estyp 0.3.0

Extended Statistical Toolkit Yet Practical

ESTYP: Extended Statistical Toolkit Yet Practical

Description

This library is a collection of statistical functions for Python.

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

Changelog

V0.3.0

• Changed scipy>=1.11.1 to scipy>=1.10.1 as a depedency of the library.
• New modularization of the functions in the linear_model module.
• Added linear_model.stepwise.forward_selection() function to perform forward variable selection based in p-values.
• Added testing.nested_models_test() function to perform nested models testing.
• Added option to specity aditional parameters of the model like kwargs in linear_model.stepwise.forward_selection() and linear_model.stepwise.both_selection() functions.
• Minor changes in the README.

Functions

• linear_model.LogisticRegression(): This class implements a logistic regression model. It inherits from the LogisticRegression() class from scikit-learn, but adds additional methods for calculating confidence intervals, p-values, and model summaries like Logit class in statsmodels.
• linear_model.stepwise.both_selection(): This function performs both forward and backward variable selection using the Akaike Information Criterion (AIC).
• linear_model.stepwise.forward_selection(): This function performs forward variable selection based on p-values.
• 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.
• 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.nested_models_test(): Performs a nested models test to compare two nested models using deviance criterion.

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].