| NLSstAsymptotic {stats} | R Documentation |
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.
NLSstAsymptotic(xy)
xy |
a sortedXyData object |
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.
Jose Pinheiro and Douglas Bates
Lob.329 <- Loblolly[ Loblolly$Seed == "329", ] NLSstAsymptotic(sortedXyData(expression(age), expression(height), Lob.329 ))