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     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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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-simpletex 1.0.5
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/chuxinyuan/simpletex
Licenses: Expat
Build system: r
Synopsis: Mathematical Formulas and Character Recognition
Description:

By calling the SimpleTex <https://simpletex.cn/> open API implements text and mathematical formula recognition on the image, and the output formula can be used directly with Markdown and LaTeX'.

r-srscore 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 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=SRscore
Licenses: Expat
Build system: r
Synopsis: Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes
Description:

Stress Response score (SRscore) is a stress responsiveness measure for transcriptome datasets and is based on the vote-counting method. The SRscore is determined to evaluate and score genes on the basis of the consistency of the direction of their regulation (Up-regulation, Down-regulation, or No change) under stress conditions across multiple analyzed research projects. This package is based on the HN-score (score based on the ratio of gene expression between hypoxic and normoxic conditions) proposed by Tamura and Bono (2022) <doi:10.3390/life12071079>, and can calculate both the original method and an extended calculation method described in Fukuda et al. (2025) <doi:10.1093/plphys/kiaf105>.

r-savvysh 0.1.0
Propagated dependencies: r-mnormt@2.1.1 r-matrix@1.7-4 r-mass@7.3-65 r-glmnet@4.1-10 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://ziwei-chenchen.github.io/savvySh/
Licenses: GPL 3+
Build system: r
Synopsis: Slab and Shrinkage Linear Regression Estimation
Description:

This package implements a suite of shrinkage estimators for multivariate linear regression to improve estimation stability and predictive accuracy. Provides methods including the Stein estimator, Diagonal Shrinkage, the general Shrinkage estimator (solving a Sylvester equation), and Slab Regression (Simple and Generalized). These methods address Stein's paradox by introducing structured bias to reduce variance without requiring cross-validation, except for Shrinkage Ridge Regression where the intensity is chosen by minimizing an explicit Mean Squared Error (MSE) criterion. Methods are based on paper <https://openaccess.city.ac.uk/id/eprint/35005/>.

r-spyvsspy 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/shabbychef/SPYvsSPY
Licenses: LGPL 3
Build system: r
Synopsis: Spy vs. Spy Data
Description:

Data on the Spy vs. Spy comic strip of Mad magazine, created and written by Antonio Prohias.

r-sojourn 1.2.1
Propagated dependencies: r-zoo@1.8-14 r-svdialogs@1.1.1 r-rlang@1.1.6 r-pautilities@1.2.1 r-nnet@7.3-20 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://github.com/paulhibbing/Sojourn
Licenses: GPL 3
Build system: r
Synopsis: Apply Sojourn Methods for Processing ActiGraph Accelerometer Data
Description:

This package provides a simple way for utilizing Sojourn methods for accelerometer processing, as detailed in Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.

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-smdocker 0.1.4
Propagated dependencies: r-zip@2.3.3 r-uuid@1.2-1 r-paws-storage@0.9.0 r-paws-security-identity@0.9.0 r-paws-management@0.9.0 r-paws-machine-learning@0.9.0 r-paws-developer-tools@0.9.0 r-paws-compute@0.9.0 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/DyfanJones/sm-docker
Licenses: Expat
Build system: r
Synopsis: Build 'Docker Images' in 'Amazon SageMaker Studio' using 'Amazon Web Service CodeBuild'
Description:

Allows users to easily build custom docker images <https://docs.docker.com/> from Amazon Web Service Sagemaker <https://aws.amazon.com/sagemaker/> using Amazon Web Service CodeBuild <https://aws.amazon.com/codebuild/>.

r-shinyr 0.4.2
Propagated dependencies: r-wordcloud@2.6 r-tm@0.7-16 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-rcolorbrewer@1.1-3 r-randomforest@4.7-1.2 r-plotly@4.11.0 r-nnet@7.3-20 r-dplyr@1.1.4 r-corrplot@0.95 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinyr
Licenses: GPL 3
Build system: r
Synopsis: Data Insights Through Inbuilt R Shiny App
Description:

It builds dynamic R shiny based dashboards to analyze any CSV files. It provides simple dashboard design to subset the data, perform exploratory data analysis and preliminary machine learning (supervised and unsupervised). It also provides filters based on columns of interest.

