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Dark
View on CRAN: Click
here
Download and install Dark package within the R console
Install from CRAN:
install.packages("Dark")
Install from Github:
library("remotes")
install_github("cran/Dark") Install by package version:
library("remotes")
install_version("Dark", "0.9.9") Attach the package and use:
library("Dark")
Maintained by
Jeremiah MF Kelly
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-18
Latest Update: 2025-01-14
Description:
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.
How to cite:
Jeremiah MF Kelly (2015). Dark: The Analysis of Dark Adaptation Data. R package version 0.9.9, https://cran.r-project.org/web/packages/Dark. Accessed 25 Jun. 2026.
Other packages that cited Dark R package
View Dark citation profile
Other R packages that Dark depends,
imports, suggests or enhances
Complete documentation for Dark
Functions, R codes and Examples using
the Dark R package
Some associated functions: AICc . BestFit . BootDark . Dark-package . Declutter . GetData . H . ModelSelect . MultiStart . P3 . P5c . P6c . P7c . Start . TestData . dark .
Some associated R codes: AICc.R . BestFit.R . BootDark.R . DarkWrap.R . Declutter.R . GetData.R . H.R . ModelSelect.R . MultiStart.R . P3.R . P5c.R . P6c.R . P7c.R . Start.R . TestData.R . Full Dark package functions and examples
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