An internal helper function that constructs a confidence interval matrix from a matrix of parameter estimates and their standard errors. A t-distribution quantile is used for continuous response models; a standard normal quantile is used for all other response types (binomial, event, Poisson, negbin1, negbin2).
Usage
# S3 method for class 'basic'
confint(estMat, level, intType, dfres, formatting = TRUE)Arguments
- estMat
A numeric matrix with two columns: the first column contains parameter estimates and the second column contains their standard errors.
- level
The confidence level required (e.g.,
0.95for 95% intervals).- intType
A character string specifying the response type of the model. One of
"binomial","continuous","event","Poisson","negbin1", or"negbin2". Determines whether a normal or t-distribution quantile is used. For"continuous"models a t-distribution withdfresdegrees of freedom is used; all other types use the standard normal.- dfres
The residual degrees of freedom. Only used when
intType = "continuous".- formatting
Logical. If
TRUE(default), row and column names are added to the returned matrix.
Value
A numeric matrix with two columns giving the lower and upper confidence limits for each parameter.
See also
confint.drc() — the user-facing function that calls this helper.