r-sofia 1.0
Dependencies: circos@0.69-9
Propagated dependencies: r-png@0.1-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://cggl.horticulture.wisc.edu
Licenses: GPL 3
Build system: r
Synopsis: Making Sophisticated and Aesthetical Figures in R
Description:

Software that leverages the capabilities of Circos by manipulating data, preparing configuration files, and running the Perl-native Circos directly from the R environment with minimal user intervention. Circos is a novel software that addresses the challenges in visualizing genetic data by creating circular ideograms composed of tracks of heatmaps, scatter plots, line plots, histograms, links between common markers, glyphs, text, and etc. Please see <http://www.circos.ca>.

r-ss3sim 1.0.3
Propagated dependencies: r-r4ss@1.44.0 r-gtools@3.9.5 r-ggplot2@4.0.1 r-foreach@1.5.2 r-bbmle@1.0.25.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ss3sim/ss3sim
Licenses: Expat
Build system: r
Synopsis: Fisheries Stock Assessment Simulation Testing with Stock Synthesis
Description:

Develops a framework for fisheries stock assessment simulation testing with Stock Synthesis (SS) as described in Anderson et al. (2014) <doi:10.1371/journal.pone.0092725>.

r-sansa 0.0.1
Propagated dependencies: r-ggplot2@4.0.1 r-fnn@1.1.4.1 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=sansa
Licenses: GPL 3+
Build system: r
Synopsis: Synthetic Data Generation for Imbalanced Learning in 'R'
Description:

Machine learning is widely used in information-systems design. Yet, training algorithms on imbalanced datasets may severely affect performance on unseen data. For example, in some cases in healthcare, financial, or internet-security contexts, certain sub-classes are difficult to learn because they are underrepresented in training data. This R package offers a flexible and efficient solution based on a new synthetic average neighborhood sampling algorithm ('SANSA'), which, in contrast to other solutions, introduces a novel â placementâ parameter that can be tuned to adapt to each datasets unique manifestation of the imbalance. More information about the algorithm's parameters can be found at Nasir et al. (2022) <https://murtaza.cc/SANSA/>.

r-saccadr 0.1.3
Propagated dependencies: r-tidyr@1.3.1 r-signal@1.8-1 r-rlang@1.1.6 r-rcpp@1.1.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/alexander-pastukhov/saccadr/
Licenses: GPL 3+
Build system: r
Synopsis: Extract Saccades via an Ensemble of Methods Approach
Description:

This package provides a modular and extendable approach to extract (micro)saccades from gaze samples via an ensemble of methods. Although there is an agreement about a general definition of a saccade, the more specific details are harder to agree upon. Therefore, there are numerous algorithms that extract saccades based on various heuristics, which differ in the assumptions about velocity, acceleration, etc. The package uses three methods (Engbert and Kliegl (2003) <doi:10.1016/S0042-6989(03)00084-1>, Otero-Millan et al. (2014)<doi:10.1167/14.2.18>, and Nyström and Holmqvist (2010) <doi:10.3758/BRM.42.1.188>) to label individual samples and then applies a majority vote approach to identify saccades. The package includes three methods but can be extended via custom functions. It also uses a modular approach to compute velocity and acceleration from noisy samples. Finally, you can obtain methods votes per gaze sample instead of saccades.

r-skfcpd 0.2.4
Propagated dependencies: r-rlang@1.1.6 r-reshape2@1.4.5 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-fastgasp@0.6.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SKFCPD
Licenses: GPL 3+
Build system: r
Synopsis: Fast Online Changepoint Detection for Temporally Correlated Data
Description:

Sequential Kalman filter for scalable online changepoint detection by temporally correlated data. It enables fast single and multiple change points with missing values. See the reference: Hanmo Li, Yuedong Wang, Mengyang Gu (2023), <arXiv:2310.18611>.

r-sociome 3.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tidycensus@1.7.5 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-psych@2.5.6 r-mice@3.18.0 r-magrittr@2.0.4 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=sociome
Licenses: Expat
Build system: r
Synopsis: Operationalizing Social Determinants of Health Data for Researchers
Description:

Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.

r-sdsfun 0.8.1
Propagated dependencies: r-tibble@3.3.0 r-spdep@1.4-1 r-sf@1.0-23 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-pander@0.6.6 r-magrittr@2.0.4 r-geosphere@1.5-20 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://stscl.github.io/sdsfun/
Licenses: GPL 3
Build system: r
Synopsis: Spatial Data Science Complementary Features
Description:

Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.

r-sparsebiplots 4.1.1
Propagated dependencies: r-sparsepca@0.1.2 r-ggrepel@0.9.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mitzicubillamontilla/SparseBiplots
Licenses: GPL 3+
Build system: r
Synopsis: 'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'
Description:

The HJ-Biplot is a multivariate method that represents high-dimensional data in a low-dimensional subspace, capturing most of the informationâ s variability in just a few dimensions. This package implements three new regularized versions of the HJ-Biplot: Ridge, LASSO, and Elastic Net. These versions introduce restrictions that shrink or zero-out variable weights to improve interpretability based on regularization theory. All methods provide graphical representations using ggplot2'.

r-survah 1.2.0
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survAH
Licenses: GPL 2
Build system: r
Synopsis: Survival Data Analysis using Average Hazard
Description:

This package performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and Horiguchi (2023) <doi:10.1002/sim.9651>.

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-smpic 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-imager@1.0.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mikkelkrogsholm/smpic
Licenses: Expat
Build system: r
Synopsis: Creates Images Sized for Social Media
Description:

This package creates images that are the proper size for social media. Beautiful plots, charts and graphs wither and die if they are not shared. Social media is perfect for this but every platform has its own image dimensions. With smpic you can easily save your plots with the exact dimensions needed for the different platforms.

r-simed 2.0.2
Propagated dependencies: r-shape@1.4.6.1 r-rstream@1.3.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simEd
Licenses: Expat
Build system: r
Synopsis: Simulation Education
Description:

This package contains various functions to be used for simulation education, including simple Monte Carlo simulation functions, queueing simulation functions, variate generation functions capable of producing independent streams and antithetic variates, functions for illustrating random variate generation for various discrete and continuous distributions, and functions to compute time-persistent statistics. Also contains functions for visualizing: event-driven details of a single-server queue model; a Lehmer random number generator; variate generation via acceptance-rejection; and of generating a non-homogeneous Poisson process via thinning. Also contains two queueing data sets (one fabricated, one real-world) to facilitate input modeling. More details on the use of these functions can be found in Lawson and Leemis (2015) <doi:10.1109/WSC.2017.8248124>, in Kudlay, Lawson, and Leemis (2020) <doi:10.1109/WSC48552.2020.9384010>, and in Lawson and Leemis (2021) <doi:10.1109/WSC52266.2021.9715299>.

r-siera 0.5.5
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-readxl@1.4.5 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://clymbclinical.github.io/siera/
Licenses: Expat
Build system: r
Synopsis: Generate Analysis Results Programmes Using ARS Metadata
Description:

Analysis Results Standard (ARS), a foundational standard by CDISC (Clinical Data Interchange Standards Consortium), provides a logical data model for metadata describing all components to calculate Analysis Results. <https://www.cdisc.org/standards/foundational/analysis-results-standard> Using siera package, ARS metadata is ingested (JSON or Excel format), producing programmes to generate Analysis Results Datasets (ARDs).

r-shortcuts 1.4.0
Propagated dependencies: r-rstudioapi@0.17.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jcval94/shortcuts
Licenses: GPL 3
Build system: r
Synopsis: Useful Shortcuts to Interact with 'RStudio' Scripts
Description:

Integrates clipboard copied data in R Studio, loads and installs libraries within a R script and returns all valid arguments of a selected function.

r-seirfansy 1.1.1
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 r-pbapply@1.7-4 r-patchwork@1.3.2 r-magrittr@2.0.4 r-knitr@1.50 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-desctools@0.99.60 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/umich-biostatistics/SEIRfansy
Licenses: GPL 2
Build system: r
Synopsis: Extended Susceptible-Exposed-Infected-Recovery Model
Description:

Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symptom based administration of diagnostic tests. <doi:10.1101/2020.09.24.20200238>.

r-scenes 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-glue@1.8.0 r-cookies@0.2.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/r4ds/scenes
Licenses: Expat
Build system: r
Synopsis: Switch Between Alternative 'shiny' UIs
Description:

Sometimes it is useful to serve up alternative shiny UIs depending on information passed in the request object, such as the value of a cookie or a query parameter. This packages facilitates such switches.

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