NLSstAsymptotic
Fit the Asymptotic Regression Model
Fits the asymptotic regression model, in the form b0 +
b1*(1exp(exp(lrc) * x)
to the xy
data.
This can be used as a building block in determining starting estimates
for more complicated models.
 Keywords
 manip
Usage
NLSstAsymptotic(xy)
Arguments
 xy
 a
sortedXyData
object
Value

A numeric value of length 3 with components labelled
b0
,
b1
, and lrc
. b0
is the estimated intercept on
the y
axis, b1
is the estimated difference between the
asymptote and the y
intercept, and lrc
is the estimated
logarithm of the rate constant.
See Also
Examples
library(stats)
Lob.329 < Loblolly[ Loblolly$Seed == "329", ]
print(NLSstAsymptotic(sortedXyData(expression(age),
expression(height),
Lob.329)), digits = 3)
Community examples
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