README.md

In andy1764/SiMMR: Similarity-Based Multimodal Regression

Similarity-based multimodal regression (SiMMR)

Maintainer: Andrew Chen, [e-mail]

License: Artistic License 2.0

SiMMR is a distance-based approach for analysis of multiple data modalities. Several test statistics are proposed, which are all implemented in the simmr function. Further details are available in our preprint (see Citations).

1. Installation

The R package can be installed via devtools by running the following code

# install.packages("devtools")
devtools::install_github("andy1764/SiMMR", build_vignettes = TRUE)

2. Usage

SiMMR can be run by first computing distance matrices for each modality, then inputting as a list of distance matrices to simmr. Below is an example call using simulated data:

D <- list(dist(rnorm(10)), dist(rnorm(10)), dist(rnorm(10)))
X <- list("var" = runif(10))
simmr(D, X, "var")

3. Citations

Please cite the following article:

Chen, A. A., Weinstein, S. M., Adebimpe, A., Gur, R. C., Gur, R. E., Merikangas, K. R., Satterthwaite, T. D., Shinohara, R. T., & Shou, H. (2023). Similarity-based multimodal regression. Biostatistics, kxad033. https://doi.org/10.1093/biostatistics/kxad033

andy1764/SiMMR documentation built on Jan. 29, 2024, 1:28 a.m.