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Acknowledgements.Rmd
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Acknowledgements.Rmd
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---
title: "Acknowledgements"
author:
- name: Michael Weylandt
affiliation: Department of Statistics, Rice University
email: michael.weylandt@rice.edu
- name: John Nagorski
affiliation: Department of Statistics, Rice University
- name: Genevera I. Allen
affiliation: |
| Departments of Statistics, Computer Science, and Electical and Computer Engineering, Rice University
| Jan and Dan Duncan Neurological Research Institute, Baylor College of Medicine
email: gallen@rice.edu
date: "Last Updated: August 19th, 2020"
output:
html_document:
toc: true
toc_float:
collapsed: false
bibliography: vignettes.bib
vignette: >
%\VignetteIndexEntry{Acknowledgements}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
The computational core of `clustRviz` is written in standard modern `C++` [@CppStandard:11],
using the `Eigen3` library for numerical linear algebra [@Eigen3] and the `Rcpp` [@Eddelbuettel:2011]
and `RcppEigen` [@Bates:2013] libraries to interface with `R` [@R].
The graphical components of `clustRviz` depend on several publicly available `R` packages, including:
- the `dendextend` package [@Galili:2015] which is used for dendrogram construction and manipulation;
- the `ggplot2` [@Wickham:2016] and `gganimate` [@Pedersen:2019] packages which are used for path visualizations;
- the `plotly` [@Sievert:2020] package which is used for interactive dendrograms and path plots; and
- the `heatmaply` [@Galili:2018] package which is used for export of interactive cluster heatmaps based on `CARP` and `CBASS` results
We are grateful to the authors of each of these packages for making their software freely available.
## References