magfields

A case control study of childhood leukemia and magnetic fields from Savitz, Wachtel, Barnes, et al (1998) doi:10.1093/oxfordjournals.aje.a114943.

datasets

Learning and using the Metropolis algorithm for
Bayesian fitting of a generalized linear model. The package vignette
includes examples of hand-coding a logistic model using several
variants of the Metropolis algorithm. The package also contains R
functions for simulating posterior distributions of Bayesian
generalized linear model parameters using guided, adaptive,
guided-adaptive and random walk Metropolis algorithms. The random walk
Metropolis algorithm was originally described in Metropolis et al
(1953); <doi:10.1063/1.1699114>.

Alexander Keil

metropolis

The Metropolis Algorithm

magfields function

A data frame with 234 rows and 2 variables:<dl class="dl-horizontal">
<dt>y</dt><dd>childhood leukemia</dd>
<dt>x</dt><dd>exposure to magnetic field</dd>
</dl>

Format

A case control study of childhood leukemia and magnetic fields from Savitz, Wachtel, Barnes, et al (1998) doi:10.1093/oxfordjournals.aje.a114943. — magfields

A data frame with 234 rows and 2 variables:<dl class='dl-horizontal'>
<dt>y</dt><dd>childhood leukemia</dd>
<dt>x</dt><dd>exposure to magnetic field</dd>
</dl>

magfields: A case control study of childhood leukemia and magnetic fields from Savitz, Wachtel, Barnes, et al (1998) doi:10.1093/oxfordjournals.aje.a114943.

Description

Usage

Arguments

Format