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-4.5-noble)vfprogression_0.7.1.tar.gz(r-4.4-noble)
vfprogression_0.7.1.tgz(r-4.4-emscripten)vfprogression_0.7.1.tgz(r-4.3-emscripten)
vfprogression.pdf |vfprogression.html
vfprogression/json (API)

# Install 'vfprogression' in R:
install.packages('vfprogression', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

1.00 score 96 downloads 9 exports 0 dependencies

Last updated 6 years agofrom:7d80269a4a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linuxOKDec 14 2024

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

Dependencies: