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r-knitcitations
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public |
Provides the ability to create dynamic citations in which the bibliographic information is pulled from the web rather than having to be entered into a local database such as 'bibtex' ahead of time. The package is primarily aimed at authoring in the R 'markdown' format, and can provide outputs for web-based authoring such as linked text for inline citations. Cite using a 'DOI', URL, or 'bibtex' file key. See the package URL for details.
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2025-09-24 |
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r-soupx
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public |
Quantify, profile and remove ambient mRNA contamination (the "soup") from droplet based single cell RNA-seq experiments. Implements the method described in Young et al. (2018) <doi:10.1101/303727>.
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2025-09-24 |
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r-sccore
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public |
Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.
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2025-09-24 |
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r-fportfolio
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public |
A collection of functions to optimize portfolios and to analyze them from different points of view.
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2025-09-24 |
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pytsql
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public |
pytsql allows to run mssql scripts, typically run via GUIs, via CLI.
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2025-09-24 |
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r-drake
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public |
A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://ropensci.github.io/drake/> and the online manual <https://ropenscilabs.github.io/drake-manual/>.
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2025-09-24 |
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r-gwidgetstcltk
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public |
Port of the gWidgets API to the tcltk package.
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2025-09-24 |
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r-sparsebn
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public |
Fast methods for learning sparse Bayesian networks from high-dimensional data using sparse regularization, as described in Aragam, Gu, and Zhou (2017) <arXiv:1703.04025>. Designed to handle mixed experimental and observational data with thousands of variables with either continuous or discrete observations.
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2025-09-24 |
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r-spotifyr
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public |
An R wrapper for pulling data from the 'Spotify' Web API <http://developer.spotify.com/web-api> in bulk. It allows you to enter an artist's name and retrieve their entire discography in seconds, along with audio features and lyrics from Genius Lyrics <https://www.genius.com>. You can also pull song and playlist information for a given 'Spotify' user.
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2025-09-24 |
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r-trackdown
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public |
Collaborative writing and editing of R Markdown (or Sweave) documents. The local .Rmd (or .Rnw) is uploaded as a plain-text file to Google Drive. By taking advantage of the easily readable Markdown (or LaTeX) syntax and the well-known online interface offered by Google Docs, collaborators can easily contribute to the writing and editing process. After integrating all authors’ contributions, the final document can be downloaded and rendered locally.
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2025-09-24 |
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smi-analysis
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public |
Scientific Python for data analysis at the Soft Matter Interface (SMI) beamline at NSLS-II
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2025-09-24 |
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r-anocva
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public |
Provides ANOCVA (ANalysis Of Cluster VAriability), a non-parametric statistical test to compare clustering structures with applications in functional magnetic resonance imaging data (fMRI). The ANOCVA allows us to compare the clustering structure of multiple groups simultaneously and also to identify features that contribute to the differential clustering.
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2025-09-24 |
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psygnal
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public |
Pure python implementation of Qt Signals
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2025-09-24 |
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cryspy
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public |
PNPD data analysis
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2025-09-24 |
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r-fail
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public |
More comfortable interface to work with R data or source files in a key-value fashion.
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2025-09-24 |
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r-datacomparer
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public |
Easy comparison of two tabular data objects in R. Specifically designed to show differences between two sets of data in a useful way that should make it easier to understand the differences, and if necessary, help you work out how to remedy them. Aims to offer a more useful output than all.equal() when your two data sets do not match, but isn't intended to replace all.equal() as a way to test for equality.
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2025-09-24 |
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r-bwstools
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public |
Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and to analyze data from these designs, using aggregate and individual methods such as: difference scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>; analytical estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>; empirical Bayes, Lipovetsky & Conklin (2015) <doi:10.1142/S1793536915500028>; Elo, Hollis (2018) <doi:10.3758/s13428-017-0898-2>; and network-based measures.
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2025-09-24 |
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r-lvm4net
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Latent variable models for network data using fast inferential procedures. For more information please visit: <http://igollini.github.io/lvm4net/>.
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2025-09-24 |
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r-ggdag
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public |
Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool (<http://dagitty.net>) for creating and analyzing DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as well as common analytic and graphical functions, such as determining adjustment sets and node relationships.
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2025-09-24 |
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r-clustree
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public |
Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.
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2025-09-24 |
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injective-py
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public |
Injective Python SDK, with Exchange API client
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2025-09-24 |
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r-plnmodels
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public |
The Poisson-lognormal model and variants can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data (Chiquet, Mariadassou and Robin, 2018 <doi:10.1214/18-AOAS1177>), discriminant analysis and network inference (Chiquet, Mariadassou and Robin, 2018 <http://proceedings.mlr.press/v97/chiquet19a.html>). Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
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2025-09-24 |
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libmetatensor-torch
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public |
TorchScript/C++ bindings to metatensor
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2025-09-24 |
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neomodel
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public |
An object mapper for the neo4j graph database.
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2025-09-24 |
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r-polynomf
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public |
Implements univariate polynomial operations in R, including polynomial arithmetic, finding zeros, plotting, and some operations on lists of polynomials.
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2025-09-24 |
