Package: measles 0.3.2-0

George Vega Yon

measles: Measles Epidemiological Models

A specialized collection of measles epidemiological models built on the 'epiworldR' framework. This package is a spinoff from 'epiworldR' focusing specifically on measles transmission dynamics. It includes models for school settings with quarantine and isolation policies, mixing models with population groups, and risk-based quarantine strategies. The models use Agent-Based Models (ABM) with a fast 'C++' backend from the 'epiworld' library. Ideal for studying measles outbreaks, vaccination strategies, and intervention policies.

Authors:George Vega Yon [aut, cre], Damon Toth [ctb], Jake Wagoner [ctb], Olivia Banks [ctb], Centers for Disease Control and Prevention [fnd]

measles_0.3.2-0.tar.gz
measles_0.3.2-0.zip(r-4.7)measles_0.3.2-0.zip(r-4.6)measles_0.3.2-0.zip(r-4.5)
measles_0.3.2-0.tgz(r-4.6-x86_64)measles_0.3.2-0.tgz(r-4.6-arm64)measles_0.3.2-0.tgz(r-4.5-x86_64)measles_0.3.2-0.tgz(r-4.5-arm64)
measles_0.3.2-0.tar.gz(r-4.7-arm64)measles_0.3.2-0.tar.gz(r-4.7-x86_64)measles_0.3.2-0.tar.gz(r-4.6-arm64)measles_0.3.2-0.tar.gz(r-4.6-x86_64)
measles_0.3.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
measles/json (API)

# Install 'measles' in R:
install.packages('measles', repos = c('https://uofuepibio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uofuepibio/measles/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

abmagent-based-modelingepidemiologyindividual-based-modellingmeaslesmeasles-mumps-rubella-vacciner-programmingsimulationquartocpp

6.62 score 4 stars 13 scripts 365 downloads 8 exports 2 dependencies

Last updated from:0c27228aa6. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK183
linux-devel-x86_64OK169
source / vignettesOK338
linux-release-arm64OK178
linux-release-x86_64OK179
macos-release-arm64OK227
macos-release-x86_64OK386
macos-oldrel-arm64OK191
macos-oldrel-x86_64OK289
windows-develOK182
windows-releaseOK180
windows-oldrelOK191
wasm-releaseOK208

Exports:calibrate_mixing_modelInterventionMeaslesPEPmake_cmat_symmetricmeasles_cpp_versionModelMeaslesMixingModelMeaslesMixingRiskQuarantineModelMeaslesQuarantineModelMeaslesSchool

Dependencies:cpp11epiworldR

Mixing model in Short Creek
Set up | Creating the model | Outbreak size | Hospitalizations | Scenario without Quarantine | Final comments

Last update: 2026-07-17
Started: 2025-12-18

School-based transmission model
Building the model | Running the model | Adding post-exposure prophylaxis (PEP)

Last update: 2026-04-21
Started: 2026-04-06

Readme and manuals

Help Manual

Help pageTopics
Calibrate a mixing model to a target reproduction numbercalibrate_mixing_model
Create a measles post-exposure prophylaxis (PEP) interventionInterventionMeaslesPEP
Symmetrise a contact matrix based on population sizesmake_cmat_symmetric
Measles model with mixingepiworld_measlesmixing ModelMeaslesMixing
Measles model with mixing and risk-based quarantineepiworld_measlesmixingriskquarantine ModelMeaslesMixingRiskQuarantine
Measles model with quarantineepiworld_measlesschool ModelMeaslesQuarantine ModelMeaslesSchool
Short Creek Population Data by Age Groupshort_creek
Short Creek Mixing Matrixshort_creek_matrix