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:
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')) |
- 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.
Last updated 6 years agofrom:7d80269a4a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
Exports:plotComponentMatrixplotfield.normalizedplotTdProbabilitiesplotTDvaluesprogressionprogression.cigtsprogression.plr.nouri.2012progression.schell2014progression.vfi
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
General plotting function for multiple 24-2 or 30-2 visual field measurements together: | plotComponentMatrix |
Single plotting function for one 24-2 or 30-2 visual field measurement: | plotfield.normalized |
Value plotting function for 24-2 or 30-2 visual field measurement: | plotTdProbabilities |
Value plotting function for 24-2 or 30-2 visual field measurement: | plotTDvalues |
general progression function | progression |
CIGTS VF progression | progression.cigts |
Nouri-Mahdavi 2012 VF progression | progression.plr.nouri.2012 |
Schell 2014 VF progression | progression.schell2014 |
progression according to VFI (significant slope, p<=0.05) | progression.vfi |
Combined Visual Field Series for General Progression Method | 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 |