Software
mapping: Automatic Download, Linking, Manipulating Coordinates for Maps
(Authors: Alessio Serafini, Giancarlo Ferrara)
Maps are an important tool to visualise variables distribution across different spatial object. The mapping process require to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of mapping workflow of different geographical statistical unit.Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions.provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.
Available on CRAN.
For more details see the A journey into mapping.
GitHub repository
ppgmmga: Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
(Authors: Alessio Serafini, Luca Scrucca)
An R package implementing a Projection Pursuit (PP) algorithm based on finite Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. The ppgmmga algorithm provides a method to visualise high-dimensional data in a lower-dimensional space.
Available on CRAN.
For more details see the A quick tour of ppgmmga.
GitHub repository
Look at mclust-org
dformula: Data Manipulation using Formula
(Authors: Alessio Serafini)
A tool for manipulating data using the generic formula. A single formula allows to easily add, replace and remove variables before running the analysis.
Available on CRAN.
For more details see the An overview.
GitHub repository
fclust: Fuzzy Clustering
(Authors: Paolo Giordani, Maria Brigida Ferraro, Alessio Serafini)
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visualizing fuzzy clustering results.
- Available on CRAN.
LMest: Latent Markov models for longitudinal.
(Authors: Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini)
LMest is a framework for specifying and fitting Latent (or Hidden) Markov (LM) models, which are tailored for the analysis of longitudinal continuous and categorical data. Covariates are also included in the model specification through suitable parameterizations.
- Available on CRAN.