Implements Connectome-based Predictive Modeling (CPM; Shen, Finn, Scheinost, Rosenberg, Chun, Papademetris, & Constable, 2017 <doi:10.1038/nprot.2016.178>) for cross-sectional and time series neuroimaging data in R. Methods include distance correlation (Yoo, Rosenberg, Noble, Scheinost, Constable, & Chun, 2019 <doi:10.1016/j.neuroimage.2019.04.060>), import tools for CONN connectivity matrices, and a suite of CPM functions.
Package details |
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| Maintainer | Alexander Christensen <alexpaulchristensen@gmail.com> |
| License | GPL (>= 3.0) |
| Version | 0.0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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