prepared by Maria do Rosário de Oliveira Silva
A new package dataSDA (June 2023) with SDA datasets appeared.
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The total number of downloads done in 2022 for each package is obtained according to the same package.
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Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix. Parameters are estimated by maximum likelihood or robust trimmed maximum likelihood methods. In 2022 it registered 6361 downloads.
RSDA:
R to Symbolic Data Analysis
This package implements, in the symbolic case, certain techniques of automatic classification, as well as some linear models. In 2022 it registered 5848
downloads.
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The package contains unsupervised classification techniques, least squares regression, and tools for histogram-valued data and for histogram time series. The methods and the basic statistics are mainly based on the L2 Wasserstein distance. In 2022 it registered 5124 downloads.
mdsOpt:
Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
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Implements several symbolic data analysis estimation and visualization methods, including MDS, clustering, decision trees, and kernel discriminant analysis, among others, for symbolic data. In 2022 it registered 3573 downloads.
iRegression:
Regression Methods for Interval-Valued Variables
GraphPCA:
Graphical Tools of Histogram PCA
ggESDA:
Exploratory Symbolic Data Analysis with ggplot2
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Antonio Irpino: HistDAWass: Histogram-Valued Data Analysis.
CRAN
Vladimir Batagelj, Nataša Kejžar: Clamix.
R-forge
MAINT.Data : Implements methodologies for modelling Interval Data, considering five different possible configurations structures for the variance-covariance matrix. It performs maximum likelihood estimation and statistical tests as well as (M)ANOVA and Linear and Quadratic Discriminant Analysis for all considered configurations.
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