This repository contains the data and code for our paper:
Li Shandross, Emily Howerton, Lucie Contamin, Harry Hochheiser, Anna Krystalli, Consortium of Infectious Disease Mdodeling Hubs, Nicholas G. Reich, Evan L. Ray (in prep).
hubEnsembles
: Ensembling Methods in R.
Please cite this compendium as:
Li Shandross, Emily Howerton, Lucie Contamin, Harry Hochheiser, Anna Krystalli, Consortium of Infectious Disease Mdodeling Hubs, Nicholas G. Reich, Evan L. Ray (in prep). Compendium of R code and data for
hubEnsembles
: Ensembling Methods in R. Accessed 12 Apr 2024. Online at https://doi.org/xxx/xxx
The analysis directory contains:
hubEnsembles_manuscript.html
, suitable for reading (the code is
replaced by figures and tables in this file)This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.
You can download the compendium as a zip from from this URL: master.zip. After unzipping:
.Rproj
file in RStudiodevtools::install(dependencies = TRUE)
to ensure you have the
packages this analysis depends on (also listed in the
DESCRIPTION file). You might need to install
devtools
first by running install.packages("devtools")
.analysis/paper/hubEnsembles_manuscript.qmd
and knit to
produce the hubEnsembles_manuscript.html
, or run
rmarkdown::render("analysis/paper/hubEnsembles_manuscript.qmd")
in
the R consoleText and figures : CC-BY-4.0
Code : See the DESCRIPTION file
Data : CC-0 attribution requested in reuse