confint.drc {drc} | R Documentation |
Computes confidence intervals for one or more parameters in a model of class 'drc'.
confint.drc(object, parm, level = 0.95, ...)
object |
a model object of class 'drc'. |
parm |
a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered. |
level |
the confidence level required. |
... |
additional argument(s) for methods. Not used. |
The confidence intervals are based on asymptotic normality.
A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labelled as (1-level)/2 and 1 - (1-level)/2 in
Christian Ritz
## Confidence interval for a single parameter model1 <- multdrc(FA) confint(model1, "e") ## Confidence intervals for all parameters confint(model1) rm(model1)