poissonTest.df

<p>A test data set for bayesPois. The data come from the equation
\(\log(\lambda_{i}) = 1 + 5x_{i} + \epsilon_{i}\) where \(\epsilon_{i}\)
comes from N(0,0.01).</p>

datasets

A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." This book was written by Bill (WM) Bolstad and published in 2009 by John Wiley & Sons (ISBN 978-0470046098).

James Curran

Bolstad2

Bolstad Functions

poissonTest.df function

<p>A data frame with 100 observations on 5 variables.</p><table><tr><td>
[1,] </td>
<td> x </td>
<td> numeric </td>
<td> the covariate </td>
</tr><tr><td> [2,] </td>
<td> eps </td>
<td> numeric
</td>
<td> the error in the log response </td>
</tr><tr><td> [3,] </td>
<td> log.lam </td>
<td> numeric </td>
<td>
\(\log(\lambda_{i}) = 1 + 5x_{i} + \epsilon_{i}\) where \(\epsilon_{i}\)
</td>
</tr><tr><td> [4,] </td>
<td> lam </td>
<td> numeric </td>
<td> \(\exp(\log(\lambda))\) </td>
</tr><tr><td> [5,] </td>
<td>
y </td>
<td> numeric </td>
<td> a Poisson random variate with mean \(\lambda_{i}\) </td>
</tr></table>

poissonTest.df: A test data set for bayesPois

Description

Arguments

Format

See Also

[1,]	x	numeric	the covariate
[2,]	eps	numeric	the error in the log response
[3,]	log.lam	numeric	\(\log(\lambda_{i}) = 1 + 5x_{i} + \epsilon_{i}\) where \(\epsilon_{i}\)
[4,]	lam	numeric	\(\exp(\log(\lambda))\)
[5,]	y	numeric	a Poisson random variate with mean \(\lambda_{i}\)