NLSstAsymptotic

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Fit the Asymptotic Regression Model

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.

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

SSasymp

Aliases
  • NLSstAsymptotic
  • NLSstAsymptotic.sortedXyData
Examples
library(stats) Lob.329 <- Loblolly[ Loblolly$Seed == "329", ] print(NLSstAsymptotic(sortedXyData(expression(age), expression(height), Lob.329)), digits = 3)
Documentation reproduced from package stats, version 3.3.3, License: Part of R 3.3.3

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