Software

Eight packages on CRAN as maintainer, two co-authored, three on GitHub, and two CRAN task views. Downloads are from the RStudio mirror for the last thirty days and refresh at build time. All code is on github.com/matthias-da.

As maintainer

eight packages on cran

> library(templ) # downloads: RStudio mirror, 30 days to 14 September 2026

package	purpose	version	downloads, 30 days
VIM	Visualisation and imputation of missing values	7.3.1	14,283
robCompositions	Robust compositional data analysis	2.6.0	1,211
sdcMicro	Anonymisation of microdata, disclosure risk, utility	5.8.2	1,198
simPop	Synthetic populations and complex synthetic data	2.1.3	646
riskutility	Disclosure risk and utility metrics for synthetic and anonymised data	0.2.0	437
pep725	Pan-European phenological data, with Barbara Templ	1.1.0	312
heaping	Correction of heaping in individual-level data	0.2.0	208
deepImp	Imputation with deep learning	1.1.0	208

Links to CRAN and GitHub: VIM (GitHub · 93 ★) · robCompositions (GitHub · 12 ★) · sdcMicro (GitHub · 93 ★) · simPop (GitHub · 34 ★) · riskutility (GitHub · 2 ★) · pep725 (GitHub · 3 ★) · heaping (GitHub · 0 ★) · deepImp

Co-authored on CRAN

laeken Indicators on poverty and social exclusion from complex surveys, maintained by Andreas Alfons · CRAN
emdi Estimating and mapping disaggregated indicators, maintained by Sören Pannier · CRAN

On GitHub

synvey Design-aware synthetic data at sample size · GitHub
robSynth Robust synthetic microdata under contaminated training data · GitHub
RAPID Predictive attribute disclosure risk

CRAN Task Views

OfficialStatistics with Alexander Kowarik and Tobias Schoch
CompositionalData with Karel Hron, Javier Palarea-Albaladejo and Alessandra Menafoglio

How to cite

Alfons, A., Templ, M., Filzmoser, P. (2010). An object-oriented framework for statistical simulation: the R package simFrame. Journal of Statistical Software, 37(3). doi:10.18637/jss.v037.i03
Templ, M., Hron, K., Filzmoser, P. (2011). robCompositions: an R-package for robust statistical analysis of compositional data. In: Compositional Data Analysis: Theory and Applications, Wiley. doi:10.1002/9781119976462.ch25
Alfons, A., Templ, M. (2013). Estimation of social exclusion indicators from complex surveys: the R package laeken. Journal of Statistical Software, 54(15). doi:10.18637/jss.v054.i15
Templ, M., Kowarik, A., Meindl, B. (2015). Statistical disclosure control for micro-data using the R package sdcMicro. Journal of Statistical Software, 67(4). doi:10.18637/jss.v067.i04
Kowarik, A., Templ, M. (2016). Imputation with the R package VIM. Journal of Statistical Software, 74(7). doi:10.18637/jss.v074.i07
Templ, M., Meindl, B., Kowarik, A., Dupriez, O. (2017). Simulation of synthetic complex data: the R package simPop. Journal of Statistical Software, 79(10). doi:10.18637/jss.v079.i10
Meindl, B., Templ, M. (2019). Feedback-based integration of the whole process of data anonymization in a graphical interface (the sdcApp interface). Algorithms, 12(9), 191. doi:10.3390/a12090191
Kreutzmann, A.-K., Pannier, S., Rojas-Perilla, N., Schmid, T., Templ, M., Tzavidis, N. (2019). The R package emdi for the estimation and mapping of regional disaggregated indicators. Journal of Statistical Software, 91(7). doi:10.18637/jss.v091.i07