Our our research agendas involve improving the tools we use to study disease transmission and biosecurity. Below, you’ll find software for working with infectious diseases, machine learning and on-farm swine biosecurity.

The RABapp (Rapid Acess Biosecurity) provides rapid access to up-to-date, standardized on-farm biosecurity plans and animal movement data in a timely manner to enable business continuity within the swine industry, also:

  • Expand SPS plan adoption throughout the swine industry and train stakeholders to use the app to help them refine and manage their site-specific plans
  • Train stakeholders in how to use the app to prepare for large-scale disease emergencies

mrIML

GitHub R package version R-CMD-check GitHub last commit

We are developing the mrIML R package for generating postestimation interpret multivariate machine learning models. The package contains functions for multi-response stacking algorithms and harnessing the tidyverse (tidy model syntax in particular).

Installation

Install the stable version of the package:

#install.packages("devtools") 
devtools::install_github('nfj1380/mrIML')

Quick start

mrIML is designed to be used with a single function call or to be used in an ad-hoc fashion via individual function calls. In the following section we give an overview of the simple use case. For more on using each function see the function documentation. The core functions for both regression and classification are: mrIMLpredicts, mrIMLperformance, and mrInteractions,for plotting and visualization mrVip, mrFlashlight, andplot_vi. Estimating the interactions alone can be substantially computationally demanding depending on the number of outcomes you want to test. The first step to using the package is to load it as follows.