This repository primarily contains supplementary material for Johnson, et al (2016) "Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: a dengue case study".
The directory structure is explained as follows. In each case, see the README therein for more details.
-
code: source files for hetGP and GLM comparators in the R language for statistical computing. -
data: pre-processed data files from the Dengue Forecasting Project -
results: pdf-based visualizations for GP and GLM-based figures, a subset of which are provided in the manuscript.
- The project was originated and is actively maintained by Leah R. Johnson: lrjohn@vt.edu
- Contributers include Leah R. Johnson, Robert B. Gramacy, Jeremy Cohen, Erin Mordecai, Courtney Murdock, Jason Rohr, Sadie J. Ryan, Anna M. Stewart-Ibarra, and Daniel Weikel