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Produces confidence intervals for the parameters in nonlinear regression model fit. The intervals can either be based large sample results or on profiling.
confint2(object, parm, level = 0.95, method = c("asymptotic", "profile"), ...)
A matrix with columns giving lower and upper confidence limits for each parameter.
object of class nls.
nls
a vector character strings with names of the parameter for which to calculate confidence intervals (by default all parameters).
the confidence level required.
method to be used: "asympotic" for large sample and "profile" for profiling approach.
additional argument(s) to pass on the method doing the profiling.
Christian Ritz
The profiling used is the method confint.nls.
confint.nls.
L.minor.m1 <- nls(rate ~ Vm*conc/(K+conc), data = L.minor, start = list(K=20, Vm=120)) confint2(L.minor.m1) confint2(L.minor.m1, "K")
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