Getting Started

Welcome! This page will help you get up and running with the library. Whether you’re an experienced user or just starting out, follow the steps below to install and begin using the core features.

Installation

Follow the instructions below depending on your environment.

Python

pip install your-library-name

R

install.packages("yourLibraryName")

Julia

using Pkg
Pkg.add("YourLibraryName")

You can also clone the GitHub repository if you’re installing a development version.

Basic Usage

Here’s a minimal example to get started:

import your_library_name as lib

result = lib.run_model(data="path/to/data.csv")
print(result.summary())

Requirements

Make sure your system meets the following requirements:

  • Python 3.8+ or R 4.1+ or Julia 1.8+
  • Required packages: numpy, pandas, matplotlib, etc.
  • (Optional) Jupyter Notebook support

4. Where to Go Next

If you encounter any issues, please consult the documentation or open an issue on GitHub.