confint.drc {drc} | R Documentation |
Computes confidence intervals for one or more parameters in a model of class 'drc'.
## S3 method for class 'drc': confint(object, parm, level = 0.95, type = "t", ...)
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. |
type |
the type of confidence interval: based on the standard normal distribution or based on a t-distribution (default). |
... |
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
## Fitting a four-parameter log-logistic model ryegrass.m1 <- drm(rootl ~ conc, data = ryegrass, fct = LL.4()) ## Confidence intervals for all parameters confint(ryegrass.m1) ## Confidence interval for a single parameter confint(ryegrass.m1, "e")