Compute confidence intervals
Computes confidence intervals on the basis of the final parameter estimates and inferences given by testEstimates.
## S3 method for class 'mitml.testEstimates' confint(object, parm, level = 0.95, ...)
object |
An object of class |
parm |
(optional) A reference to the parameters for which to calculate confidence intervals. Can be a character or integer vector denoting names or position of parameters, respectively. If missing, all parameters are considered (the default). |
level |
The confidence level. Default is to |
... |
Not being used. |
This function computes confidence intervals with the given confidence level for the pooled parameters on the basis of a t-distribution, with estimates, standard errors, and degrees of freedom as returned by testEstimates.
A matrix containing the lower and upper bounds of the confidence intervals.
Simon Grund
data(studentratings) fml <- ReadDis ~ ReadAchiev + (1|ID) imp <- panImpute(studentratings, formula = fml, n.burn = 500, n.iter = 100, m = 5) implist <- mitmlComplete(imp) # fit regression model fit <- with(implist, lm(ReadDis ~ 1 + ReadAchiev)) est <- testEstimates(fit) # compute confidence intervals confint(est) # ... with different confidence levels confint(est, level = 0.90) confint(est, level = 0.999)
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