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r-targets
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public |
As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
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2025-09-24 |
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r-gwasexacthw
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This package contains a function to do exact Hardy-Weinburg testing (using Fisher's test) for SNP genotypes as typically obtained in a Genome Wide Association Study (GWAS).
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2025-09-24 |
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r-threejs
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Create interactive 3D scatter plots, network plots, and globes using the 'three.js' visualization library (<https://threejs.org>).
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2025-09-24 |
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tree-sitter-sql
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SQL grammar for tree-sitter
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2025-09-24 |
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cffi
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Foreign Function Interface for Python calling C code.
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2025-09-24 |
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r-rgexf
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public |
Create, read and write 'GEXF' (Graph Exchange 'XML' Format) graph files (used in 'Gephi' and others). Using the 'XML' package, it allows the user to easily build/read graph files including attributes, 'GEXF' visual attributes (such as color, size, and position), network dynamics (for both edges and nodes) and edge weighting. Users can build/handle graphs element-by-element or massively through data-frames, visualize the graph on a web browser through 'gexf-js' (a 'javascript' library) and interact with the 'igraph' package.
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2025-09-24 |
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r-ruv
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Implements the 'RUV' (Remove Unwanted Variation) algorithms. These algorithms attempt to adjust for systematic errors of unknown origin in high-dimensional data. The algorithms were originally developed for use with genomic data, especially microarray data, but may be useful with other types of high-dimensional data as well. These algorithms were proposed in Gagnon-Bartsch and Speed (2012) <doi:10.1093/nar/gkz433>, Gagnon-Bartsch, Jacob and Speed (2013), and Molania, et. al. (2019) <doi:10.1093/nar/gkz433>. The algorithms require the user to specify a set of negative control variables, as described in the references. The algorithms included in this package are 'RUV-2', 'RUV-4', 'RUV-inv', 'RUV-rinv', 'RUV-I', and RUV-III', along with various supporting algorithms.
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2025-09-24 |
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libgz-sim-yarp-plugins
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YARP plugins for Modern Gazebo (gz-sim).
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2025-09-24 |
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reboost
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LEGEND Monte-Carlo simulation post-processing
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2025-09-24 |
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gz-sim-yarp-plugins
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public |
YARP plugins for Modern Gazebo (gz-sim).
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2025-09-24 |
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esmvalcore
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public |
ESMValCore: A community tool for pre-processing data from Earth system models in CMIP and running analysis scripts.
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2025-09-24 |
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django-viewflow
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Reusable workflow library for Django
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2025-09-24 |
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ojph
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public |
Python bindings for OpenJPH, a JPEG 2000 codec
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2025-09-24 |
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znflow
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A general purpose framework for building and running computational graphs.
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2025-09-24 |
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r-bart
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public |
Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information see Sparapani, Spanbauer and McCulloch <doi:10.18637/jss.v097.i01>.
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2025-09-24 |
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r-kza
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public |
Time Series Analysis including break detection, spectral analysis, KZ Fourier Transforms.
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2025-09-24 |
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netbird
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public |
Connect your devices into a secure WireGuard®-based overlay network with SSO, MFA and granular access controls.
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2025-09-24 |
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r-idm
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public |
Incremental Multiple Correspondence Analysis and Principal Component Analysis.
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2025-09-24 |
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r-rafalib
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A series of shortcuts for routine tasks originally developed by Rafael A. Irizarry to facilitate data exploration.
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2025-09-24 |
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r-googlecloudstorager
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Interact with Google Cloud Storage <https://cloud.google.com/storage/> API in R. Part of the 'cloudyr' <https://cloudyr.github.io/> project.
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2025-09-24 |
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r-normallaplace
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public |
Functions for the normal Laplace distribution. The package is under development and provides only limited functionality. Density, distribution and quantile functions, random number generation, and moments are provided.
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2025-09-24 |
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r-fredr
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An R client for the 'Federal Reserve Economic Data' ('FRED') API <https://research.stlouisfed.org/docs/api/>. Functions to retrieve economic time series and other data from 'FRED'.
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2025-09-24 |
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r-ieugwasr
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Interface to the 'OpenGWAS' database API <https://gwas-api.mrcieu.ac.uk/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
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2025-09-24 |
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r-elitism
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Recently many new p-value based multiple test procedures have been proposed, and these new methods are more powerful than the widely used Hochberg procedure. These procedures strongly control the familywise error rate (FWER). This is a comprehensive collection of p-value based FWER-control stepwise multiple test procedures, including six procedure families and thirty multiple test procedures. In this collection, the conservative Hochberg procedure, linear time Hommel procedures, asymptotic Rom procedure, Gou-Tamhane-Xi-Rom procedures, and Quick procedures are all developed in recent five years since 2014. The package name "elitism" is an acronym of "e"quipment for "l"ogarithmic and l"i"near "ti"me "s"tepwise "m"ultiple hypothesis testing. Version 1.0.0 was released on June 26, 2019. See Gou, J., and Zhang, F. (2020). Quick multiple test procedures and p-value adjustments. Technical report.
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2025-09-24 |
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r-interactions
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A suite of functions for conducting and interpreting analysis of statistical interaction in regression models that was formerly part of the 'jtools' package. Functionality includes visualization of two- and three-way interactions among continuous and/or categorical variables as well as calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are implemented for generalized linear models in addition to the standard linear regression context.
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2025-09-24 |
