mimosa

The mimosa package trains and makes predictions from the MIMoSA method. Access to the full papers can be found here and here. Additionally, it allows for implementation of some common segmentation metrics such as true positive rate, false positive rate, false negative rate, false positive count, and sensitivity based on lesion count.

Installation

To install the package from Neuroconductor, type:

source("https://neuroconductor.org/neurocLite.R")
neuro_install("mimosa")

To get the latest development version from GitHub:

devtools::install_github('avalcarcel9/mimosa')

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Package Documentation

Check out our pkgdown site here.

Full functions and documentation references are available here.

Vignette

For a full implementation of the methods with output please see our vignette.