specification-curve 0.1.0

Quickstart

from specification_curve import specification_curve as sc
import numpy as np
n_samples = 100
x_1 = np.random.random(size=n_samples)
x_2 = np.random.random(size=n_samples)
x_3 = np.random.random(size=n_samples)
x_4 = np.random.randint(2, size=n_samples)
y = (0.8*x_1 + 0.1*x_2 + 0.5*x_3 + x_4*0.6 +
        + 2*np.random.randn(n_samples))

df = pd.DataFrame([x_1, x_2, x_3, x_4, y],
                  ['x_1', 'x_2', 'x_3', 'x_4', 'y']).T
y_endog = 'y'
x_exog = 'x_1'
controls = ['x_2', 'x_3', 'x_4']
# Set x_4 as a categorical variable
df['x_4'] = df['x_4'].astype('category')

df_r = sc.spec_curve(df, y_endog, x_exog, controls,
                        cat_expand=['x_4'])

Features

• TODO

Similar Packages

In RStats, there is specr (which inspired many design choices in this package) and spec_chart. Some of the example data in this package is the same as in specr.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.