README.Rmd

---
title: "Nonparametric serial interval estimation"
output: github_document
author: Oswaldo Gressani
---


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

### Reproducibility instructions

This repository contains all the routines required to reproduce the results in the preprint entitled “Nonparametric serial interval estimation” by Oswaldo Gressani and Niel Hens available on MedRxiv [https://doi.org/10.1101/2024.10.16.24315600](https://doi.org/10.1101/2024.10.16.24315600). 

This repository is organized in two main folders (**01-Simulations** and **02-RealData**). 

- **01-Simulations** can be used to recover the results from the simulation study.

- **02-RealData** can be used to recover results related to real data applications.

Readers and users are encouraged to reproduce the results contained in this folder. 
EpiLPS (v1.4.0) will be needed and can be installed from the GitHub repository
[https://github.com/oswaldogressani/EpiLPS](https://github.com/oswaldogressani/EpiLPS).

### Website
[https://epilps.com/](https://epilps.com/)

### Repository version
This is version 0.0.1 (2024-10-14) - “SILPS-V1”.

### License
Copyright © Oswaldo Gressani. All rights reserved.

### Funding statement
This project was supported by the VERDI project (101045989) and the ESCAPE project (101095619),
funded by the European Union. Views and opinions expressed are however those of the author(s)
only and do not necessarily reflect those of the European Union or European Health and Digital
Executive Agency (HADEA). Neither the European Union nor the granting authority can be
held responsible for them. This research project is also supported by BE-PIN
(contract nr. TD/231/BE-PIN) funded by BELSPO (Belgian Science Policy Office) as
part of the POST-COVID programme.