bostonhouseprice2

Corrected data, which come from a study by Harrison Jr and Rubinfeld (1978), examining
the association between median house prices in a particular community with
various community characteristics. See <code>bostonhouseprice</code> for the
original version.

datasets

Implementation of the SIC epsilon-telescope method, either
using single or distributional (multiparameter) regression. Includes classical regression
with normally distributed errors and robust regression, where the errors are from
the Laplace distribution. The "smooth generalized normal distribution" is used,
where the estimation of an additional shape parameter allows the user to move
smoothly between both types of regression. See O'Neill and Burke (2022)
"Robust Distributional Regression with Automatic Variable Selection" for more details.
<arXiv:2212.07317>. This package also contains the data analyses from O'Neill and
Burke (2023). "Variable selection using a smooth information criterion for distributional
regression models". <doi:10.1007/s11222-023-10204-8>.

Meadhbh O'Neill

smoothic

Variable Selection Using a Smooth Information Criterion

Kevin Burke

bostonhouseprice2 function

A data frame with 506 rows and 13 variables:<dl>
 <dt>crim</dt>
<dd>per capita crime rate by town</dd> <dt>zn</dt>
<dd>proportion of residential land zoned for lots over 25,000 sq.ft</dd> <dt>indus</dt>
<dd>proportion of non-retail business acres per town</dd> <dt>rm</dt>
<dd>average number of rooms per dwelling</dd> <dt>age</dt>
<dd>proportion of owner-occupied units built prior to 1940</dd> <dt>rad</dt>
<dd>index of accessibility to radial highways</dd> <dt>ptratio</dt>
<dd>pupil-teacher ratio by town</dd> <dt>lnox</dt>
<dd>log(nitric oxides concentration (parts per 10 million))</dd> <dt>ldis</dt>
<dd>log(weighted distances to five Boston employment centres)</dd> <dt>ltax</dt>
<dd>log(full-value property-tax rate per USD 10,000)</dd> <dt>llstat</dt>
<dd>log(percentage of lower status of the population)</dd> <dt>chast</dt>
<dd>Charles River dummy variable (=1 if tract bounds river; 0 otherwise)</dd> <dt>lcmedv</dt>
<dd>log(corrected median value of owner-occupied homes in USD 1000's)</dd> 
</dl>

Format

Boston House Price Data (Corrected Version) — bostonhouseprice2

A data frame with 506 rows and 13 variables:<dl>
 <dt>crim</dt>
<dd>per capita crime rate by town</dd>

 <dt>zn</dt>
<dd>proportion of residential land zoned for lots over 25,000 sq.ft</dd>

 <dt>indus</dt>
<dd>proportion of non-retail business acres per town</dd>

 <dt>rm</dt>
<dd>average number of rooms per dwelling</dd>

 <dt>age</dt>
<dd>proportion of owner-occupied units built prior to 1940</dd>

 <dt>rad</dt>
<dd>index of accessibility to radial highways</dd>

 <dt>ptratio</dt>
<dd>pupil-teacher ratio by town</dd>

 <dt>lnox</dt>
<dd>log(nitric oxides concentration (parts per 10 million))</dd>

 <dt>ldis</dt>
<dd>log(weighted distances to five Boston employment centres)</dd>

 <dt>ltax</dt>
<dd>log(full-value property-tax rate per USD 10,000)</dd>

 <dt>llstat</dt>
<dd>log(percentage of lower status of the population)</dd>

 <dt>chast</dt>
<dd>Charles River dummy variable (=1 if tract bounds river; 0 otherwise)</dd>

 <dt>lcmedv</dt>
<dd>log(corrected median value of owner-occupied homes in USD 1000's)</dd>

 
</dl>

bostonhouseprice2: Boston House Price Data (Corrected Version)

Description

Usage

Arguments

Format

References