Package papayar details

View Medical Research Images using the Papaya JavaScript Library

Users pass images and objects of class 'nifti' from the 'oro.nifti' package to a Papaya, an interactive lightweight JavaScript viewer. Although many packages can view individual slices or projections of image and matrix data, this package allows for quick and easy interactive browsing of images. The viewer is based off of the Mango software, which is a lightweight medical image viewer.

Maintainer: John Muschelli < muschellij2 at >

From within R, enter citation(papayar)

To cite package 'papayar' in publications use:

John Muschelli (2016). papayar: View Medical Research Images using
the Papaya JavaScript Library. R package version 1.0.

A BibTeX entry for LaTeX users is

title = {papayar: View Medical Research Images using the Papaya JavaScript Library},
author = {John Muschelli},
year = {2016},
note = {R package version 1.0},
url = {},


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:


# use release_versions() to find previous releases
neuro_install('papayar', release_repo= '')

# Default Install

# From the Binary Repo in NeuroC
neuro_install('papayar', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('papayar', release = "current", release_repo = binary_release_repo(release = "current"))

# from GitHub
neuro_install('papayar', release = "stable", release_repo = "github")
neuro_install('papayar', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on October 1 2018 4:20PM
Last updated on October 1 2018 4:20PM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
Importsneurobase, oro.nifti, servr, htmltools, utils