Package: covid19.analytics Type: Package Title: Load and Analyze Live Data from the COVID-19 Pandemic Version: 2.1.3 Date: 2022-08-18 Author: Marcelo Ponce [aut, cre], Amit Sandhel [ctb] Maintainer: Marcelo Ponce Description: Load and analyze updated time series worldwide data of reported cases for the Novel Coronavirus Disease (COVID-19) from different sources, including the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) data repository , "Our World in Data" among several others. The datasets reporting the COVID-19 cases are available in two main modalities, as a time series sequences and aggregated data for the last day with greater spatial resolution. Several analysis, visualization and modelling functions are available in the package that will allow the user to compute and visualize total number of cases, total number of changes and growth rate globally or for an specific geographical location, while at the same time generating models using these trends; generate interactive visualizations and generate Susceptible-Infected-Recovered (SIR) model for the disease spread. Imports: readxl, ape, rentrez, plotly, htmlwidgets, deSolve, gplots, pheatmap, shiny, shinydashboard, shinycssloaders, DT, dplyr, collapsibleTree Suggests: knitr, devtools, roxygen2, markdown, rmarkdown, testthat License: GPL (>=2) URL: https://mponce0.github.io/covid19.analytics/ BugReports: https://github.com/mponce0/covid19.analytics/issues RoxygenNote: 7.1.0 VignetteBuilder: knitr Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libxml2-dev libssl-dev zlib1g-dev Repository: https://mponce0.r-universe.dev Date/Publication: 2022-08-18 07:49:22 UTC RemoteUrl: https://github.com/mponce0/covid19.analytics RemoteRef: HEAD RemoteSha: ef3236c77073d103c1177053eee028560362bd31 NeedsCompilation: no Packaged: 2026-10-04 14:40:51 UTC; root