cynkra is enthusiastic about open source software and the R universe – and we contribute to it, too. Here's a selection of our freely available software and data products.
Automatically updated data collection for Switzerland and unifying the interfacing to RDBMS are the flagships features of our databases open source projects
The DBI package separates the connectivity to the DBMS into a front-end and a back-end.
Applications use only the exposed “front-end” API. The facilities that communicate with specific DBMS (Oracle, PostgreSQL, etc.) are provided by “device drivers” that get invoked automatically by the S language evaluator.
The “Improving DBI” project, funded by the R consortium, includes the definition and implementation of a testable specification for DBI and making RSQLite fully compliant to the new specification.
Main use of R/S DBI is to unify the interfacing to RDBMS and to allow R/S applications to be developed on top of the DBI. It's interface resembles the one of the Python’s DBAPI which is thought of as the most relevant interface for the S language.
The goal of dm is to provide tools for reoccurring tasks when working with a set of related tables.
Our time series projects are easy to use and are packed with many useful features which make work with time series much easier
seasonal is an easy-to-use and full-featured R-interface to X-13ARIMA-SEATS, the latest seasonal adjustment software from the United States Census Bureau.
seasonal offers full access to almost all options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model search, outlier detection and support for user defined holiday variables, such as Chinese New Year or Indian Diwali. It also includes a Shiny-based graphical user interface.
X13binary package provides x-13 binaries and facilitates a fully-automatic installation on most platforms. X-13 handles monthly, quarterly and bi-annual time series. The newest version of X-13 oﬀers two seasonal adjustment methods, X-11 and TRAMO-SEATS, in a singlecommand-line tool which is written in Fortran. There is an online demo site for seasonal. You can upload and adjust your own time series. No software installation is needed.
tsbox makes life with R’s time series classes easy.
The R ecosystem knows a vast number of time series standards. Instead of creating the ultimate 15th time series class, tsbox provides a set of tools that are agnostic towards the existing standards. The tools also allow you to handle time series as plain data frames, thus making it easy to deal with time series in a dplyr or data.table workflow.
dataseries.org provides a structured collection of most of the relevant data series for Switzerland, automatically updated from various sources.