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Showing content from https://github.com/gloewing/fastFMM below:

gloewing/fastFMM: fastFMM: Fast Functional Mixed Models using Fast Univariate Inference

Repository for the development version of the R Package fastFMM. For more information, see the official fastFMM $\texttt{CRAN}$ site.

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")

• For usage and a tutorial on package functions, please refer to fastFMM's Vignette.
• For more extensive examples, see the Photometry Analysis Guide

1. The 'R' folder contains the code of the package, including fui.R and plot_fui.R. The plot_fui.R is still under development and has not been widely tested.

2. The 'vignettes' folder contains a vignette which shows how to use different arguments of the fui function. This vignette can also be viewed in the link above (under Package Usage).

The example data set is available in the 'vignettes' folder under the name 'time_series.csv'.

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.

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