Other packages > Find by keyword >

Dark  

The Analysis of Dark Adaptation Data
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]
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 07 Oct. 2026.
Previous versions and publish date:
0.9.4 (2015-05-18 00:56), 0.9.8 (2016-06-02 15:21), (2026-07-09 08:01)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA