CRAN/E | Dark

Dark

The Analysis of Dark Adaptation Data

Installation

About

The recovery of visual sensitivity in a dark environment is known as dark adaptation. In a clinical or research setting the recovery is typically measured after a dazzling flash of light and can be described by the Mahroo, Lamb and Pugh (MLP) model of dark adaptation. The functions in this package take dark adaptation data and use nonlinear regression to find the parameters of the model that 'best' describe the data. They do this by firstly, generating rapid initial objective estimates of data adaptation parameters, then a multi-start algorithm is used to reduce the possibility of a local minimum. There is also a bootstrap method to calculate parameter confidence intervals. The functions rely upon a 'dark' list or object. This object is created as the first step in the workflow and parts of the object are updated as it is processed.

github.com/emkayoh/Dark
www.nihr.ac.uk
Bug report File report

Key Metrics

Version 0.9.8
Published 2016-06-02 2878 days ago
Needs compilation? no
License GPL-3
CRAN checks Dark results

Downloads

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Maintainer

Maintainer

Jeremiah MF Kelly

emkayoh@mac.com

Authors

Jeremiah MF Kelly

Material

README
Reference manual
Package source

Vignettes

Workflow
Parameters Explained

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Dark archive

Imports

stats
grDevices
graphics
utils

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