A C++-based implementation of the SUbspace Factor Analysis (SUFA) model by Chandra, Dunson, and Xu (2023).

The package has been tried and tested in Ubuntu and macOS.

• openmp

• R (>= 4.3.1)

You can install the development version of SUFA from GitHub with:

install.packages("devtools")
devtools::install_github("noirritchandra/SUFA", build_vignettes = TRUE)

Setting build_vignettes = F leads to considerably faster installation but without any vignette. To install the vignette files containing illustrations, one must set build_vignettes = TRUE. However, this may take considerably more time to install the package.

Refer to the following vignette for illustrations in simulated examples:

vignette(topic="Intro_simulation",package = "SUFA")

Refer to the following vignette in gene expressions datasets for inference on gene networks:

vignette(topic="Genedata_application",package = "SUFA")