Minor bug fixes fo compatibility isseues with ggridges.
Added the WH_WASS_MAT_DIST for computing a distance matrix
Fixed some minor bugs. Added the names of columns and the rows in weights matrices of adaptive distances based methods.
Fixed some minor bugs.
Fixed some visualizations accordingly to the new ggplot2 release.
Wasserstein metric)
Soelf Organizing maps have been improved for speed and aptions.
Wasserstein metric)
Some bugs have been resolved when processing data with a single variable.
Wasserstein metric)
Now, a set of methods for MatH (WH.SSQ, WH.vec.mean, and all the methods using them) are much faster due to RCPP implementation.
Wasserstein metric)
Some general improvements have been added for reducing elaboration times.
unsupervised learning
WH_kmeans now returns more informative outputs
principal components analysis
Multiple factor analysis has new functions for plotting results
Wasserstein metric)
unsupervised learning
fuzzy c-means and kohonen maps are 10 times faster
Wasserstein metric)
some minor bug fixed
Wasserstein metric)
some minor bug fixed
Wasserstein metric) > From raw data to histograms
A new function was added for generating a histogram from a set of raw data
Visualization
Now for plotting, ggplot2
package is used generally.
A new plot for visualizing Histogram Time Series was added.
A new plot for comparing obversed vs predicted histogram was added.
A new plot for showing the differences between an observed and a predicted histogram was added.
Regression and predictive techniques
A new function for computing Goodness of Fit of a model was added
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