convex.bounds

Finds the boundaries of a bounded convex set along a specified 
straight line, using a bisection approach. It is mainly intended for 
use within <code>arms</code>.

misc

Provides routines for Maximum likelihood,
Kalman filtering and smoothing, and Bayesian
analysis of Normal linear State Space models, also known as
Dynamic Linear Models.

pcp by Giovanni Petris

Bayesian and Likelihood Analysis of Dynamic Linear Models

Giovanni Petris

Wally Gilks

convex.bounds function

<dl> <dt>x</dt>
<dd>a point within the set</dd> <dt>dir</dt>
<dd>a vector specifying a direction</dd> <dt>indFunc</dt>
<dd>indicator function of the set</dd> <dt>...</dt>
<dd>parameters passed to <code>indFunc</code></dd> <dt>tol</dt>
<dd>tolerance</dd></dl>

Arguments

Giovanni Petris <a href="/link/GPetris%40uark.edu?package=dlm&version=1.1-6.1" data-mini-rdoc="dlm::GPetris@uark.edu">GPetris@uark.edu</a>

Author

Find the boundaries of a convex set — convex.bounds

<dl>

 <dt>x</dt>
<dd>a point within the set</dd>

 <dt>dir</dt>
<dd>a vector specifying a direction</dd>

 <dt>indFunc</dt>
<dd>indicator function of the set</dd>

 <dt>...</dt>
<dd>parameters passed to <code>indFunc</code></dd>

 <dt>tol</dt>
<dd>tolerance</dd>

</dl>

Giovanni Petris <a href='mailto:GPetris@uark.edu'>GPetris@uark.edu</a>

convex.bounds: Find the boundaries of a convex set

Description

Usage

Value

Arguments

Author

Details

Examples