File: C:/Users/fred/anaconda3/pkgs/statsmodels-0.14.2-py312h4b0e54e_0/info/recipe/meta.yaml.template
{% set name = "statsmodels" %}
{% set version = "0.14.2" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
sha256: 890550147ad3a81cda24f0ba1a5c4021adc1601080bd00e191ae7cd6feecd6ad
build:
skip: True # [py<39]
number: 0
script: {{ PYTHON }} -m pip install . --no-deps --no-build-isolation -vv
requirements:
build:
- {{ compiler('c') }}
host:
- python
- cython >=3.0.10,<4
- numpy 1.23 # [py<311]
- numpy {{ numpy }} # [py>=311]
- pip
- scipy >=1.13,<2
- setuptools
- setuptools_scm >=8.0,<9
- toml
- wheel
run:
- python
- {{ pin_compatible('numpy') }}
- packaging >=21.3
- pandas >=1.4,!=2.1.0
- patsy >=0.5.6
- scipy >=1.8,!=1.9.2
test:
imports:
- statsmodels
requires:
- pip
commands:
- pip check
about:
home: https://www.statsmodels.org
dev_url: https://github.com/statsmodels/statsmodels
doc_url: https://www.statsmodels.org/stable/
license: BSD-3-Clause
license_file: LICENSE.txt
license_family: BSD
summary: Statistical computations and models for use with SciPy
description: |
Statsmodels is a Python module that allows users to explore data, estimate
statistical models, and perform statistical tests. An extensive list of
descriptive statistics, statistical tests, plotting functions, and result
statistics are available for different types of data and each estimator.
Researchers across fields may find that statsmodels fully meets their
needs for statistical computing and data analysis in Python.
extra:
recipe-maintainers:
- tomaugspurger
- croth1
- ocefpaf