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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-sdtmchecks 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-openxlsx@4.2.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://pharmaverse.github.io/sdtmchecks/
Licenses: FSDG-compatible
Build system: r
Synopsis: Data Quality Checks for Study Data Tabulation Model (SDTM) Datasets
Description:

This package provides a series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.

r-shinytime 1.0.3
Propagated dependencies: r-shiny@1.11.1 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://burgerga.github.io/shinyTime/
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Time Input Widget for Shiny
Description:

This package provides a time input widget for Shiny. This widget allows intuitive time input in the [hh]:[mm]:[ss] or [hh]:[mm] (24H) format by using a separate numeric input for each time component. The interface with R uses date-time objects. See the project page for more information and examples.

r-shapeselectforest 1.7
Propagated dependencies: r-raster@3.6-32 r-coneproj@1.23
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ShapeSelectForest
Licenses: GPL 2+
Build system: r
Synopsis: Shape Selection for Landsat Time Series of Forest Dynamics
Description:

Landsat satellites collect important data about global forest conditions. Documentation about Landsat's role in forest disturbance estimation is available at the site <https://landsat.gsfc.nasa.gov/>. By constrained quadratic B-splines, this package delivers an optimal shape-restricted trajectory to a time series of Landsat imagery for the purpose of modeling annual forest disturbance dynamics to behave in an ecologically sensible manner assuming one of seven possible "shapes", namely, flat, decreasing, one-jump (decreasing, jump up, decreasing), inverted vee (increasing then decreasing), vee (decreasing then increasing), linear increasing, and double-jump (decreasing, jump up, decreasing, jump up, decreasing). The main routine selects the best shape according to the minimum Bayes information criterion (BIC) or the cone information criterion (CIC), which is defined as the log of the estimated predictive squared error. The package also provides parameters summarizing the temporal pattern including year(s) of inflection, magnitude of change, pre- and post-inflection rates of growth or recovery. In addition, it contains routines for converting a flat map of disturbance agents to time-series disturbance maps and a graphical routine displaying the fitted trajectory of Landsat imagery.

r-seguid 0.1.0
Propagated dependencies: r-digest@0.6.39 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.seguid.org/
Licenses: Expat
Build system: r
Synopsis: Sequence Globally Unique Identifier (SEGUID) Checksums
Description:

Implementation of the original Sequence Globally Unique Identifier (SEGUID) algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support for linear, circular, single- and double-stranded biological sequences, e.g. DNA, RNA, and proteins.

r-scientific 2025.1
Propagated dependencies: r-xfun@0.54 r-rmarkdown@2.30 r-knitr@1.50 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://scientific.obi.obianom.com
Licenses: Expat
Build system: r
Synopsis: Two Highly Customizable 'rmarkdown' Themes for Scientific Reports
Description:

Offers markdown output formats designed with various styles, allowing users to generate HTML reports tailored for scientific or machine learning showcase. The output has a contemporary appearance with vibrant visuals, providing numerous styles for effective highlighting. Created using the tufte <https://rstudio.github.io/tufte/> package code as a starting point.

r-shp2graph 1-0
Propagated dependencies: r-sp@2.2-0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shp2graph
Licenses: GPL 2+
Build system: r
Synopsis: Convert a 'SpatialLinesDataFrame' -Class Object to an 'igraph'-Class Object
Description:

This package provides functions for converting and processing network data from a SpatialLinesDataFrame -Class object to an igraph'-Class object.

r-shinypredict 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinyPredict
Licenses: GPL 2
Build system: r
Synopsis: Predictions using Shiny
Description:

This package creates shiny application ('app.R') for making predictions based on lm(), glm(), or coxph() models.

r-smacpod 2.6.4
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-smerc@1.8.4 r-plotrix@3.8-13 r-pbapply@1.7-4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smacpod
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Methods for the Analysis of Case-Control Point Data
Description:

Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.

r-spant 3.9.0
Propagated dependencies: r-stringr@1.6.0 r-signal@1.8-1 r-rniftyreg@2.8.5 r-rnifti@1.8.0 r-ptw@1.9-16 r-pracma@2.4.6 r-plyr@1.8.9 r-pbapply@1.7-4 r-numderiv@2016.8-1.1 r-nloptr@2.2.1 r-mmand@1.6.3 r-minpack-lm@1.2-4 r-jsonlite@2.0.0 r-irlba@2.3.5.1 r-fields@17.1 r-expm@1.0-0 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://spantdoc.wilsonlab.co.uk/
Licenses: GPL 3
Build system: r
Synopsis: MR Spectroscopy Analysis Tools
Description:

This package provides tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.

