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. R
package version 0.0.2. https://github.com/avalcarcel9/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 = {R package version 0.0.2},
url = {https://github.com/avalcarcel9/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 the Binary Repo in NeuroC
neuro_install('rtapas', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('rtapas', release = "current", release_repo = binary_release_repo(release = "current"))

# 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 March 29 2019 3:11PM
Last updated on April 22 2019 12:02AM
Package type standard
Source GitHub https://github.com/avalcarcel9/rtapas GitHub
Neuroconductor GitHub https://github.com/neuroconductor/rtapas GitHub
DependsR (2.10)
ImportsaliviateR (0.0.2), doParallel (1.0.14), dplyr (0.7.5.9000), foreach (1.4.4), gtools (3.8.1), magrittr (1.5.0), methods, mgcv(>=1.8
Suggestscovr, knitr, remotes, bookdown, rmarkdown, testthat