datfbm

Data generated from a mixed Gaussian density function \(f(x) = 0.65 N(2,1)
+ 0.35 N(7, 1.5^2)\), where \(N(x, y)\) is the density function for a Normal
distribution with mean \(x\) and variance \(y\).

datasets

Provides methods to perform and analyse I-prior regression models.
Estimation is mainly done via an EM algorithm, but there is flexibility in
using any optimiser.

Haziq Jamil

iprior

Linear Regression using I-Priors

datfbm function

A data frame with 53940 rows and 10 variables:<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>Response variable</dd>
 <dt><code>x</code></dt><dd>Explanatory variable</dd>
</dl>

Format

Simulated data to illustrate one-dimensional smoothing — datfbm

A data frame with 53940 rows and 10 variables:<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>Response variable</dd>
 <dt><code>x</code></dt><dd>Explanatory variable</dd>
</dl>

datfbm: Simulated data to illustrate one-dimensional smoothing

Description

Usage

Arguments

Format

Examples