Confidence Intervals for Regression models

Calculates and prints the confidence intervals for the fitted model.

Usage

ciReg(fit, conf.level = 0.95, print.out = TRUE)

Arguments

fit

an object of class lm, i.e. the output from lm.

conf.level

confidence level of the intervals.

print.out

if TRUE, print out the output on the screen.

Value

The function returns a two-column matrix containing the upper and lower endpoints of the intervals.

Note

Deprecated in s20x 3.4.0. Use confint() instead.

See also

lm, summary, anova.

Examples

##Peruvian Indians data
data(peru.df)
fit = lm(BP ~ age + years + weight + height, data = peru.df)
ciReg(fit)
#> Warning: ciReg() is deprecated; use confint() instead.
#>             95 % C.I.lower    95 % C.I.upper
#> (Intercept)      -16.46474         196.81961
#> age               -0.72930           0.40664
#> years             -0.98412          -0.09194
#> weight             0.85391           2.14339
#> height            -0.10227           0.04705