Found 40 packages in 0.02 seconds

Create and (Interactively) Modify Nested Hierarchies

Provides functionality to generate, (interactively) modify (by adding, removing and renaming nodes) and convert nested hierarchies between different formats. These tree like structures can be used to define for example complex hierarchical tables used for statistical disclosure control.

Methods for Statistical Disclosure Control in Tabular Data

Methods for statistical disclosure control in
tabular data such as primary and secondary cell suppression as described for example
in Hundepol et al. (2012)

Consistent Perturbation of Statistical Frequency- And Magnitude Tables

Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) < https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) < https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.

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)

Compositional Data Analysis

Methods for analysis of compositional data including robust
methods (

Voronoi Treemaps with Added Interactivity by Shiny

The d3.js framework with the plugins d3-voronoi-map, d3-voronoi-treemap and d3-weighted-voronoi
are used to generate Voronoi treemaps in R and in a shiny application.
The computation of the Voronoi treemaps are based on Nocaj and Brandes (2012)

VAR Modelling

Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions of VAR models and estimation of SVAR and SVEC models.

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)

Unit Root and Cointegration Tests for Time Series Data

Unit root and cointegration tests encountered in applied econometric analysis are implemented.

Export Tables to LaTeX or HTML

Coerce data to LaTeX and HTML tables.