Other packages > Find by keyword >

epiflows  

Predicting Disease Spread from Flow Data
View on CRAN: Click here


Download and install epiflows package within the R console
Install from CRAN:
install.packages("epiflows")

Install from Github:
library("remotes")
install_github("cran/epiflows")

Install by package version:
library("remotes")
install_version("epiflows", "0.2.1")



Attach the package and use:
library("epiflows")
Maintained by
Pawel Piatkowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-14
Latest Update: 2023-04-09
Description:
Provides functions and classes designed to handle and visualise epidemiological flows between locations. Also contains a statistical method for predicting disease spread from flow data initially described in Dorigatti et al. (2017) . This package is part of the RECON () toolkit for outbreak analysis.
How to cite:
Pawel Piatkowski (2018). epiflows: Predicting Disease Spread from Flow Data. R package version 0.2.1, https://cran.r-project.org/web/packages/epiflows. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.0 (2018-08-14 14:40)
Other packages that cited epiflows R package
View epiflows citation profile
Other R packages that epiflows depends, imports, suggests or enhances
Complete documentation for epiflows
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA