| Name : R-covid19.analytics
| |
| Version : 2.1.3.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.5.1
| Date : 2024-07-31 13:12:29
|
| Group : Development/Libraries/Other
| Source RPM : R-covid19.analytics-2.1.3.3-lp153.5.1.src.rpm
|
| Size : 4.68 MB
| |
| Packager : (none)
| |
| Summary : Load and Analyze Live Data from the COVID-19 Pandemic
|
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
< https://github.com/CSSEGISandData/COVID-19>, \"Our World in Data\"
< https://github.com/owid/> 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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
