This function is used to transition from 'off' to 'on'.

models

utilities

logistic

math

data

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.

Dr MF Kelly

Dark

The Analysis of Dark Adaptation Data

H function

<dl> <dt>x</dt>
<dd>is the measured time.</dd> <dt>k</dt>
<dd>is the transition constant, set arbitrarily high.</dd> <dt>t</dt>
<dd>is the time at which the transition occurs.</dd></dl>

Arguments

Jeremiah MF Kelly
Mumac Ltd, SK7 6NR, GB

Author

This is a simple switch function. — H

<dl>

 <dt>x</dt>
<dd>is the measured time.</dd>

 <dt>k</dt>
<dd>is the transition constant, set arbitrarily high.</dd>

 <dt>t</dt>
<dd>is the time at which the transition occurs.</dd>

</dl>

H: This is a simple switch function.

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples