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 Control the Generation of Random Numbers for Sampling from the Proposal Distribution 
======================================================================================

.. r-package:: manifestos
.. r-pkgversion:: 0.8
.. r-name:: sampler

     mvt.sampler
     mvnorm.sampler

Description
===========

The functions ``mvt.sampler`` and ``mvnorm.sampler`` can be used to fine-tune the
construction and sampling from the proposal distribution in the importance sampling
algorithm used in the MCEM algorithm to fit ``latpos`` models.

Usage
=====

.. code-block:: r

     mvt.sampler(df,fix.seed=TRUE) # Multivariate Student's t-distribution
     mvnorm.sampler(fix.seed=TRUE) # Multivariate normal distribution

Arguments
=========

``df``
   a number, the degrees of freedom of the multivariate Student's t-distribution.

``fix.seed``
   a logical value; if TRUE the seed of the random number generated is reset in each MCEM
   iteration to make sure that approximate marginal log-likelihood surface is continuous
   while the simulation sample size is constant.

Value
=====

Both functions return a list that contains a function to generate random numbers and to
compute the log-density function of the distribution from which random numbers are
generated.