NTTS21
April 6, 2021 ยท View on GitHub
Source code accompanying NTTS 2021 publications
(You want the material you developed for your NTTS21 paper to be added to this list? Drop us an email estat-ntts@ec.europa.eu!)
| code | topic | abstract paper |
|---|---|---|
destim |
R package for mobile devices position estimation |
From raw telco data to final statistics: a modular process with synthetic networkevent data |
deduplication |
R package for computing device-duplicity probabilities |
|
aggregation |
R package for aggregating device counts into network-detected population counts |
|
inference |
R package for computing the target population counts conditioned on network-detected population counts and auxiliary information |
|
ARC |
Workbench for acquisition and normalization of data sets | Implementing shared statistical services |
IS2/Relais |
Workbench for tuning and launching statistical services, in particular RELAIS for record linkage | |
PxWeb |
Web application for dissemination of statistical tables | |
Trevas |
Validation and Transformation Language engine with Apache Spark implementation |
|
statistics-coded |
Catalogue of resources to reproduce the results of Eurostat Statistics Explained articles | statistics-coded โ Storytelling through literate programming and runnable computing |
persephone |
Object-oriented wrappers for RJDemetra |
persephone, production-ready seasonal adjustment in R with RJDemetra |
lissyrtools |
R package with functions for LISSY |
Continuous integration and sharing code in Official Statistics: an example with the lissyrtools package |
Exppert |
An open-source tool for experimenting with noise based perturbation schemes | An open-source tool for experimenting with noise-based perturbation schemes |
SLOPA |
Statistical learning for overestimated population adjustments | Correcting for population overestimates by using statistical classification methods |
Python dbnomics |
Access DBnomics time series from Python |
Publicly available high frequency indicators for assessing current economic activity in crisis time |
R dbnomics |
Access DBnomics time series from R |
|
Julia dbnomics |
Access DBnomics time series from Julia |
|
Matlab dbnomics |
Access DBnomics time series from Matlab |
|
Stata dbnomics |
Access DBnomics time series from Stata |
|
ntts2021-large-datasets-apache-parquet |
Large datasets Apache Parquet | Providing large trade data sets for research using Apache Parquet and R Shiny |
Programme of NTTS 2021 conference available here.