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vfprogression  

Visual Field (VF) Progression Analysis and Plotting Methods
View on CRAN: Click here


Download and install vfprogression package within the R console
Install from CRAN:
install.packages("vfprogression")

Install from Github:
library("remotes")
install_github("cran/vfprogression")

Install by package version:
library("remotes")
install_version("vfprogression", "0.7.1")



Attach the package and use:
library("vfprogression")
Maintained by
Dian Li
[Scholar Profile | Author Map]
First Published: 2019-05-24
Latest Update: 2019-05-24
Description:
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>.
How to cite:
Dian Li (2019). vfprogression: Visual Field (VF) Progression Analysis and Plotting Methods. R package version 0.7.1, https://cran.r-project.org/web/packages/vfprogression. Accessed 03 May. 2025.
Previous versions and publish date:
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Complete documentation for vfprogression
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