Title: Dynamic Web Analytics for the Energy Industry
Description: A 'Shiny' web application for energy industry analytics.
Take an overview of the industry, measure Key Performance Indicators,
identify changes in the industry over time, and discover new relationships in the data.
Imports: d3heatmap, dplyr, DT, energyr, googleVis, leaflet, shiny,
Packaged: 2016-07-29 03:50:00 UTC; paulgovan

Title: Dynamic Web-Based Analytics for the Energy Industry
Packaged: 2016-10-26 15:14:57 UTC; paulgovan

Imports: dplyr, DT, energyr, googleVis, leaflet, plotly (>= 4.5.2),
Packaged: 2016-11-07 20:27:14 UTC; paulgovan

Packaged: 2017-02-18 22:44:45 UTC; paulgovan

Packaged: 2018-12-02 02:46:44 UTC; paulgovan

Title: Empirical Bayes Smoothing Splines with Correlated Errors
Description: Presents a statistical method that uses a recursive algorithm for signal extraction. The method handles a non-parametric estimation for the correlation of the errors. For details on the methods see: Serra, Krivobokova and Rosales (2018) <arXiv:1812.06948>.
Imports: Brobdingnag, parallel, nlme, Matrix, MASS, splines, Rcpp
Packaged: 2020-08-22 01:42:23 UTC; francisco

Title: "Empirical Bayes Smoothing Splines with Correlated Errors"
Author: Francisco Rosales, Tatyana Krivobokova, Paulo Serra.
Description: Presents a statistical method that uses a recursive algorithm for signal extraction. The method handles a non-parametric estimation for the correlation of the errors. See "Serra", "Krivobokova" and "Rosales" (2018) <arXiv:1812.06948> for details.

Packaged: 2022-04-24 21:27:14 UTC; franciscorosales

Description: Presents a statistical method that uses a recursive algorithm for signal extraction. The method handles a non-parametric estimation for the correlation of the errors. See "Krivobokova", "Serra", "Rosales" and "Klockmann" (2021) <arXiv:1812.06948> for details.
Packaged: 2022-04-29 23:57:45 UTC; franciscorosales

Description: Presents a statistical method that uses a recursive algorithm for signal extraction. The method handles a non-parametric estimation for the correlation of the errors. For details on the methods see: Serra et al. (2018) <arXiv:1812.06948>.
Packaged: 2020-07-06 14:26:13 UTC; francisco