estyp 0.2.5

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.

Changelog

V0.2.5

• Added scipy>=1.11.1 as a depedency of the library.
• New modularization of the functions in the testing module.
• R like documentation in the testing.var_test() function.
• Added testing.t_test() function to perform t-test like in software R.

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 test to compare the variances of two samples from normal populations. This function is inspired by the var.test() function of the software R.
• testing.t_test(): Performs one and two sample t-tests on groups of data. This function is inspired by the t.test() function of the software 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].