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r-heatmap.plus
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public |
Allows heatmap matrix to have non-identical X- and Y-dimensions. Allows multiple tracks of annotation for RowSideColors and ColSideColors.
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2025-09-24 |
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r-svgpanzoom
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public |
This 'htmlwidget' provides pan and zoom interactivity to R graphics, including 'base', 'lattice', and 'ggplot2'. The interactivity is provided through the 'svg-pan-zoom.js' library. Various options to the widget can tailor the pan and zoom experience to nearly any user desire.
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2025-09-24 |
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r-msar
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public |
Visualizes multiple sequence alignments dynamically within the Shiny web application framework.
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2025-09-24 |
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r-ggplot.multistats
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public |
Provides the ggplot binning layer stat_summaries_hex(), which functions similar to its singular form, but allows the use of multiple statistics per bin. Those statistics can be mapped to multiple bin aesthetics.
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2025-09-24 |
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r-vam
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public |
Contains logic for cell-specific gene set scoring of single cell RNA sequencing data.
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2025-09-24 |
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r-rideogram
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public |
For whole-genome analysis, idiograms are virtually the most intuitive and effective way to map and visualize the genome-wide information. RIdeogram was developed to visualize and map whole-genome data on idiograms with no restriction of species.
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2025-09-24 |
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r-compute.es
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public |
Several functions are available for calculating the most widely used effect sizes (ES), along with their variances, confidence intervals and p-values. The output includes ES's of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z' (Fisher's z), and OR (odds ratio and log odds ratio). In addition, NNT (number needed to treat), U3, CLES (Common Language Effect Size) and Cliff's Delta are computed. This package uses recommended formulas as described in The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009).
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2025-09-24 |
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r-clustermq
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public |
Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
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2025-09-24 |
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r-lognormreg
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public |
Functions to fits simple linear regression models with log normal errors and identity link (taking the responses on the original scale). See Muggeo (2018) <doi:10.13140/RG.2.2.18118.16965>.
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2025-09-24 |
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pywwa
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public |
A suite of parsers and utils for NWS products.
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2025-09-24 |
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warpx
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public |
WarpX is an advanced electromagnetic & electrostatic Particle-In-Cell code.
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2025-09-24 |
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r-brisc
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public |
Fits bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using nearest neighbor Gaussian processes detailed in Saha and Datta (2018) <doi:10.1002/sta4.184>.
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2025-09-24 |
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r-weightedcluster
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public |
Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.
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2025-09-24 |
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chezmoi
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public |
Manage your dotfiles across multiple diverse machines, securely
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2025-09-24 |
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r-preferably
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public |
This is an accessible template for 'pkgdown'. It uses two bootstrap themes, Flatly and Darkly and utilizes the 'prefers-color-scheme' CSS variable to automatically serve either of the two based on user’s operating system setting, or allowing them to manually toggle between them.
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2025-09-24 |
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r-rticles
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public |
A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.
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2025-09-24 |
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r-rocs
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public |
Plots the Receiver Operating Characteristics Surface for high-throughput class-skewed data, calculates the Volume under the Surface (VUS) and the FDR-Controlled Area Under the Curve (FCAUC), and conducts tests to compare two ROC surfaces. Computes eROC curve and the corresponding AUC for imperfect reference standard.
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2025-09-24 |
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r-inext
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public |
Provides simple functions to compute and plot two types (sample-size- and coverage-based) rarefaction and extrapolation of species diversity (Hill numbers) for individual-based (abundance) data or sampling-unit- based (incidence) data. (Hsieh, Ma and Chao 2014) <doi: 10.1111/2041-210X.12613>.
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2025-09-24 |
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spiceypy
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public |
The NASA JPL NAIF SPICE toolkit wrapper written in Python
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2025-09-24 |
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terraform-provider-oci
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public |
The Terraform Oracle Cloud Infrastructure (OCI) provider
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2025-09-24 |
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r-juniperkernel
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public |
Provides a full implementation of the 'Jupyter' <http://jupyter.org/> messaging protocol in C++ by leveraging 'Rcpp' and 'Xeus' <https://github.com/QuantStack/xeus>. 'Jupyter' supplies an interactive computing environment and a messaging protocol defined over 'ZeroMQ' for multiple programming languages. This package implements the 'Jupyter' kernel interface so that 'R' is exposed to this interactive computing environment. 'ZeroMQ' functionality is provided by the 'pbdZMQ' package. 'Xeus' is a C++ library that facilitates the implementation of kernels for 'Jupyter'. Additionally, 'Xeus' provides an interface to libraries that exist in the 'Jupyter' ecosystem for building widgets, plotting, and more <https://blog.jupyter.org/interactive-workflows-for-c-with-jupyter-fe9b54227d92>. 'JuniperKernel' uses 'Xeus' as a library for the 'Jupyter' messaging protocol.
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2025-09-24 |
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r-shinyfeedback
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public |
Easily display user feedback in Shiny apps.
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2025-09-24 |
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r-hmsc
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public |
Hierarchical Modelling of Species Communities (HMSC) is a model-based approach for analyzing community ecological data. This package implements it in the Bayesian framework with Gibbs Markov chain Monte Carlo (MCMC) sampling.
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2025-09-24 |
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r-hgnchelper
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public |
Contains functions for identifying and correcting HGNC human gene symbols and MGI mouse gene symbols which have been converted to date format by Excel, withdrawn, or aliased. Also contains functions for reversibly converting between HGNC symbols and valid R names.
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2025-09-24 |
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r-piggyback
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public |
Because larger (> 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by allowing larger (up to 2 GB) data files to piggyback on a repository as assets attached to individual GitHub releases. These files are not handled by git in any way, but instead are uploaded, downloaded, or edited directly by calls through the GitHub API. These data files can be versioned manually by creating different releases. This approach works equally well with public or private repositories. Data can be uploaded and downloaded programmatically from scripts. No authentication is required to download data from public repositories.
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2025-09-24 |
