SSasympOrig
SelfStarting Nls Asymptotic Regression Model through the Origin
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.
 Keywords
 models
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
.
See Also
Examples
library(stats)
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