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SPARSEMODr: SPAtial Resolution-SEnsitive Models of Outbreak Dynamics

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).

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.4), future.apply, data.table, future, tidyverse, lubridate, viridis, geosphere
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
Published: 2022-07-19
DOI: 10.32614/CRAN.package.SPARSEMODr
Author: Joseph Mihaljevic [aut, cre] (C code, package development), Toby Hocking [ctb] (R package interface), Seth Borkovec [ctb] (package development), Saikanth Ratnavale [ctb] (package development)
Maintainer: Joseph Mihaljevic <Joseph.Mihaljevic at nau.edu>
BugReports: https://github.com/NAU-CCL/SPARSEMODr/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/NAU-CCL/SPARSEMODr
NeedsCompilation: yes
SystemRequirements: GNU GSL (>= 2.7)
Citation: SPARSEMODr citation info
Materials: README NEWS
CRAN checks: SPARSEMODr results

Documentation:

Reference manual: SPARSEMODr.pdf
Vignettes: SPARSE-MOD COVID-19 Model: Time-varying hospitalization
SPARSE-MOD COVID-19 Model
SPARSE-MOD Key Features
SPARSE-MOD SEIR Model

Downloads:

Package source: SPARSEMODr_1.2.0.tar.gz
Windows binaries: r-devel: SPARSEMODr_1.2.0.zip, r-release: SPARSEMODr_1.2.0.zip, r-oldrel: SPARSEMODr_1.2.0.zip
macOS binaries: r-release (arm64): SPARSEMODr_1.2.0.tgz, r-oldrel (arm64): SPARSEMODr_1.2.0.tgz, r-release (x86_64): SPARSEMODr_1.2.0.tgz, r-oldrel (x86_64): SPARSEMODr_1.2.0.tgz
Old sources: SPARSEMODr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SPARSEMODr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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