Confidence intervals in nonlinear regression
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"), ...)object |
object of class |
parm |
a vector character strings with names of the parameter for which to calculate confidence intervals (by default all parameters). |
level |
the confidence level required. |
method |
method to be used: "asympotic" for large sample and "profile" for profiling approach. |
... |
additional argument(s) to pass on the method doing the profiling. |
The profiling used is the method confint.nls.
A matrix with columns giving lower and upper confidence limits for each parameter.
Christian Ritz
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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