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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-sleepwalk 0.3.2
Propagated dependencies: r-scales@1.4.0 r-jsonlite@2.0.0 r-jrc@0.6.0 r-httpuv@1.6.16 r-ggplot2@4.0.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://anders-biostat.github.io/sleepwalk/
Licenses: GPL 3
Build system: r
Synopsis: Interactively Explore Dimension-Reduced Embeddings
Description:

This package provides a tool to interactively explore the embeddings created by dimension reduction methods such as Principal Components Analysis (PCA), Multidimensional Scaling (MDS), T-distributed Stochastic Neighbour Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP) or any other.

r-spades-tools 2.1.1
Propagated dependencies: r-terra@1.8-86 r-reproducible@3.0.0 r-rcpp@1.1.0 r-fpcompare@0.2.4 r-data-table@1.17.8 r-checkmate@2.3.3 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://spades-tools.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description:

This package provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See ?SpaDES.tools for an categorized overview of these additional tools. The suggested package NLMR can be installed from the following repository: (<https://PredictiveEcology.r-universe.dev>).

r-sanfranbeachwater 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-rvest@1.0.5 r-readr@2.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SanFranBeachWater
Licenses: Expat
Build system: r
Synopsis: Downloads and Tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program Data
Description:

Downloads and tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program data. Data sets can be downloaded per beach, or the raw data can be downloaded. See <https://sfwater.org/cfapps/lims/beachmain1.cfm>.

r-shinypanels 0.5.0
Propagated dependencies: r-shinyjs@2.1.0 r-shiny@1.11.1 r-htmltools@0.5.8.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://github.com/datasketch/shinypanels
Licenses: Expat
Build system: r
Synopsis: Shiny Layout with Collapsible Panels
Description:

Create Shiny Apps with collapsible vertical panels. This package provides a new visual arrangement for elements on top of Shiny'. Use the expand and collapse capabilities to leverage web applications with many elements to focus the user attention on the panel of interest.

r-studentlife 1.1.0
Propagated dependencies: r-visdat@0.6.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-skimr@2.2.2 r-readr@2.1.6 r-r-utils@2.13.0 r-purrr@1.2.0 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Frycast/studentlife
Licenses: GPL 3
Build system: r
Synopsis: Tidy Handling and Navigation of the Student-Life Dataset
Description:

Download, navigate and analyse the Student-Life dataset. The Student-Life dataset contains passive and automatic sensing data from the phones of a class of 48 Dartmouth college students. It was collected over a 10 week term. Additionally, the dataset contains ecological momentary assessment results along with pre-study and post-study mental health surveys. The intended use is to assess mental health, academic performance and behavioral trends. The raw dataset and additional information is available at <https://studentlife.cs.dartmouth.edu/>.

r-spechelpers 0.3.2
Propagated dependencies: r-splancs@2.01-45 r-gsubfn@0.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bryanhanson/SpecHelpers
Licenses: GPL 3
Build system: r
Synopsis: Spectroscopy Related Utilities
Description:

Utility functions for spectroscopy. 1. Functions to simulate spectra for use in teaching or testing. 2. Functions to process files created by LoggerPro and SpectraSuite software.

r-statgenqtlxt 1.0.3
Propagated dependencies: r-statgengwas@1.0.12 r-sommer@4.4.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-foreach@1.5.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=statgenQTLxT
Licenses: GPL 3
Build system: r
Synopsis: Multi-Trait and Multi-Trial Genome Wide Association Studies
Description:

Fast multi-trait and multi-trail Genome Wide Association Studies (GWAS) following the method described in Zhou and Stephens. (2014), <doi:10.1038/nmeth.2848>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.

r-seqtrie 0.3.5
Propagated dependencies: r-stringi@1.8.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-r6@2.6.1 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/traversc/seqtrie
Licenses: GPL 3
Build system: r
Synopsis: Radix Tree and Trie-Based String Distances
Description:

