estyp 0.2.4

Extended Statistical Toolkit Yet Practical

ESTYP: Extended Statistical Toolkit Yet Practical

Description

This library is a collection of statistical functions for Python. It includes a function for performing stepwise with AIC criterion and a function for the F-ratio test.

Actually, the name comes from the way my friends call me (esty), plus the "p" which is the initial of python.

Functions

• linear_model.LogisticRegression(): This class implements a logistic regression model. It inherits from the sklearn.linear_model.LogisticRegression() class, but adds additional methods for calculating confidence intervals, p-values, and model summaries.
• linear_model.stepwise.both_selection(): This function performs both forward and backward variable selection using the Akaike Information Criterion (AIC).
• testing.var_test(): Performs an F-ratio test to compare the variances of two samples. The output was inspired by the var_test() function in R.

Installation

To install this library, you can use pip:

pip install estyp

License

This library is under the MIT license.

Contact

If you have any questions about this library, you can contact me at [e-mail].