pystatpower 0.0.1

A Power Analysis Toolkit for Python

PyStatPower

PyStatPower 是一个专注于统计领域功效分析的开源的 Python 库。

主要功能：样本量和检验效能的计算，以及给定参数下估算所需效应量大小。

详细文档

[!WARNING] 本项目处于 alpha 阶段，文档尚未完成。

安装

pip install pystatpower

示例

计算样本量

单组样本率检验

from pystatpower.models import one_proportion

result = one_proportion.solve_for_sample_size(
    alpha=0.05, power=0.80, nullproportion=0.80, proportion=0.95, alternative="two_sided", test_type="exact_test"
)
print(result)

输出：

Size(41.59499160228066)

两独立样本率差异性检验

from pystatpower.models import two_proportion

result = two_proportion.solve_for_sample_size(
    alpha=0.05,
    power=0.80,
    treatment_proportion=0.95,
    reference_proportion=0.80,
    alternative="two_sided",
    test_type="z_test_pooled",
)
print(result)

输出：

(Size(75.11862332120842), Size(75.11862332120842))

计算检验效能

from pystatpower.models.two_proportion import *

result = solve_for_power(
    alpha=0.05,
    treatment_proportion=0.95,
    reference_proportion=0.80,
    alternative="two_sided",
    test_type="z_test_pooled",
    group_allocation=GroupAllocation.ForPower(
        GroupAllocationOption.SIZE_OF_TREATMENT | GroupAllocationOption.SIZE_OF_REFERENCE,
        size_of_treatment=100,
        size_of_reference=50,
    ),
)
print(result)

输出：

Power(0.7865318578853373)

鸣谢

• scipy
• pingouin