confint.teeMod: Confidence intervals with standard errors provided by...

In propertee: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment

Confidence intervals with standard errors provided by vcov.teeMod()

Description

An S3method for stats::confint that uses standard errors computed using vcov.teeMod(). Additional arguments passed to this function, such as cluster and type, specify the arguments of the vcov.teeMod() call.

Usage

## S3 method for class 'teeMod'
confint(object, parm, level = 0.95, ...)

Arguments

object	a fitted teeMod model
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 arguments to pass to vcov.teeMod()

Details

Rather than call stats::confint.lm(), confint.teeMod() calls .confint_lm(), a function internal to the propertee package that ensures additional arguments in the ... of the confint.teeMod() call are passed to the internal vcov() call.

Value

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 % (by default 2.5% and 97.5%)

propertee documentation built on Aug. 22, 2025, 1:09 a.m.