SSasympOrig: Self-Starting Nls Asymptotic Regression Model through the Origin
Description
This selfStart model evaluates the asymptotic regression
function through the origin and its gradient. It has an
initial attribute that will evaluate initial estimates of the
parameters Asym and lrc for a given set of data.
Usage
SSasympOrig(input, Asym, lrc)
Arguments
input
a numeric vector of values at which to evaluate the model.
Asym
a numeric parameter representing the horizontal asymptote.
lrc
a numeric parameter representing the natural logarithm of
the rate constant.
Value
a numeric vector of the same length as input. It is the value of
the expression Asym*(1 - exp(-exp(lrc)*input)). If all of
the arguments Asym and lrc are
names of objects, the gradient matrix with respect to these names is
attached as an attribute named gradient.