beggining transition to ver 2.1

DESCRIPTION

@@ -1,11 +1,11 @@
 Package: covid19.analytics
 Type: Package
 Title: Load and Analyze Live Data from the CoViD-19 Pandemic
-Version: 2.0
-Date: 2020-09-22
+Version: 2.1
+Date: 2021-02-01
 Author: Marcelo Ponce [aut, cre], Amit Sandhel [ctb]
 Maintainer: Marcelo Ponce <[email protected]>
-Description: Load and analyze updated time series worldwide data of reported cases for the Novel CoronaVirus Disease (CoViD-19) from the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) data repository <https://github.com/CSSEGISandData/COVID-19>. The datasets are available in two main modalities, as a time series sequences and aggregated 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.
+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 CoViD19 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,

NAMESPACE

@@ -32,13 +32,15 @@ export(mtrends)
 export(nullify.data)
 export(plt.SIR.model)
 export(preProcessingData)
+export(report.Tor)
 export(report.summary)
 export(rollingRate)
 export(single.trend)
 export(sweep.SIR.models)
 export(totals.plt)
 export(tots.per.location)
 importFrom(DT,dataTableOutput)
+importFrom(DT,datatable)
 importFrom(DT,renderDataTable)
 importFrom(ape,read.FASTA)
 importFrom(ape,read.GenBank)
@@ -52,6 +54,7 @@ importFrom(dplyr,first)
 importFrom(dplyr,mutate)
 importFrom(gplots,bluered)
 importFrom(gplots,heatmap.2)
+importFrom(grDevices,dev.new)
 importFrom(grDevices,heat.colors)
 importFrom(grDevices,rainbow)
 importFrom(grDevices,rgb)

NEWS

@@ -1,4 +1,9 @@
-Oct 2020: Adding more data sources _ ver 2.01
+Jan 2021: More data sources added _ ver 2.1
+		- Vaccination data, from OWID
+		- pandemics data, from Visual Capitalist infographics
+		- report.Tor fn, to report overview analysis of Toronto data
+
+Oct 2020: Adding more data sources _ ver 2.01 (unreleased)
 		- New covid19.Toronto_OD.data fn, to obtain data from Open Data Toronto
 		- New covid19.Canada.data fn, to obtain data from Health Canada