pkgsrc.se | The NetBSD package collection

NOTICE: This package has been removed from pkgsrc

./wip/py-hddm, Hierarchical Bayesian estimation of Drift Diffusion Models

[ CVSweb ] [ Homepage ] [ RSS ] [ Required by ]

Branch: CURRENT, Version: 0.5.4, Package name: py310-hddm-0.5.4, Maintainer: jihbed.research

HDDM is a python toolbox for hierarchical Bayesian parameter estimation
of the Drift Diffusion Model (via PyMC). Drift Diffusion Models are used
widely in psychology and cognitive neuroscience to study decision making

Required to run:
[devel/py-setuptools] [x11/py-wxWidgets] [math/py-scipy] [math/py-numpy] [devel/py-cython] [math/py-patsy] [lang/gcc7] [lang/python37]

Required to build:
[pkgtools/x11-links] [x11/xcb-proto] [x11/fixesproto4] [pkgtools/cwrappers] [x11/xorgproto]

Master sites:

https://files.pythonhosted.org/packages/source/H/HDDM/ (Download)

RMD160: b0d69d430b87fced9327b8517f6ed42581ade58d
Filesize: 1304.097 KB

Version history: (Expand)

(2023-06-27) Package deleted from pkgsrc
(2023-02-13) Updated to version: py310-hddm-0.5.4
(2023-02-13) Package has been reborn
(2021-10-08) Updated to version: py39-hddm-0.5.4
(2020-09-29) Package has been reborn
(2020-09-29) Package deleted from pkgsrc

CVS history: (Expand)

2014-07-26 20:25:02 by Kamel Derouiche | Files touched by this commit (4)

Log message:
Import py27-hddm-0.5.4 as wip/py-hddm.

HDDM is a python toolbox for hierarchical Bayesian parameter estimation
of the Drift Diffusion Model (via PyMC). Drift Diffusion Models are used
widely in psychology and cognitive neuroscience to study decision making