Package rtapas details

  Package Description
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 >

Documentation

 
  Citation
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/},
}

 
  Issues

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
  Versions
 
  Installation
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.

 
  Details

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
DependsR (2.10)
ImportsdoParallel (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)
SuggestsaliviateR (0.0.2), covr, knitr, remotes, rmarkdown, spelling, testthat