pima

A population of women who were at least 21 years old,
 of Pima Indian heritage and living near Phoenix, Arizona, 
was tested for diabetes according to World Health Organization 
criteria. The data were collected by the US National Institute 
of Diabetes and Digestive and Kidney Diseases.

datasets

Regularized (polychotomous) logistic regression
by Gibbs sampling. The package implements subtly different
MCMC schemes with varying efficiency depending on the data type
(binary v. binomial, say) and the desired estimator (regularized maximum
likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a
unified interface. For details, see Gramacy & Polson (2012 <doi:10.1214/12-BA719>).

Robert Gramacy

reglogit

Simulation-Based Regularized Logistic Regression

pima function

A data frame with 768 observations on the following 9 variables.<dl>
 <dt><code>npreg</code></dt>
<dd>number of pregnancies</dd> <dt><code>glu</code></dt>
<dd>plasma glucose concentration in an oral glucose
 tolerance test</dd> <dt><code>bp</code></dt>
<dd>diastolic blood pressure (mm Hg)</dd> <dt><code>skin</code></dt>
<dd>tricepts skin fold thickness (mm)</dd> <dt><code>serum</code></dt>
<dd>2-hour serum insulin (mu U/ml)</dd> <dt><code>bmi</code></dt>
<dd>mody mass index (weight in kg/(height in m)^2)</dd> <dt><code>ped</code></dt>
<dd>diabetes pedigree function</dd> <dt><code>age</code></dt>
<dd>age in years</dd> <dt><code>y</code></dt>
<dd>classification label: <code>1</code> for diabetic</dd> 
</dl>

Format

Pima Indian Data — pima

A data frame with 768 observations on the following 9 variables.<dl>
 <dt><code>npreg</code></dt>
<dd>number of pregnancies</dd>

 <dt><code>glu</code></dt>
<dd>plasma glucose concentration in an oral glucose
 tolerance test</dd>

 <dt><code>bp</code></dt>
<dd>diastolic blood pressure (mm Hg)</dd>

 <dt><code>skin</code></dt>
<dd>tricepts skin fold thickness (mm)</dd>

 <dt><code>serum</code></dt>
<dd>2-hour serum insulin (mu U/ml)</dd>

 <dt><code>bmi</code></dt>
<dd>mody mass index (weight in kg/(height in m)^2)</dd>

 <dt><code>ped</code></dt>
<dd>diabetes pedigree function</dd>

 <dt><code>age</code></dt>
<dd>age in years</dd>

 <dt><code>y</code></dt>
<dd>classification label: <code>1</code> for diabetic</dd>

 
</dl>

pima: Pima Indian Data

Description

Usage

Arguments

Format

Examples