Package rtapas details
TAPAS: A thresholding approach for probability map automatic segmentation automatic segmentation
Trains and makes predictions using the TAPAS method.
Maintainer: Alessandra Valcarcel < alval at pennmedicine.upenn.edu >
From within R, enter citation('rtapas')
To cite package 'rtapas' in publications use:
Alessandra Valcarcel (NA). rtapas: TAPAS: A thresholding approach for
probability map automatic segmentation automatic segmentation.
https://github.com/avalcarcel9/rtapas,
https://avalcarcel9.github.io/rtapas/.
A BibTeX entry for LaTeX users is
@Manual{,
title = {rtapas: TAPAS: A thresholding approach for probability map automatic segmentation
automatic segmentation},
author = {Alessandra Valcarcel},
note = {https://github.com/avalcarcel9/rtapas, https://avalcarcel9.github.io/rtapas/},
}
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
source("https://neuroconductor.org/neurocLite.R")
# Default Install
neuro_install('rtapas')
# from GitHub
neuro_install('rtapas', release = "stable", release_repo = "github")
neuro_install('rtapas', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | May 23 2019 2:41PM |
Last updated on | March 27 2020 10:05AM |
Package type | standard |
Source GitHub | https://github.com/avalcarcel9/rtapas GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/rtapas GitHub |
Depends | R (2.10) |
Imports | doParallel (1.0.14), dplyr (0.7.5.9000), foreach (1.4.4), gtools (3.8.1), ggExtra, ggplot2, magrittr (1.5.0), methods, mgcv(>=1.8-24), neurobase (1.13.2), neuroim (0.0.6), oro.nifti (0.9.1), parallel (3.3.0), rlang (0.3.0.1), stringr (1.3.0), tibble (1.7.0) |
Suggests | aliviateR (0.0.2), covr, knitr, remotes, rmarkdown, spelling, testthat |