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

.. r-package:: iimm
.. r-pkgversion:: 0.1
.. r-name:: lmer_t

     lmer_t

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
=====

.. code-block:: r

   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.