R Consulting
Shiny
Working with data
Open Source
We are enthusiastic about open source software (OSS) and the R ecosystem. Members of our team author and maintain OSS projects from database and development tools to machine learning, statistics, and time series analysis libraries.
Let us improve your software
R Packages as a service
We'd be happy to help you take your R package to the next level, and/or to CRAN. Our team is knowledgeable about the R open-source ecosystem. Contact us to get an offer.
What Our Clients Say About Us:
cynkra has been consulting for DuckDB Labs on R-related projects for over two years now. We are very impressed by the depth of their technical knowledge on the language, their deep integration into the package ecosystem and envelope-pushing regarding automation.
Hannes Mühleisen
DuckDB Labs
I am a Senior Computational Biologist who has been coding in R for over 20 years. Since 5 years I have been hiring Kirill Müller to work with me on select projects. Our interactions are fun and highly productive and he continues to teach me to become a much better programmer.
Joseph Thorley
Poisson Consulting
cynkra has collaborated with our research group in 2022 in the realization of an R-package integrating external libraries. They delivered a robust and reliable solution within the agreed time frame. What I appreciated most was their availability to answer questions and provide feedback even after the conclusion of the project.
Luca Carraro
Eawag
Energie360° has been expertly supported by cynkra since 2018 and we couldn't be happier. Their quick response time, friendly can-do attitude and lighning speed at work makes their app development service absolutely recommendable.
Péter Jeszenszky
Energie360°
Featured Open Source Projects
Members of our team author and maintain open-source software projects from database and development tools to machine learning, statistics, and time series analysis.
DBI: R Database Interface
open source project
Provides a unifying interface to relational databases in R, with backend packages like RSQLite, RMariaDB and RPostgres for specific databases.
Key Features
- Unified interface for all database operations.
- Supports multiple DB backends like MySQL, SQLite, PostgreSQL, and more.
- Easy data fetching and manipulation within R.
- Comprehensive error handling.
Client Applications
The DBI package is a vital part of the R ecosystem, enabling seamless database management. It is used in all client projects where we interact with a database.
+250
Github Stars
+0.6 Mio
Monthly downloads
+20
Client Projects
seasonal: R Interface to X-13-ARIMA-SEATS
open source project
Facilitates seasonal adjustment of time series data using X-13-ARIMA-SEATS, with support for automatic ARIMA modeling, outlier detection, and user-defined holidays.
Key Features
- Easy-to-use Interface
- Automatic ARIMA Model Search
- Outlier Detection
- Support for User-defined Holidays
- Graphical User Interface via seasonalview
Client Applications
Essential for analysts and statisticians in economics and finance for accurate seasonal adjustment of time series data.
+100
Github Stars
+5
Client Projects
Our packages
| Name | Description | Category | |
|---|---|---|---|
| DBI: R database interface | Provides a unifying interface to relational databases in R, with backend packages like RSQLite, RMariaDB and RPostgres for specific databases. | Database | |
| dm: relational data models | Provides tools for working with related tables, stored as data frames or in a relational database. Consume, build, and deploy relational data models in R. | Database | |
| mlr3: ML in R - next generation | Efficient, object-oriented programming on the building blocks of machine learning. The package is geared towards scalability and larger datasets. | Machine learning | |
| Spatio-temporal resampling | The mlr3spatiotempcv package extends the mlr3 package framework with spatiotemporal resampling and visualization methods. | Machine learning | |
| mlr: machine learning in R | Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. | Machine learning | |
| Odds ratio calculation | Simplified odds ratio calculation for GAM(M)s and GLM(M)s. Provides structured output of all predictors and their corresponding odds ratios. | Statistics | |
| Spatial error estimation | Implements error estimation and variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap. | Statistics | |
| wrswoR: random sampling | A collection of implementations of classical and novel algorithms for weighted random sampling without replacement. | Statistics | |
| Class-agnostic time series in R | tsbox proides a set of tools that are agnostic towards the existing standards. The tools allow you to handle time series as plain data frames. | Time series | |
| Seasonal adjustment by X-13 | The seasonal package is an interface to X-13-ARIMA-SEATS, the seasonal adjustment software by the US Census Bureau. x13binary provides the binaries. | Time series | |
| Temporal disaggregation | Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a higher frequency series. | Time series | |
| dataseries: Swiss open data | dataseries.org provides a structured collection of many of the relevant data series for Switzerland, automatically updated from various sources. | Time series | |
| tibble: simple data frames | Tibbles are a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. | Convenience | |
| here: a simple way to find files | Two related packages to provide a simpler way to find your files. The 'root' of a project is defined as a directory that matches a certain criterion. | Convenience | |
| tv: data frames in the browser | The tv package lively displays data frames. It modifies the print method of data frames to also appear in a browser or in the view pane of the RStudio IDE. | Convenience | |
| fledge: simplified versioning | Wings for your R packages: Streamline the process of versioning R packages. Update your change log with relevant information from recent commit messages. | Development | |
| plogr: logging library for C++ | Provides the header files for a stripped-down version of the plog header-only C++ logging library, and a method to log to R's standard error stream. | Development | |
| profile + gprofiler: profiling in R | Defines a data structure for profiler data as well as methods to read and write from the 'Rprof' and 'pprof' file formats. | Development | |
| Continuous integration in R | Enhance and simplify working with continuous integration (CI) systems for R projects with tic, travis, circle and r-appveyor. | Development |