code-Gompertz-Mixture-Approach-for-modeling-COVID-19-dynamic-in-Mexico

Library: It contains all Python modules that we used for all calculations

opt_baseline

Estimate Gompertz-Mixture model

opt_baseline_trun

Estimate Gompertz-Mixture model treating with a right truncation

initial_conditions

Get initial conditions for baseline model, in addition, estimate accelerated model parameters, get Gompertz classic growth model parameters and obtain the carrying capacity of each process with Levenberg-Marquardt

samples

This module contains the functions that implement general sampling algorithm and kde sampling algorithm

Images

This folder contains all the generated plots

Data

It contains all data that we can put in a public repository. In one folder, you can find the R script: tail_Gompertz.R. This script adjust Peaks-over threshold method in order to estimate Gompertz tail and complete data of a required process.

GMM.ipynb

This is a Jupyter notebook with a summarized explanation of workflow and use of above scripts.