The cpmr package is specifically designed for the analysis of the connectome predictive modeling (CPM) method in R. This package relies on Rfast to do row oriented calculation.
You can install the development version of cpmr from GitHub with:
# install.packages("devtools")
devtools::install_github("psychelzh/cpmr")Or you can install cpmr from r-universe with:
install.packages("cpmr", repos = c(getOption("repos"), "https://psychelzh.r-universe.dev"))It is very simple to use this package. Just shape your connectivity
matrix as a subjects by edges matrix, i.e., each row contains the
correlation matrix (removed diagonal and duplicated values, e.g., lower
triangular data) for each subject, and your behavior data a vector and
feed them in cpm() function.
library(cpmr)
withr::local_seed(123)
conmat <- matrix(rnorm(100 * 1000), nrow = 100)
behav <- rnorm(100)
res <- cpm(conmat, behav, kfolds = 10)
plot(res$real, res$pred[, "both"], xlab = "Real", ylab = "Predicted")