gmodels (version 2.13.0)

ci: Compute Confidence Intervals

Description

Compute and display confidence intervals for model estimates. Methods are provided for the mean of a numeric vector ci.default, the probability of a binomial vector ci.binom, and for lm, lme, and lmer objects are provided.

Arguments

x

object from which to compute confidence intervals.

confidence

confidence level. Defaults to 0.95.

alpha

type one error rate. Defaults to 1.0-confidence

na.rm

boolean indicating whether missing values should be removed. Defaults to FALSE.

...

Arguments for methods

sim.lmer

Logical value. If TRUE confidence intervals will be estimated using [Matrix]{mcmcsamp}. This option only takes effect for lmer objects. n.sim{Number of samples to take in [Matrix]{mcmcsamp}

synopsis

ci(x, confidence = 0.95, alpha = 1 - confidence,...) ## S3 method for class 'default': ci(x, confidence = 0.95, alpha = 1 - confidence, na.rm=FALSE)...) ## S3 method for class 'binom': ci(x, confidence = 0.95, alpha = 1 - confidence,...) ## S3 method for class 'lm': ci(x, confidence = 0.95, alpha = 1 - confidence,...) ## S3 method for class 'lme': ci(x, confidence = 0.95, alpha = 1 - confidence,...) ## S3 method for class 'lmer': ci(x, confidence = 0.95, alpha = 1 - confidence, sim.lmer=TRUE, n.sim=1000, ...)