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.
SSasympOrig(input, Asym, lrc)
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
.
nls
, selfStart