summary.dsample

Producing basic summary statistics (mean, standard deviation and the first five modes) from the sample drawn for all marginal distributions.

Discretization-based random sampling algorithm that is useful for a complex model in high dimension is implemented. The normalizing constant of a target distribution is not needed. Posterior summaries are compared with those by 'OpenBUGS'. The method is described: Wang and Lee (2014) <doi:10.1016/j.csda.2013.06.011> and exercised in Lee (2009) <http://hdl.handle.net/1993/21352>.

Chel Hee Lee

dsample

Discretization-Based Direct Random Sample Generation

Liqun Wang

summary.dsample function

<dl><dt>object</dt>
<dd><code>data.frame</code> containing the samples drawn</dd>
<dt>n</dt>
<dd>the first n samples</dd>
<dt>k</dt>
<dd>number of clusters</dd>
<dt>...</dt>
<dd>arguments passing to the functions used internally</dd></dl>

Arguments

Summary Statistics of Marginal Distributions — summary.dsample

<dl>

<dt>object</dt>
<dd><code>data.frame</code> containing the samples drawn</dd>


<dt>n</dt>
<dd>the first n samples</dd>


<dt>k</dt>
<dd>number of clusters</dd>


<dt>...</dt>
<dd>arguments passing to the functions used internally</dd>

</dl>

summary.dsample: Summary Statistics of Marginal Distributions

Description

Usage

Value

Arguments