r-spatstat-local 5.1-0
Propagated dependencies: r-tensor@1.5.1 r-spatstat-utils@3.2-0 r-spatstat-univar@3.1-5 r-spatstat-sparse@3.1-0 r-spatstat-random@3.4-3 r-spatstat-model@3.5-0 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat-data@3.1-9 r-spatstat@3.4-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spatstat.local
Licenses: GPL 2+
Build system: r
Synopsis: Extension to 'spatstat' for Local Composite Likelihood
Description:

Extension to the spatstat package, enabling the user to fit point process models to point pattern data by local composite likelihood ('geographically weighted regression').

r-spatialvx 1.0-3
Propagated dependencies: r-waveslim@1.8.5 r-turboem@2025.1 r-spatstat-model@3.5-0 r-spatstat-linnet@3.3-2 r-spatstat-geom@3.6-1 r-spatstat@3.4-1 r-smoothie@1.0-4 r-smatr@3.4-8 r-maps@3.4.3 r-fields@17.1 r-fastcluster@1.3.0 r-distillery@1.2-2 r-circstats@0.2-7 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpatialVx
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Forecast Verification
Description:

Spatial forecast verification refers to verifying weather forecasts when the verification set (forecast and observations) is on a spatial field, usually a high-resolution gridded spatial field. Most of the functions here require the forecast and observed fields to be gridded and on the same grid. For a thorough review of most of the methods in this package, please see Gilleland et al. (2009) <doi: 10.1175/2009WAF2222269.1> and for a tutorial on some of the main functions available here, see Gilleland (2022) <doi: 10.5065/4px3-5a05>.

r-shinycroneditor 1.0.0
Propagated dependencies: r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinycroneditor
Licenses: GPL 3+
Build system: r
Synopsis: 'shiny' Cron Expression Input Widget
Description:

This package provides a widget for shiny apps to handle schedule expression input, using the cron-expression-input JavaScript component. Note that this does not edit the crontab file, it is just an input element for the schedules. See <https://github.com/DatalabFabriek/shinycroneditor/blob/main/inst/examples/shiny-app.R> for an example implementation.

r-semeffect 1.2.3
Propagated dependencies: r-tidyr@1.3.1 r-rcolorbrewer@1.1-3 r-plspm@0.6.0 r-piecewisesem@2.3.1 r-lavaan@0.6-20 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/PhDMeiwp/semEffect/
Licenses: GPL 3
Build system: r
Synopsis: Structural Equation Model Effect Analysis and Visualization
Description:

This package provides standardized effect decomposition (direct, indirect, and total effects) for three major structural equation modeling frameworks: lavaan', piecewiseSEM', and plspm'. Automatically handles zero-effect variables, generates publication-ready ggplot2 visualizations, and returns both wide-format and long-format effect tables. Supports effect filtering, multi-model object inputs, and customizable visualization parameters. For a general overview of the methods used in this package, see Rosseel (2012) <doi:10.18637/jss.v048.i02> and Lefcheck (2016) <doi:10.1111/2041-210X.12512>.

r-spades 2.0.11
Propagated dependencies: r-spades-tools@2.1.1 r-spades-core@3.0.4 r-reproducible@3.0.0 r-quickplot@1.0.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://spades.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Develop and Run Spatially Explicit Discrete Event Simulation Models
Description:

Metapackage for implementing a variety of event-based models, with a focus on spatially explicit models. These include raster-based, event-based, and agent-based models. The core simulation components (provided by SpaDES.core') are built upon a discrete event simulation (DES; see Matloff (2011) ch 7.8.3 <https://nostarch.com/artofr.htm>) framework that facilitates modularity, and easily enables the user to include additional functionality by running user-built simulation modules (see also SpaDES.tools'). Included are numerous tools to visualize rasters and other maps (via quickPlot'), and caching methods for reproducible simulations (via reproducible'). Tools for running simulation experiments are provided by SpaDES.experiment'. Additional functionality is provided by the SpaDES.addins and SpaDES.shiny packages.

r-slim 0.1.1
Propagated dependencies: r-mass@7.3-65 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=slim
Licenses: GPL 3
Build system: r
Synopsis: Singular Linear Models for Longitudinal Data
Description:

Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.

r-semdrw 0.1.0
Propagated dependencies: r-shinyace@0.4.4 r-shiny@1.11.1 r-semtools@0.5-7 r-semplot@1.1.7 r-psych@2.5.6 r-lavaan@0.6-20 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=semdrw
Licenses: GPL 2
Build system: r
Synopsis: 'SEM Shiny'
Description:

Interactive shiny application for working with Structural Equation Modelling technique. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/semwebappk/> .

