extract,lmerMod-method: `extract` method for `lmerMod` objects

Description

extract method for lmerMod objects created by the lmer function in the lme4 package.

Usage

# S4 method for lmerMod
extract(
  model,
  method = c("naive", "profile", "boot", "Wald"),
  level = 0.95,
  nsim = 1000,
  include.aic = TRUE,
  include.bic = TRUE,
  include.dic = FALSE,
  include.deviance = FALSE,
  include.loglik = TRUE,
  include.nobs = TRUE,
  include.groups = TRUE,
  include.variance = TRUE,
  ...
)

Arguments

model: A statistical model object.
method: The method used to compute confidence intervals or p-values. The default value "naive" computes naive p-values while the other methods compute confidence intervals using the confint function. See confint.merMod.
level: Significance or confidence level (1 - alpha) for computing confidence intervals.
nsim: The MCMC sample size or number of bootstrapping replications on the basis of which confidence intervals are computed (only if the method argument does not specify "naive", which is the default behavior). Note: large values may take considerable computing time.
include.aic: Report Akaike's Information Criterion (AIC) in the GOF block?
include.bic: Report the Bayesian Information Criterion (BIC) in the GOF block?
include.dic: Report the deviance information criterion (DIC)?
include.deviance: Report the deviance?
include.loglik: Report the log likelihood in the GOF block?
include.nobs: Report the number of observations in the GOF block?
include.groups: Report the number of groups?
include.variance: Report group variances?
...: Arguments to be passed to the fixef function in the lme4 package.