MARINeR: Multivariate analysis and resampling inference for neuroimaging in R.

[Remi-Gau]

Added as an issue for book keeping

Source: https://github.com/CAMH-SCWG/to-brainhack-2018/wiki

Team Members: Jenny Rieck, Derek Beaton, [Perhaps you?!]

Description: Our goal with MARINeR is to have a comprehensive neuroimaging multivariate analysis package in R. Currently we have started development of some of the core parts of the package: imaging file I/O, analysis engine (generalized singular value decomposition), specific analyses (e.g., PCA), and some minimal aspects of preprocessing (e.g., detrending). For BrainHack Global TO 2018 we have the following goals:

1. Finish file I/O

2. A completed version of principal components analysis

3. A completed version of two types of partial least squares (mean-centered/discriminant, and standard).

All code is in R or dependent on R packages that interface with other languages (e.g., Rcpp, reticulate). Package development and progress can be seen here: https://github.com/derekbeaton/MARINeR

If you're interested in helping or learning more about R, neuroimaging, and multivariate analyses just find us at BrainHack or let us know on the following brainhack Slack channels: #brainhack-toronto, #bhg-rstats, #mariner