r-simmr 0.5.1.217
Propagated dependencies: r-viridis@0.6.5 r-reshape2@1.4.5 r-rcppdist@0.1.1.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r2jags@0.8-9 r-ggplot2@4.0.1 r-ggally@2.4.0 r-compositions@2.0-9 r-checkmate@2.3.3 r-boot@1.3-32 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/andrewcparnell/simmr
Licenses: GPL 2+
Build system: r
Synopsis: Stable Isotope Mixing Model
Description:

Fits Stable Isotope Mixing Models (SIMMs) and is meant as a longer term replacement to the previous widely-used package SIAR. SIMMs are used to infer dietary proportions of organisms consuming various food sources from observations on the stable isotope values taken from the organisms tissue samples. However SIMMs can also be used in other scenarios, such as in sediment mixing or the composition of fatty acids. The main functions are simmr_load() and simmr_mcmc(). The two vignettes contain a quick start and a full listing of all the features. The methods used are detailed in the papers Parnell et al 2010 <doi:10.1371/journal.pone.0009672>, and Parnell et al 2013 <doi:10.1002/env.2221>.

r-scoredec 0.1.2
Propagated dependencies: r-rfast@2.1.5.2 r-rcpp@1.1.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/cadam00/scoredec
Licenses: GPL 3
Build system: r
Synopsis: S-Core Graph Decomposition
Description:

S-Core Graph Decomposition algorithm for graphs. This is a method for decomposition of a weighted graph, as proposed by Eidsaa and Almaas (2013) <doi:10.1103/PhysRevE.88.062819>. The high speed and the low memory usage make it suitable for large graphs.

r-ssrmst 0.1.1
Propagated dependencies: r-survrm2@1.0-4 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=SSRMST
Licenses: GPL 2
Build system: r
Synopsis: Sample Size Calculation using Restricted Mean Survival Time
Description:

Calculates the power and sample size based on the difference in Restricted Mean Survival Time.

r-seedimbibition 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SeedImbibition
Licenses: GPL 3
Build system: r
Synopsis: Seed Imbibition Percentage
Description:

Imbibition causes seeds to expand, which results in the seed coat or testa being broken. Seed germination begins with imbibition. Imbibition aids in the transport of water into the developing ovules. Imbibition is required during the first stages of root water absorption.

r-simputation 0.2.9
Propagated dependencies: r-vim@6.2.6 r-rpart@4.1.24 r-randomforest@4.7-1.2 r-norm@1.0-11.1 r-missforest@1.6.1 r-mass@7.3-65 r-gower@1.0.2 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/markvanderloo/simputation
Licenses: GPL 3
Build system: r
Synopsis: Simple Imputation
Description:

Easy to use interfaces to a number of imputation methods that fit in the not-a-pipe operator of the magrittr package.

r-shinydrive 0.1.5
Propagated dependencies: r-zip@2.3.3 r-yaml@2.3.10 r-shiny@1.11.1 r-r-utils@2.13.0 r-knitr@1.50 r-htmltools@0.5.8.1 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinydrive
Licenses: GPL 3
Build system: r
Synopsis: File Sharing Shiny Module
Description:

Shiny module for easily sharing files between users. Admin can add, remove, edit and download file. User can only download file. It's also possible to manage files using R functions directly.

r-ssgl 2.0
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-grpreg@3.5.0 r-gigrvg@0.8 r-foreach@1.5.2 r-dorng@1.8.6.2 r-doparallel@1.0.17 r-caret@7.0-1 r-bayeslogit@2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SSGL
Licenses: GPL 3
Build system: r
Synopsis: Spike-and-Slab Group Lasso for Group-Regularized Generalized Linear Models
Description:

Fits group-regularized generalized linear models (GLMs) using the spike-and-slab group lasso (SSGL) prior of Bai et al. (2022) <doi:10.1080/01621459.2020.1765784> and extended to GLMs by Bai (2023) <doi:10.48550/arXiv.2007.07021>. This package supports fitting the SSGL model for the following GLMs with group sparsity: Gaussian linear regression, binary logistic regression, and Poisson regression.

r-sparsegl 1.1.1
Propagated dependencies: r-tidyr@1.3.1 r-rspectra@0.16-2 r-rlang@1.1.6 r-matrix@1.7-4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dotcall64@1.2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/dajmcdon/sparsegl
Licenses: Expat
Build system: r
Synopsis: Sparse Group Lasso
Description:

Efficient implementation of sparse group lasso with optional bound constraints on the coefficients; see <doi:10.18637/jss.v110.i06>. It supports the use of a sparse design matrix as well as returning coefficient estimates in a sparse matrix. Furthermore, it correctly calculates the degrees of freedom to allow for information criteria rather than cross-validation with very large data. Finally, the interface to compiled code avoids unnecessary copies and allows for the use of long integers.

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