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R Packages as a service
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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 | |
| dbplyr: database backend for dplyr | A database backend for dplyr that allows you to work with remote database tables as if they are in-memory data frames. | Database | |
| duckplyr: DuckDB backend for dplyr | A DuckDB backend for dplyr that provides fast and efficient data manipulation using DuckDB's query engine. | 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 | |
| rchroma: ChromaDB client | An R client for ChromaDB, allowing integration with the ChromaDB vector database for similarity search and embeddings. | Database | |
| 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 | |
| constructive: R object construction | Tools to construct R objects from their printed representation, useful for testing and debugging. | Development | |
| ask: interactive prompts | A simple and flexible way to create interactive prompts in R, useful for command-line applications. | Development | |
| flow: View and Browse Code Using Flow Diagrams | Visualize as flow diagrams the logic of functions, expressions or scripts in a static way or when running a call, visualize the dependencies between functions or between modules in a shiny app, and more. | Development | |
| 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 | |
| tic: Continuous integration in R | Enhance and simplify working with continuous integration (CI) systems for R projects with tic, travis, circle and r-appveyor. | Development |
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