NLSstAsymptotic {stats} | R Documentation |
Fit the Asymptotic Regression Model
Description
Fits the asymptotic regression model, in the form b0 +
b1*(1-exp(-exp(lrc) * x))
to the xy
data.
This can be used as a building block in determining starting estimates
for more complicated models.
Usage
NLSstAsymptotic(xy)
Arguments
xy |
a |
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.
Author(s)
José Pinheiro and Douglas Bates
See Also
Examples
Lob.329 <- Loblolly[ Loblolly$Seed == "329", ]
print(NLSstAsymptotic(sortedXyData(expression(age),
expression(height),
Lob.329)), digits = 3)
[Package stats version 4.4.1 Index]