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SPARSEMODr  

SPAtial Resolution-SEnsitive Models of Outbreak Dynamics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SPARSEMODr", "1.2.0")



Attach the package and use:
library("SPARSEMODr")
Maintained by
Joseph Mihaljevic
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-17
Latest Update: 2025-09-01
Description:
Implementation of spatially-explicit, stochastic disease models with customizable time windows that describe how parameter values fluctuate during outbreaks (e.g., in response to public health or conservation interventions).
How to cite:
Joseph Mihaljevic (2020). SPARSEMODr: SPAtial Resolution-SEnsitive Models of Outbreak Dynamics. R package version 1.2.0, https://cran.r-project.org/web/packages/SPARSEMODr. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 1.0.1 (2021-01-22 00:30), 1.0 (2020-12-17 10:40), 1.1.0 (2021-07-01 19:50), 1.2.0 (2022-07-19 22:50)
Other packages that cited SPARSEMODr R package
View SPARSEMODr citation profile
Other R packages that SPARSEMODr depends, imports, suggests or enhances
Complete documentation for SPARSEMODr
Functions, R codes and Examples using the SPARSEMODr R package
Some associated functions: Movement . SPARSEMOD-package . covid19_control . model_interface . model_parallel . seir_control . time_windows . 
Some associated R codes: RcppExports.R . control.R . model_interface.R . model_parallel.R . time_windows.R .  Full SPARSEMODr package functions and examples
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