Software

Open source, sottoposto a revisione paritaria, verificabile

I nostri pacchetti R open source per la stima del rischio, l'anonimizzazione e i dati sintetici — su CRAN e GitHub — con le statistiche di download dei pacchetti CRAN.

Pacchetti

CRAN · dal 2007

sdcMicro

R package for statistical disclosure control of microdata — risk estimation, anonymization methods, and utility measurement. Peer-reviewed in the Journal of Statistical Software.

CRAN · dal 2014

simPop

Simulation of synthetic populations from survey and census data.

CRAN · dal 2010

RecordLinkage

R package for probabilistic and deterministic record linkage — deduplication and entity resolution across data sources, with comparison, classification, and evaluation tools.

GitHub

robSynth

Robust synthetic microdata generation when the training data are contaminated — a drop-in alternative to synthpop using MM-estimators, weighted logistic regression, and tree-based robust methods so outliers and coding errors don't propagate into the synthetic output.

In sviluppo

synvey

Design-aware, robust synthetic data generation — the successor to robSynth. Replaces the conditional models in sequential synthesis with MM-estimators and Huber-weighted logistic regression, keeping the synthetic data close to the clean data-generating process even when the source is contaminated.

Download CRAN

Download giornalieri di sdcMicro, simPop e RecordLinkage registrati sul mirror CRAN di Posit (RStudio) tramite cranlogs — l'unico mirror CRAN che pubblica i log di download, quindi il totale reale su tutti i mirror è più alto. Aggiornato a ogni build.

Granularity

Range

Time frame Last 180 days · 13 Mar – 8 Sep

7 days1821 days

Total downloads 21,440

Daily average 119

Peak day 321 7 Sep 2026

vs previous 180d

-43%

By package · selected window

sdcMicro

6,383

simPop

2,578

RecordLinkage

12,479

Counts are from the Posit (RStudio) CRAN mirror via cranlogs — one of many CRAN mirrors, so the true total is higher. Refreshed at each site build.
Last refreshed: 10 Sept 2026, 17:10 UTC

Prova i metodi

Demo interattive, direttamente nel browser — anonimizzare una tabella, generare dati sintetici o percorrere l'intera pipeline. Tutto viene eseguito nel tuo browser; nessun dato lascia la pagina.

Apri le demo