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: 1.1.0
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: 2021-07-01
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
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_1.1.0.tar.gz
Windows binaries: r-devel: SPARSEMODr_1.1.0.zip, r-devel-UCRT: SPARSEMODr_1.1.0.zip, r-release: SPARSEMODr_1.1.0.zip, r-oldrel: SPARSEMODr_1.1.0.zip
macOS binaries: r-release (arm64): SPARSEMODr_1.1.0.tgz, r-release (x86_64): SPARSEMODr_1.1.0.tgz, r-oldrel: SPARSEMODr_1.1.0.tgz
Old sources: SPARSEMODr archive

Linking:

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