confint.slcafit {slca} | R Documentation |
Confidence Intervals for Model Parameters
Description
Computes confidence intervals for one or more parameters of a fitted model.
Usage
## S3 method for class 'slcafit'
confint(object, parm, level = 0.95, type = c("param", "logit"), ...)
Arguments
object |
an object of class |
parm |
an integer or string specifying the parameters for which confidence intervals are to be computed. |
level |
a numeric value representing the confidence level for the intervals. The default is |
type |
a character string specifying the format in which the results should be returned. Options include |
... |
additional arguments. |
Value
A matrix
with two columns representing the confidence intervals for the selected parameters. The column names correspond to the specified confidence level:
-
100 * (level / 2)%
: The lower bound of the confidence interval. -
100 * (1 - level / 2)%
: The upper bound of the confidence interval.
The level
argument determines the confidence level, with common values being 0.95
for a 95% confidence interval and 0.99
for a 99% confidence interval.
Examples
param(nlsy_jlcpa, index = TRUE)
confint(nlsy_jlcpa)
confint(nlsy_jlcpa, 1:4)