Title: Tools for Building, Visualizing, and Evaluating Self-Organizing
Imports: fields, graphics, ggplot2, hash,stats,grDevices
(1) Automatic cluster centroid detection and visualization using starbursts.
(2) Maintains two models of the data: (a) a self-organizing map model (b) a centroid based clustering model.

Imports: fields, graphics, ggplot2, hash, stats, grDevices

Title: A Very Efficient Implementation of Kohonen's Self-Organizing
Maps (SOMs) with Starburst Visualizations
Description: Kohonen's self-organizing maps with a number of distinguishing features:
(1) A very efficient, single threaded, stochastic training algorithm based on ideas from tensor algebra.  Up to 60x faster than traditional single-threaded training algorithms. No special accelerator hardware required.
(2) Automatic centroid detection and visualization using starbursts.
(3) Two models of the data: (a) a self-organizing map model, (b) a centroid based clustering model.
(4) A number of easily accessible quality metrics for the self-organizing map and the centroid based cluster model.

Title: An Efficient Implementation of Kohonen's Self-Organizing Maps
(1) An efficient, single threaded, stochastic training algorithm inspired by ideas from tensor algebra.  Provides significant speedups over traditional single-threaded training algorithms. No special accelerator hardware required (see <doi:10.1007/978-3-030-01057-7_60>).
(3) Two models of the data: (a) a self organizing map model, (b) a centroid based clustering model.
(4) A number of easily accessible quality metrics for the self organizing map and the centroid based cluster model (see <doi:10.1007/978-3-319-28518-4_4>).

Title: Applied Techniques to Demographic and Time Series Analysis
person("Cesar", "Gamboa-Sanabria", email="info@cesargamboasanabria.com", role=c( "aut", "mdc", "cph", "cre"), comment=c(ORCID = "0000-0001-6733-4759"))
Description: The use of overparameterization is proposed with combinatorial analysis to test a broader spectrum of possible ARIMA models.
In the selection of ARIMA models, the most traditional methods such as correlograms or others, do not usually cover many alternatives to define the number of coefficients to be estimated in the model, which represents an estimation method that is not the best.
The popstudy package contains several tools for statistical analysis in demography and time series based in Shryock research (Shryock et. al. (1980) <https://books.google.co.cr/books?id=8Oo6AQAAMAAJ>).
Imports: ggplot2, magrittr, lubridate, dplyr, tidyr, stats, demography,
forecast, zoo, ggpubr, moments, grid, stackoverflow, DescTools,
rcompanion, utils, corrr, Hmisc, psych, corrplot, correlation,
parallel, here, stringr, scales, rainbow, Rdpack
Author: Cesar Gamboa-Sanabria [aut, mdc, cph, cre]