This package provides a collection of Radix Tree and Trie algorithms for finding similar sequences and calculating sequence distances (Levenshtein and other distance metrics). This work was inspired by a trie implementation in Python: "Fast and Easy Levenshtein distance using a Trie." Hanov (2011) <https://stevehanov.ca/blog/index.php?id=114>.

r-spacesrgb 1.7-0
Propagated dependencies: r-logger@0.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spacesRGB
Licenses: GPL 3+
Build system: r
Synopsis: Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ and Lab
Description:

Standard RGB spaces included are sRGB, Adobe RGB, ProPhoto RGB, BT.709, and others. User-defined RGB spaces are also possible. There is partial support for ACES Color workflows.

r-simaerep 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-progressr@0.18.0 r-magrittr@2.0.4 r-knitr@1.50 r-glue@1.8.0 r-ggplot2@4.0.1 r-furrr@0.3.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://openpharma.github.io/simaerep/
Licenses: Expat
Build system: r
Synopsis: Detect Clinical Trial Sites Over- or Under-Reporting Clinical Events
Description:

Monitoring reporting rates of subject-level clinical events (e.g. adverse events, protocol deviations) reported by clinical trial sites is an important aspect of risk-based quality monitoring strategy. Sites that are under-reporting or over-reporting events can be detected using bootstrap simulations during which patients are redistributed between sites. Site-specific distributions of event reporting rates are generated that are used to assign probabilities to the observed reporting rates. (Koneswarakantha 2024 <doi:10.1007/s43441-024-00631-8>).

r-scrm 1.7.5
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/scrm/scrm-r
Licenses: GPL 3+
Build system: r
Synopsis: Simulating the Evolution of Biological Sequences
Description:

This package provides a coalescent simulator that allows the rapid simulation of biological sequences under neutral models of evolution, see Staab et al. (2015) <doi:10.1093/bioinformatics/btu861>. Different to other coalescent based simulations, it has an optional approximation parameter that allows for high accuracy while maintaining a linear run time cost for long sequences. It is optimized for simulating massive data sets as produced by Next- Generation Sequencing technologies for up to several thousand sequences.

r-samplingdatacrt 1.0
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=samplingDataCRT
Licenses: GPL 3
Build system: r
Synopsis: Sampling Data Within Different Study Designs for Cluster Randomized Trials
Description:

Package provides the possibility to sampling complete datasets from a normal distribution to simulate cluster randomized trails for different study designs.

r-sptdyn 2.0.3
Propagated dependencies: r-sptimer@3.3.3 r-spacetime@1.3-3 r-sp@2.2-0 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spTDyn
Licenses: GPL 2+
Build system: r
Synopsis: Spatially Varying and Spatio-Temporal Dynamic Linear Models
Description:

Fits, spatially predicts, and temporally forecasts space-time data using Gaussian Process (GP): (1) spatially varying coefficient process models and (2) spatio-temporal dynamic linear models. Bakar et al., (2016). Bakar et al., (2015).

r-scmappr 1.0.12
Propagated dependencies: r-seurat@5.3.1 r-reshape@0.8.10 r-pheatmap@1.0.13 r-pcamethods@2.2.0 r-pbapply@1.7-4 r-limsolve@2.0.1 r-gsva@2.4.1 r-gprofiler2@0.2.4 r-gprofiler@0.7.0 r-ggplot2@4.0.1 r-downloader@0.4.1 r-adapts@1.0.22
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scMappR
Licenses: GPL 3
Build system: r
Synopsis: Single Cell Mapper
Description:

