https://github.com/weinbergerlab/pspline.inference

Stochastic modeling of non-linear characteristics of infectious disease outbreaks
https://github.com/weinbergerlab/pspline.inference

infectious-diseases modeling r

Last synced: about 1 month ago
JSON representation

Stochastic modeling of non-linear characteristics of infectious disease outbreaks

• Host: GitHub
• URL: https://github.com/weinbergerlab/pspline.inference
• Owner: weinbergerlab
• License: other
• Created: 2017-12-27T07:40:00.000Z (about 7 years ago)
• Default Branch: main
• Last Pushed: 2021-01-19T13:33:25.000Z (almost 4 years ago)
• Last Synced: 2024-10-15T21:41:01.041Z (3 months ago)
• Topics: infectious-diseases, modeling, r
• Language: HTML
• Homepage:
• Size: 4.76 MB
• Stars: 0
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        
## Summary

This R package lets you make estimates (with confidence intervals) using a generalized additive model (GAM) with penalized basis splines (P-splines). It was initiall developed for infectious disease outbreak research, but it applies to other domains as well.

This package can handle two types of estimates:

 * Scalar estimates, in which a single numerical outcome is calculated from the system (for example, the time when an infectious disease outbreak reaches its peak)

 * Time series estimates, in which a time series of outcomes is calculated from the system (for example, the cumulative incidence during an outbreak).

 

## Installation

 

```

install.packages('pspline.inference')

library(pspline.inference)

```

## How to use

See package documentation in R — `?pspline.inference` — for more information, as well as the package vignette — `vignette('seasonal', package="pspline.inference")`.

 

## Revision history

* v0.24: Documentation improvements

* v0.23: Initial CRAN release