Showing 22 of total 22 results (show query)
r-dbi
DBI:R Database Interface
A database interface definition for communication between R and relational database management systems. All classes in this package are virtual and need to be extended by the various R/DBMS implementations.
Maintained by Kirill Müller. Last updated 11 days ago.
302 stars 20.87 score 19k scripts 2.9k dependentsr-dbi
RSQLite:SQLite Interface for R
Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions in a recent version is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Maintained by Kirill Müller. Last updated 6 hours ago.
331 stars 18.78 score 8.1k scripts 1.1k dependents
ropensci
git2r:Provides Access to Git Repositories
Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
Maintained by Stefan Widgren. Last updated 5 hours ago.
gitgit-clientlibgit2libgit2-library
218 stars 13.93 score 836 scripts 46 dependentsr-dbi
RMySQL:Database Interface and 'MySQL' Driver for R
Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client written in 'C++' is available from the 'RMariaDB' package.
Maintained by Jeroen Ooms. Last updated 2 months ago.
209 stars 13.68 score 3.7k scripts 15 dependents
tomoakin
RPostgreSQL:R Interface to the 'PostgreSQL' Database System
Database interface and 'PostgreSQL' driver for 'R'. This package provides a Database Interface 'DBI' compliant driver for 'R' to access 'PostgreSQL' database systems. In order to build and install this package from source, 'PostgreSQL' itself must be present your system to provide 'PostgreSQL' functionality via its libraries and header files. These files are provided as 'postgresql-devel' package under some Linux distributions. On 'macOS' and 'Microsoft Windows' system the attached 'libpq' library source will be used.
Maintained by Tomoaki Nishiyama. Last updated 1 days ago.
66 stars 12.11 score 4.5k scripts 19 dependents
eddelbuettel
RProtoBuf:R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. A sufficiently recent version of 'Protocol Buffers' library is required; currently version 3.3.0 from 2017 is the stated minimum.
Maintained by Dirk Eddelbuettel. Last updated 13 days ago.
c-plus-plusprotocol-buffersprotobufcpp
73 stars 11.44 score 126 scripts 21 dependents
bioc
Cardinal:A mass spectrometry imaging toolbox for statistical analysis
Implements statistical & computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.
Maintained by Kylie Ariel Bemis. Last updated 3 months ago.
softwareinfrastructureproteomicslipidomicsmassspectrometryimagingmassspectrometryimmunooncologynormalizationclusteringclassificationregression
48 stars 10.32 score 200 scripts
prestodb
RPresto:DBI Connector to Presto
Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Maintained by Jarod G.R. Meng. Last updated 1 months ago.
132 stars 9.73 score 25 scripts 4 dependents
s-u
RJDBC:Provides Access to Databases Through the JDBC Interface
The RJDBC package is an implementation of R's DBI interface using JDBC as a back-end. This allows R to connect to any DBMS that has a JDBC driver.
Maintained by Simon Urbanek. Last updated 2 years ago.
52 stars 9.52 score 1.1k scripts 6 dependentsbioc
matter:Out-of-core statistical computing and signal processing
Toolbox for larger-than-memory scientific computing and visualization, providing efficient out-of-core data structures using files or shared memory, for dense and sparse vectors, matrices, and arrays, with applications to nonuniformly sampled signals and images.
Maintained by Kylie A. Bemis. Last updated 4 months ago.
infrastructuredatarepresentationdataimportdimensionreductionpreprocessingcpp
57 stars 9.52 score 64 scripts 2 dependentsropensci
UCSCXenaTools:Download and Explore Datasets from UCSC Xena Data Hubs
Download and explore datasets from UCSC Xena data hubs, which are a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others. Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
Maintained by Shixiang Wang. Last updated 5 months ago.
api-clientbioinformaticsccledownloadericgctcgatoiltreehouseucscucsc-xena
106 stars 8.55 score 163 scripts 1 dependents
rpact-com
rpact:Confirmatory Adaptive Clinical Trial Design and Analysis
Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Maintained by Friedrich Pahlke. Last updated 5 days ago.
adaptive-designanalysisclinical-trialscount-datagroup-sequential-designspower-calculationsample-size-calculationsimulationvalidatedfortrancpp
25 stars 8.20 score 110 scripts 1 dependentsropensci
dittodb:A Test Environment for Database Requests
Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.
Maintained by Jonathan Keane. Last updated 12 months ago.
82 stars 8.04 score 49 scripts
etiennebacher
tidypolars:Get the Power of Polars with the Syntax of the Tidyverse
Polars is a cross-language tool for manipulating very large data. However, one drawback is that the R implementation has a syntax that will look odd to many R users who are not used to Python syntax. The objective of tidypolars is to improve the ease-of-use of Polars in R by providing tidyverse syntax to polars.
Maintained by Etienne Bacher. Last updated 19 days ago.
198 stars 7.86 score 30 scripts
cmu-delphi
epidatr:Client for Delphi's 'Epidata' API
The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Maintained by David Weber. Last updated 9 days ago.
5 stars 7.71 score 114 scriptsropensci
rdataretriever:R Interface to the Data Retriever
Provides an R interface to the Data Retriever <https://retriever.readthedocs.io/en/latest/> via the Data Retriever's command line interface. The Data Retriever automates the tasks of finding, downloading, and cleaning public datasets, and then stores them in a local database.
Maintained by Henry Senyondo. Last updated 8 months ago.
datadata-sciencedatabasedatasetsscience
46 stars 7.70 score 36 scripts
jazznbass
scan:Single-Case Data Analyses for Single and Multiple Baseline Designs
A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, and custom transformations. An export function helps to generate html, word, and latex tables in a publication friendly style. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.
Maintained by Juergen Wilbert. Last updated 10 days ago.
4 stars 6.47 score 62 scripts 1 dependents
nikolaus77
rocker:Database Interface Class
'R6' class interface for handling relational database connections using 'DBI' package as backend. The class allows handling of connections to e.g. PostgreSQL, MariaDB and SQLite. The purpose is having an intuitive object allowing straightforward handling of SQL databases.
Maintained by Nikolaus Pawlowski. Last updated 3 years ago.
databasedbimariadbmysqlpostgrespostgresqlr6sqlsqlite
5 stars 5.24 score 7 scriptsbioc
MouseFM:In-silico methods for genetic finemapping in inbred mice
This package provides methods for genetic finemapping in inbred mice by taking advantage of their very high homozygosity rate (>95%).
Maintained by Matthias Munz. Last updated 5 months ago.
geneticssnpgenetargetvariantannotationgenomicvariationmultiplecomparisonsystemsbiologymathematicalbiologypatternlogicgenepredictionbiomedicalinformaticsfunctionalgenomicsfinemapgene-candidatesinbred-miceinbred-strainsmouseqtlqtl-mapping
5.13 score 5 scripts
chronosphere-info
chronosphere:Evolving Earth System Variables
The implemented functions allow the query, download, and import of remotely-stored and version-controlled data items. The inherent meta-database maps data files and import code to programming classes and allows access to these items via files deposited in public repositories. The purpose of the project is to increase reproducibility and establish version tracking of results from (paleo)environmental/ecological research.
Maintained by Adam T. Kocsis. Last updated 2 years ago.
6 stars 4.53 score 56 scripts
dbosak01
fetch:Fetch Data from Various Data Sources
Contains functions to fetch data from various data sources. The user first creates a catalog of objects from a data source, then fetches data from the catalog. The package provides an easy way to access data from many different types of sources.
Maintained by David Bosak. Last updated 1 years ago.
3 stars 4.18 score 7 scripts