case_predictors

A data set of numbers of cases of Dengue in each state of Brazil
in 2013 and three state-level variables used in a predictive model.

datasets

Ports the Ripser <doi:10.48550/arXiv.1908.02518>
and Cubical Ripser <doi:10.48550/arXiv.2005.12692>
persistent homology calculation engines from C++.
Can be used as a rapid calculation tool in topological data analysis
pipelines.

Jason Cory Brunson

ripserr

Calculate Persistent Homology with Ripser-Based Engines

Raoul Wadhwa

Matt Piekenbrock

Jacob Scott

Emily Noble

Takeki Sudo

Kazushi Ahara

Ulrich Bauer

Xinyi Zhang

case_predictors function

A data frame of 27 observations and 4 variables:<dl>
<dt>POP</dt>
<dd>state population in 2013</dd><dt>TEMP</dt>
<dd>average temperature across state municipalities</dd><dt>PRECIP</dt>
<dd>average precipitation across state municipalities</dd><dt>CASE</dt>
<dd>number of state Dengue cases in 2013</dd>
</dl>

Format

State-level predictors of mosquito-borne illness in Brazil — case_predictors

A data frame of 27 observations and 4 variables:<dl>
<dt>POP</dt>
<dd>state population in 2013</dd>

<dt>TEMP</dt>
<dd>average temperature across state municipalities</dd>

<dt>PRECIP</dt>
<dd>average precipitation across state municipalities</dd>

<dt>CASE</dt>
<dd>number of state Dengue cases in 2013</dd>


</dl>

State-level predictors of mosquito-borne illness in Brazil

case_predictors: State-level predictors of mosquito-borne illness in Brazil

Description

Usage

Arguments

Format