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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>.
| Version: | 0.7.1 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, grDevices, graphics |
| Published: | 2019-05-24 |
| Author: | Tobias Elze, Dian Li (documentation), Eun Young Choi (QC) |
| Maintainer: | Dian Li <lidian at zju.edu.cn> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | vfprogression results |
| Reference manual: | vfprogression.pdf |
| Package source: | vfprogression_0.7.1.tar.gz |
| Windows binaries: | r-devel: vfprogression_0.7.1.zip, r-release: vfprogression_0.7.1.zip, r-oldrel: vfprogression_0.7.1.zip |
| macOS binaries: | r-release (arm64): vfprogression_0.7.1.tgz, r-oldrel (arm64): vfprogression_0.7.1.tgz, r-release (x86_64): vfprogression_0.7.1.tgz, r-oldrel (x86_64): vfprogression_0.7.1.tgz |
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