fastFMM: Fast Functional Mixed Models using Fast Univariate Inference (FUI)
Repository Description
Repository for the development version of the R Package fastFMM. For more information, see the official fastFMM $\texttt{CRAN}$ site.
fastFMM R Package
Installation
Download the $\texttt{R}$ Package fastFMM by running the following command within $\texttt{R}$ or $\texttt{RStudio}$:
install.packages("fastFMM", dependencies = TRUE)Alternatively, the development version of the $\texttt{R}$ Package fastFMM can be downloaded as follows:
library(devtools)
install_github("gloewing/fastFMM")Package Usage
- For usage and a tutorial on package functions, please refer to fastFMM's Vignette.
- For more extensive examples, see the Photometry Analysis Guide
Repository Folders
The 'R' folder contains the code of the package, including
fui.Randplot_fui.R. Theplot_fui.Ris still under development and has not been widely tested.The 'vignettes' folder contains a vignette which shows how to use different arguments of the
fuifunction. This vignette can also be viewed in the link above (under Package Usage).
Dataset Links
The example data set is available in the 'vignettes' folder under the name 'time_series.csv'.
Calling fastFMM from Python
See the README on the associated Github page photometry_FLMM
for instructions on using fastFMM in Python through the Python packages rpy2 and fast_fmm_rpy2.