lmer_t: Inference based on a t-distribution for 'lmer' objects.

In melff/iimm: Improved Infrence for Multilevel Models with Few Clusters

Description

Function lmer_t provides confidence intervals and p-values based on the m-l-1 heuristic, the Satterthwaite and Kenward-Roger methods for models fitted with lmer.

Usage

lmer_t(object, method = c("Heuristic", "Satterthwaite", "Kenward-Roger"),
  level = 0.95)

Arguments

object	an object representing a linear mixed effects model, as returned by lmer
method	a character string that selects the method used to determine the degrees of freedom.
level	a number between 0 and 1, the level of the confidence intervals

Value

The function returns a list with two elements "lmer" - the original object - and "coefTab" which is a matrix with estimates, standard errors, t-statistics, degrees of freedom, lower and upper confidence intervals, and p-values.

melff/iimm documentation built on May 23, 2019, 6:07 p.m.