Maryland

Influenza in Maryland during the 1918 pandemic

datasets

The goal of 'readsdr' is to bridge the design capabilities from
specialised System Dynamics software with the powerful numerical tools
offered by 'R' libraries. The package accomplishes this goal by parsing
'XMILE' files ('Vensim' and 'Stella') models into 'R' objects to construct
networks (graph theory); 'ODE' functions for 'Stan'; and inputs to simulate
via 'deSolve' as described in Duggan (2016) <doi:10.1007/978-3-319-34043-2>.

Jair Andrade

readsdr

Translate Models from System Dynamics Software into 'R'

Maryland function

A data frame with 91 rows and 6 columns:<dl>
 <dt>Date</dt>
<dd>Date</dd> <dt>Baltimore</dt>
<dd>Cases reported in the Baltimore</dd> <dt>Cumberland</dt>
<dd>Cases reported in the Cumberland</dd> <dt>Lonaconing</dt>
<dd>Cases reported in the Lonaconing</dd> <dt>Frederick</dt>
<dd>Cases reported in the Frederick</dd> <dt>Salisbury</dt>
<dd>Cases reported in the Salisbury</dd></dl>

Format

Influenza in Maryland during the 1918 pandemic — Maryland

A data frame with 91 rows and 6 columns:<dl>
 <dt>Date</dt>
<dd>Date</dd>

 <dt>Baltimore</dt>
<dd>Cases reported in the Baltimore</dd>

 <dt>Cumberland</dt>
<dd>Cases reported in the Cumberland</dd>

 <dt>Lonaconing</dt>
<dd>Cases reported in the Lonaconing</dd>

 <dt>Frederick</dt>
<dd>Cases reported in the Frederick</dd>

 <dt>Salisbury</dt>
<dd>Cases reported in the Salisbury</dd>



</dl>

Maryland: Influenza in Maryland during the 1918 pandemic

Description

Usage

Arguments

Format