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DyGyS

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0.0.5 DyGyS-0.0.5-py3-none-any.whl

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Project: DyGyS
Version: 0.0.5
Filename: DyGyS-0.0.5-py3-none-any.whl
Download: [link]
Size: 49959
MD5: 49fa22399d40d867f40d1091fc22233b
SHA256: 24456b80f3411ccdf748fdf1eb3e18eb1ad4705e25ff9485a332adea10dea5a3
Uploaded: 2023-01-21 10:59:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: DyGyS
Version: 0.0.5
Summary: DyGyS is a package for Maximum Entropy regression models with gravity specification for undirected and directed network data. Moreover, it can solve them, generate the graph ensemble, compute several network statistics, calculate model selection measures such as AIC and BIC and quantify their reproduction accuracy in topological and weighted properties.
Author-Email: Marzio Di Vece <marzio.divece[at]imtlucca.it>
Project-Url: Homepage, https://github.com/MarsMDK/DyGyS
Keywords: maximum entropy methods,econometrics,regression,graph,network
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.8
Requires-Dist: numpy (>=1.21.5)
Requires-Dist: numba (>=0.55.1)
Requires-Dist: numba-scipy (>=0.3.1)
Requires-Dist: tomli; python_version >= "3.8"
Requires-Dist: pytest; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 14350 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
DyGyS/Directed_class.py sha256=Zo6TkHN5CFh7xXRW6a1n0i3FQYioma8FB2dMTdOUiVY 26007
DyGyS/Undirected_class.py sha256=dmNhzdrcYmmKwxO-QIkZtigzdn-5FbQPRnTiXya2ChI 24327
DyGyS/__init__.py sha256=I9suRDTWQPeX6iKVV6f_rjFe_xPHXKQzQit5m1cgxVI 377
DyGyS/ensemble_Functions.py sha256=hKofU_nhJDTKGUOQZtkDX1A--QXLHAOHpi-3svkPEOI 46193
DyGyS/ll_Functions_conditional.py sha256=VXBFwDkQExnh7Kmsu8cIYECt-G7wuPK_4BPgTcSEpE0 20899
DyGyS/ll_Functions_econometrics.py sha256=5oEs13mMj0mqn8RoYS5ruxfX6aMzMiw041T9Z3owmzE 14404
DyGyS/ll_Functions_integrated.py sha256=9-5k4TPk6MjnB1gd_U9oZprQVAzrUoMCx-kqsokjWEc 38563
DyGyS/netstats_Functions.py sha256=Z0v5478TLWqngbG0TTfIuUKc90WgAh5MF-dcyNbrbVI 53146
DyGyS/solver_Functions.py sha256=o9YRe2onir35EcFFfKbGoF0qA5D849vCLAUcr9dGmI8 52550
DyGyS-0.0.5.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
DyGyS-0.0.5.dist-info/METADATA sha256=b34zNIetkURVkeX06DuWLwG4ro8v1CC6lDJoujfAjFE 15673
DyGyS-0.0.5.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
DyGyS-0.0.5.dist-info/top_level.txt sha256=s1evMhnRlxrieTAcg4r6arcL3WCPkFwwBiWlhortvcg 6
DyGyS-0.0.5.dist-info/RECORD — —

top_level.txt

DyGyS