energy

A dataset containing the energy consumption and other attributes during 22 days.

datasets

To fit the kernel semi-parametric model and its extensions. It allows multiple kernels and unlimited interactions in the same model. Coefficients are estimated by maximizing a penalized log-likelihood; penalization terms and hyperparameters are estimated by minimizing leave-one-out error. It includes predictions with confidence/prediction intervals, statistical tests for the significance of each kernel, a procedure for variable selection and graphical tools for diagnostics and interpretation of covariate effects. Currently it is implemented for continuous dependent variables. The package is based on the paper of Liu et al. (2007), <doi:10.1111/j.1541-0420.2007.00799.x>.

Catherine Schramm

KSPM

Kernel Semi-Parametric Models

Aurelie Labbe

Celia M. T. Greenwood

energy function

A data frame with 504 rows and 7 variables:<dl class="dl-horizontal">
 <dt>power</dt><dd>energy consumption</dd>
 <dt>date</dt><dd>date</dd>
 <dt>Temperature</dt><dd>temperature</dd>
 <dt>P</dt><dd>pression</dd>
 <dt>HR</dt><dd>humidity rate</dd>
 <dt>hour</dt><dd>hour (categorical)</dd>
 <dt>hour.num</dt><dd>hour (numerical)</dd>
</dl>

Format

Energy consumption measuring hourly during 22 days — energy

A data frame with 504 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>power</dt><dd>energy consumption</dd>
 <dt>date</dt><dd>date</dd>
 <dt>Temperature</dt><dd>temperature</dd>
 <dt>P</dt><dd>pression</dd>
 <dt>HR</dt><dd>humidity rate</dd>
 <dt>hour</dt><dd>hour (categorical)</dd>
 <dt>hour.num</dt><dd>hour (numerical)</dd>
</dl>

energy: Energy consumption measuring hourly during 22 days

Description

Usage

Arguments

Format