confint
Confidence Intervals for Model Parameters

### Description

Returns the confidence intervals for model parameters.

### Usage

    confint(object, parm, level = 0.95, ...)
    ## Default S3 method:
    confint(object, parm, level = 0.95, ...)
    ## S3 method for class 'glm':
    confint(object, parm, level = 0.95, ...)
    ## S3 method for class 'lm':
    confint(object, parm, level = 0.95, ...)

### Arguments

object | a fitted model.
parm | a character string vector. Indicates for which coefficients of the fitted model, object, to compute confidence intervals. If this argument is missing, confint uses all parameters.
level | indicates the confidence level for confidence intervals. Must be between 0 and 1, and is usually close to 1.
... | additional arguments to be passed to corresponding functions in package MASS.

### Details

In generic methods of class "glm" and "nls", use the corresponding methods in the package "MASS" to calculate the confidence interval. The confidence interval is labeled as (1 - level)/2 and (1 + level)/2.
Value
returns the confidence interval for the values of parm.
See Also
MASS:::confint.glm, MASS:::confint.nls
Examples

    ldose <- rep(0:5, 2)
    numdead <- c(1, 4, 9, 13, 18, 20, 0, 2, 6, 10, 12, 16)
    sex <- factor(rep(c("M", "F"), c(6, 6)))
    SF <- cbind(numdead, numalive = 20 - numdead)
    budworm.lg <- glm(SF ~ sex*ldose, family = binomial)
    confint(budworm.lg)
    confint.default(budworm.lg)# based on asymptotic normality
    lm.fit <- lm(y ~ ., data=Sdatasets::freeny)
    confint(lm.fit)

Package stats version 6.1.5-18
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