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vfprogression (version 0.7.1)

Visual Field (VF) Progression Analysis and Plotting Methods

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) , Nouri-Mahdavi et at. (2012) , Schell et at. (2014) , Aptel et al. (2015) .

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Install

install.packages('vfprogression')

Monthly Downloads

141

Version

0.7.1

License

GPL (>= 2)

Maintainer

Dian Li

Last Published

May 24th, 2019

Functions in vfprogression (0.7.1)

progression.cigts

CIGTS VF progression
progression.plr.nouri.2012

Nouri-Mahdavi 2012 VF progression
progression.schell2014

Schell 2014 VF progression
vf.plr.nouri.2012

Combined Visual Field Series for General Progression Method
vf.schell2014

Combined Visual Field Series for General Progression Method
plotComponentMatrix

General plotting function for multiple 24-2 or 30-2 visual field measurements together:
plotTDvalues

Value plotting function for 24-2 or 30-2 visual field measurement:
progression.vfi

progression according to VFI (significant slope, p<=0.05)
vf.cigts

Combined Visual Field Series for General Progression Method
plotTdProbabilities

Value plotting function for 24-2 or 30-2 visual field measurement:
plotfield.normalized

Single plotting function for one 24-2 or 30-2 visual field measurement:
vf.vfi

Combined Visual Field Series for General Progression Method
vfseries

Combined Visual Field Series for General Progression Method
progression

general progression function