The single cell mapper (scMappR) R package contains a suite of bioinformatic tools that provide experimentally relevant cell-type specific information to a list of differentially expressed genes (DEG). The function "scMappR_and_pathway_analysis" reranks DEGs to generate cell-type specificity scores called cell-weighted fold-changes. Users input a list of DEGs, normalized counts, and a signature matrix into this function. scMappR then re-weights bulk DEGs by cell-type specific expression from the signature matrix, cell-type proportions from RNA-seq deconvolution and the ratio of cell-type proportions between the two conditions to account for changes in cell-type proportion. With cwFold-changes calculated, scMappR uses two approaches to utilize cwFold-changes to complete cell-type specific pathway analysis. The "process_dgTMatrix_lists" function in the scMappR package contains an automated scRNA-seq processing pipeline where users input scRNA-seq count data, which is made compatible for scMappR and other R packages that analyze scRNA-seq data. We further used this to store hundreds up regularly updating signature matrices. The functions "tissue_by_celltype_enrichment", "tissue_scMappR_internal", and "tissue_scMappR_custom" combine these consistently processed scRNAseq count data with gene-set enrichment tools to allow for cell-type marker enrichment of a generic gene list (e.g. GWAS hits). Reference: Sokolowski,D.J., Faykoo-Martinez,M., Erdman,L., Hou,H., Chan,C., Zhu,H., Holmes,M.M., Goldenberg,A. and Wilson,M.D. (2021) Single-cell mapper (scMappR): using scRNA-seq to infer cell-type specificities of differentially expressed genes. NAR Genomics and Bioinformatics. 3(1). Iqab011. <doi:10.1093/nargab/lqab011>.

r-speedytax 1.0.4
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rcpp@1.1.0 r-phyloseq@1.54.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=speedytax
Licenses: Expat
Build system: r
Synopsis: Rapidly Import Classifier Results into 'phyloseq'
Description:

Import classification results from the RDP Classifier (Ribosomal Database Project), USEARCH sintax, vsearch sintax and the QIIME2 (Quantitative Insights into Microbial Ecology) classifiers into phyloseq tax_table objects.

r-spfsr 2.0.4
Propagated dependencies: r-tictoc@1.2.1 r-ranger@0.17.0 r-mlr3pipelines@0.10.0 r-mlr3learners@0.13.0 r-mlr3@1.2.0 r-lgr@0.5.0 r-ggplot2@4.0.1 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.featureranking.com/
Licenses: GPL 3
Build system: r
Synopsis: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation
Description:

An implementation of feature selection, weighting and ranking via simultaneous perturbation stochastic approximation (SPSA). The SPSA-FSR algorithm searches for a locally optimal set of features that yield the best predictive performance using some error measures such as mean squared error (for regression problems) and accuracy rate (for classification problems).

r-sportminer 0.1.0
Propagated dependencies: r-widyr@0.1.5 r-topicmodels@0.2-17 r-tidytext@0.4.3 r-tidyr@1.3.1 r-textminer@3.0.6 r-stm@1.3.8 r-snowballc@0.7.1 r-slam@0.1-55 r-scales@1.4.0 r-rscopus@0.9.0 r-rlang@1.1.6 r-matrix@1.7-4 r-magrittr@2.0.4 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/praveenmaths89/SportMiner
Licenses: Expat
Build system: r
Synopsis: Text Mining and Topic Modeling for Sport Science Literature
Description:

This package provides a comprehensive toolkit for mining, analyzing, and visualizing scientific literature in sport science domains. Provides functions for retrieving abstracts from Scopus', preprocessing text data, performing advanced topic modeling using Latent Dirichlet Allocation ('LDA'), Structural Topic Models ('STM'), and Correlated Topic Models ('CTM'), and creating publication-ready visualizations including keyword co-occurrence networks and topic trends. For methodological details see Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993> for LDA', Roberts et al. (2014) <doi:10.1111/ajps.12103> for STM', and Blei and Lafferty (2007) <doi:10.1214/07-AOAS114> for CTM'.

r-stripless 1.0-3
Propagated dependencies: r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stripless
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Structured Trellis Displays Without Strips for Lattice Graphics
Description:

For making Trellis-type conditioning plots without strip labels. This is useful for displaying the structure of results from factorial designs and other studies when many conditioning variables would clutter the display with layers of redundant strip labels. Settings of the variables are encoded by layout and spacing in the trellis array and decoded by a separate legend. The functionality is implemented by a single S3 generic strucplot() function that is a wrapper for the Lattice package's xyplot() function. This allows access to all Lattice graphics capabilities in the usual way.

