ci.default

ci.binom

ci.lm

ci.lme

ci.mer

object from which to compute confidence intervals.

confidence

type one error rate.  Defaults to 1.0-<code>confidence</code>

alpha

boolean indicating whether missing values should be
    removed. Defaults to <code>FALSE</code>.

na.rm

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

sim.mer

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

Various R programming tools for model fitting

Gregory Warnes

gmodels

ci function

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 'mer':
ci(x, confidence = 0.95, alpha = 1 - confidence,
                    sim.mer=TRUE, n.sim=1000, ...)

ci: Compute Confidence Intervals

Description

Arguments

synopsis