-
stable_q
- impl
- test
- example
-
stable_rnd
- impl
- test
- example