Getting started

Welcome to the getting started guide to GRIDLib!

GRIDLib is an open source Python library that is built to be able to perform Genuine Rate IDentification (GRID) analysis in Python. It provides routines for loading in data, performing the actual fitting procedure, plotting the data and much more. Here, you can find all the information to get started with GRIDLib. Before reading the guide, make sure you have installed GRIDLib, as described in the installation guide.

• Introduction
  • Glossary
• Data format
  • Survival time distributions
  • Fit and resampling results
• Parameters
  • GRID
  • Multi-exponential
  • Both
• Fitting
  • Full example
• Resampling
• Examples