r-spatialeco 2.0-3
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jeffreyevans/spatialEco
Licenses: GPL 3
Build system: r
Synopsis: Spatial Analysis and Modelling Utilities
Description:

Utilities to support spatial data manipulation, query, sampling and modelling in ecological applications. Functions include models for species population density, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, Quadrant-based sampling and analysis, auto-logistic modeling, sampling models, cluster optimization, statistical exploratory tools and raster-based metrics.

r-seuratexplorer 0.1.2
Propagated dependencies: r-shinywidgets@0.9.0 r-shinyjqui@0.4.1 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-seuratobject@5.2.0 r-seurat@5.3.1 r-scales@1.4.0 r-reshape2@1.4.5 r-qs2@0.1.6 r-patchwork@1.3.2 r-markdown@2.0 r-knitr@1.50 r-ggplot2@4.0.1 r-ggalluvial@0.12.5 r-dt@0.34.0 r-dplyr@1.1.4 r-colourpicker@1.3.0 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://CRAN.R-project.org/package=SeuratExplorer
Licenses: GPL 3+
Build system: r
Synopsis: An 'Shiny' App for Exploring scRNA-seq Data Processed in 'Seurat'
Description:

This package provides a simple, one-command package which runs an interactive dashboard capable of common visualizations for single cell RNA-seq. SeuratExplorer requires a processed Seurat object, which is saved as rds or qs2 file.

r-sequencespikeslab 1.0.1
Propagated dependencies: r-selectiveinference@1.2.5 r-rcppprogress@0.4.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SequenceSpikeSlab
Licenses: GPL 2+
Build system: r
Synopsis: Exact Bayesian Model Selection Methods for the Sparse Normal Sequence Model
Description:

This package contains fast functions to calculate the exact Bayes posterior for the Sparse Normal Sequence Model, implementing the algorithms described in Van Erven and Szabo (2021, <doi:10.1214/20-BA1227>). For general hierarchical priors, sample sizes up to 10,000 are feasible within half an hour on a standard laptop. For beta-binomial spike-and-slab priors, a faster algorithm is provided, which can handle sample sizes of 100,000 in half an hour. In the implementation, special care has been taken to assure numerical stability of the methods even for such large sample sizes.

r-sbrl 1.4
Dependencies: gsl@2.8 gsl@2.8 gmp@6.3.0
Propagated dependencies: r-rcpp@1.1.0 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sbrl
Licenses: GPL 2+
Build system: r
Synopsis: Scalable Bayesian Rule Lists Model
Description:

An efficient implementation of Scalable Bayesian Rule Lists Algorithm, a competitor algorithm for decision tree algorithms; see Hongyu Yang, Cynthia Rudin, Margo Seltzer (2017) <https://proceedings.mlr.press/v70/yang17h.html>. It builds from pre-mined association rules and have a logical structure identical to a decision list or one-sided decision tree. Fully optimized over rule lists, this algorithm strikes practical balance between accuracy, interpretability, and computational speed.

r-storm 1.2
Propagated dependencies: r-rjson@0.2.23 r-permute@0.9-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=Storm
Licenses: GPL 2+
Build system: r
Synopsis: Write Storm Bolts in R using the Storm Multi-Language Protocol
Description:

Storm is a distributed real-time computation system. Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing real-time computation. . Storm includes a "Multi-Language" (or "Multilang") Protocol to allow implementation of Bolts and Spouts in languages other than Java. This R extension provides implementations of utility functions to allow an application developer to focus on application-specific functionality rather than Storm/R communications plumbing.

r-shinybrowser 1.0.0
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinybrowser
Licenses: Expat
Build system: r
Synopsis: Find Out Information About a User's Web Browser in 'Shiny'
Description:

Sometimes it's useful to know some information about your user in a Shiny app. The available information is: browser name (such as Chrome or Safari') and version, device type (mobile or desktop), operating system (such as Windows or Mac or Android') and version, and browser dimensions.

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