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Extensions of Package 'distr'
Extends package 'distr' by functionals, distances, and conditional distributions.
R Unit Test Framework
R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools.
Estimation of Indicators on Social Exclusion and Poverty
Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions.
Implementation of Random Variables
Implements random variables by means of S4 classes and methods.
Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Data from statistical agencies and other institutions are mostly
confidential. This package, introduced in Templ, Kowarik and Meindl (2017)
Compositional Data Analysis
Methods for analysis of compositional data including robust
methods (
Simulation of Complex Synthetic Data Information
Tools and methods to simulate populations for surveys based
on auxiliary data. The tools include model-based methods, calibration and
combinatorial optimization algorithms, see Templ, Kowarik and Meindl (2017)
"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Visualization and Imputation of Missing Values
New tools for the visualization of missing and/or imputed values are introduced, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods. A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods.
Object Oriented Implementation of Distributions
S4-classes and methods for distributions.