Package: vfprogression 0.7.1

Dian Li

vfprogression: Visual Field (VF) Progression Analysis and Plotting Methods

Realization of published methods to analyze visual field (VF) progression. Introduction to the plotting methods (designed by author TE) for VF output visualization. A sample dataset for two eyes, each with 10 follow-ups is included. The VF analysis methods could be found in -- Musch et al. (1999) <doi:10.1016/S0161-6420(99)90147-1>, Nouri-Mahdavi et at. (2012) <doi:10.1167/iovs.11-9021>, Schell et at. (2014) <doi:10.1016/j.ophtha.2014.02.021>, Aptel et al. (2015) <doi:10.1111/aos.12788>.

Authors:Tobias Elze, Dian Li, Eun Young Choi

vfprogression_0.7.1.tar.gz
vfprogression_0.7.1.tar.gz(r-4.7-any)vfprogression_0.7.1.tar.gz(r-4.6-any)
vfprogression_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
vfprogression/json (API)

# Install 'vfprogression' in R:
install.packages('vfprogression', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • vf.cigts - Combined Visual Field Series for General Progression Method
  • vf.plr.nouri.2012 - Combined Visual Field Series for General Progression Method
  • vf.schell2014 - Combined Visual Field Series for General Progression Method
  • vf.vfi - Combined Visual Field Series for General Progression Method
  • vfseries - Combined Visual Field Series for General Progression Method

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 129 downloads 9 exports 0 dependencies

Last updated from:7d80269a4a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK101
source / vignettesOK117
linux-release-x86_64OK95
wasm-releaseOK81

Exports:plotComponentMatrixplotfield.normalizedplotTdProbabilitiesplotTDvaluesprogressionprogression.cigtsprogression.plr.nouri.2012progression.schell2014progression.vfi

Dependencies: