_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-spacci 1.0.5
Propagated dependencies: r-seurat@5.5.0 r-rlang@1.2.0 r-reshape2@1.4.5 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-pheatmap@1.0.13 r-patchwork@1.3.2 r-nnls@1.6 r-matrix@1.7-5 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-fnn@1.1.4.1 r-dplyr@1.2.1 r-circlize@0.4.18
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpaCCI
Licenses: GPL 2+
Build system: r
Synopsis: Spatially Aware Cell-Cell Interaction Analysis
Description:

This package provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like CellChat <https://github.com/jinworks/CellChat>, CellPhoneDB <https://www.cellphonedb.org/>, Cellinker <https://www.rna-society.org/cellinker/>, ICELLNET <https://github.com/soumelis-lab/ICELLNET>, and ConnectomeDB <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.

r-spant 4.2.0
Propagated dependencies: r-stringr@1.6.0 r-signal@1.8-1 r-rniftyreg@2.8.5 r-rnifti@1.9.0 r-ptw@1.9-17 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@1.7.0 r-minpack-lm@1.2-4 r-jsonlite@2.0.0 r-irlba@2.3.7 r-fields@17.3 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-stacomirtools 0.6.0.1
Propagated dependencies: r-xtable@1.8-8 r-rpostgres@1.4.10 r-rodbc@1.3-26.1 r-pool@1.0.5 r-dbi@1.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stacomirtools
Licenses: GPL 2+
Build system: r
Synopsis: Connection Class for Package stacomiR
Description:

S4 class wrappers for the ODBC and Pool DBI connection, also provides some utilities to paste small datasets to clipboard, rename columns. It is used by the package stacomiR for connections to the database. Development versions of stacomiR are available in R-forge.

r-snplinkage 1.2.0
Propagated dependencies: r-snprelate@1.46.0 r-reshape2@1.4.5 r-magrittr@2.0.5 r-knitr@1.51 r-gwastools@1.58.0 r-gtable@0.3.6 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-gdsfmt@1.48.1 r-data-table@1.18.4 r-cowplot@1.2.0 r-biomart@2.68.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gitlab.com/thomaschln/snplinkage
Licenses: GPL 3
Build system: r
Synopsis: Single Nucleotide Polymorphisms Linkage Disequilibrium Visualizations
Description:

Linkage disequilibrium visualizations of up to several hundreds of single nucleotide polymorphisms (SNPs), annotated with chromosomic positions and gene names. Two types of plots are available for small numbers of SNPs (<40) and for large numbers (tested up to 500). Both can be extended by combining other ggplots, e.g. association studies results, and functions enable to directly visualize the effect of SNP selection methods, as minor allele frequency filtering and TagSNP selection, with a second correlation heatmap. The SNPs correlations are computed on Genotype Data objects from the GWASTools package using the SNPRelate package, and the plots are customizable ggplot2 and gtable objects and are annotated using the biomaRt package. Usage is detailed in the vignette with example data and results from up to 500 SNPs of 1,200 scans are in Charlon T. (2019) <doi:10.13097/archive-ouverte/unige:161795>.

r-surf-vs 1.1.0.1
Propagated dependencies: r-survival@3.8-6 r-glmnet@5.0 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SuRF.vs
Licenses: GPL 3
Build system: r
Synopsis: Subsampling Ranking Forward Selection (SuRF)
Description:

This package performs variable selection based on subsampling, ranking forward selection. Details of the method are published in Lihui Liu, Hong Gu, Johan Van Limbergen, Toby Kenney (2020) SuRF: A new method for sparse variable selection, with application in microbiome data analysis Statistics in Medicine 40 897-919 <doi:10.1002/sim.8809>. Xo is the matrix of predictor variables. y is the response variable. Currently only binary responses using logistic regression are supported. X is a matrix of additional predictors which should be scaled to have sum 1 prior to analysis. fold is the number of folds for cross-validation. Alpha is the parameter for the elastic net method used in the subsampling procedure: the default value of 1 corresponds to LASSO. prop is the proportion of variables to remove in the each subsample. weights indicates whether observations should be weighted by class size. When the class sizes are unbalanced, weighting observations can improve results. B is the number of subsamples to use for ranking the variables. C is the number of permutations to use for estimating the critical value of the null distribution. If the doParallel package is installed, the function can be run in parallel by setting ncores to the number of threads to use. If the default value of 1 is used, or if the doParallel package is not installed, the function does not run in parallel. display.progress indicates whether the function should display messages indicating its progress. family is a family variable for the glm() fitting. Note that the glmnet package does not permit the use of nonstandard link functions, so will always use the default link function. However, the glm() fitting will use the specified link. The default is binomial with logistic regression, because this is a common use case. pval is the p-value for inclusion of a variable in the model. Under the null case, the number of false positives will be geometrically distributed with this as probability of success, so if this parameter is set to p, the expected number of false positives should be p/(1-p).

r-shred 1.0.0
Propagated dependencies: r-clustofvar@1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SHRED
Licenses: GPL 3
Build system: r
Synopsis: Setwise Hierarchical Rate of Erroneous Discovery
Description:

Setwise Hierarchical Rate of Erroneous Discovery (SHRED) methods for setwise variable selection with false discovery rate (FDR) control. Setwise variable selection means that sets of variables may be selected when the true variable cannot be identified. This allows us to maintain FDR control but increase power. Details of the SHRED methods are in Organ, Kenney & Gu (2026) <doi:10.48550/arXiv.2603.02160>.

r-symbol-equation-gpt 1.1.4
Propagated dependencies: r-shinystoreplus@1.6 r-shiny@1.13.0 r-rstudioapi@0.18.0 r-r2symbols@1.4 r-nextgenshinyapps@2.1 r-markdown@2.0 r-htmltools@0.5.9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://symbols-ui.obi.obianom.com
Licenses: Expat
Build system: r
Synopsis: Simple User Interface to Build Equations and Add Symbols
Description:

Powerful user interface for adding symbols, smileys, arrows, building mathematical equations using LaTeX or r2symbols'. Built for use in development of Markdown and Shiny Outputs.

r-sqlrender 1.19.5
Dependencies: openjdk@25.0.2
Propagated dependencies: r-rlang@1.2.0 r-rjava@1.0-18 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://ohdsi.github.io/SqlRender/
Licenses: ASL 2.0
Build system: r
Synopsis: Rendering Parameterized SQL and Translation to Dialects
Description:

This package provides a rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include Microsoft SQL Server', Oracle', PostgreSql', Amazon RedShift', Apache Impala', IBM Netezza', Google BigQuery', Microsoft PDW', Snowflake', Azure Synapse Analytics Dedicated', Apache Spark', SQLite', and InterSystems IRIS'.

r-spboost 0.7.0
Propagated dependencies: r-xgboost@3.2.1.1 r-sf@1.1-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1 r-nabor@0.5.0 r-mgwrsar@1.3.2 r-mgcv@1.9-4 r-mboost@2.9-11 r-matrix@1.7-5 r-mass@7.3-65 r-foreach@1.5.2 r-earth@5.3.5 r-doparallel@1.0.17 r-data-table@1.18.4 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=spboost
Licenses: GPL 2+
Build system: r
Synopsis: Gradient Boosting for Nonlinear Spatial Autoregressive Models
Description:

Flexible nonlinear extension of spatial autoregressive (SAR), spatial error (SEM), and spatial autoregressive with autoregressive disturbances (SARAR) models with multiple regression engines (generalized additive models ('mgcv'), gradient boosting ('mboost'), multivariate adaptive regression splines ('earth'), and xgboost') and two families of spatial-parameter estimators: maximum likelihood and the determinant-free Closed-Form Estimator of Smirnov (2020) <doi:10.1111/gean.12268>. See Geniaux G. (2026). "Flexible nonlinear spatial autoregressive models: a gradient boosting approach with closed-form estimation." Presented at Spatial Econometrics World Congress (SEA/SEW 2026, Paris), unpublished.

r-selectboost-fda 0.5.0
Propagated dependencies: r-selectboost@2.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://fbertran.github.io/SelectBoost.FDA/
Licenses: GPL 3
Build system: r
Synopsis: SelectBoost-Style Variable Selection for Functional Data Analysis
Description:

This package implements SelectBoost'-style variable selection workflows for functional data analysis. The package provides FDA-native design and preprocessing objects for raw curves, spline-basis expansions, Functional principal component analysis scores, and scalar covariates; grouped stability-selection routines based on repeated subject-level subsampling; multiple selector backends including lasso, group lasso, and sparse-group lasso; FDA-aware grouping functions and calibration helpers for SelectBoost'; method-comparison utilities; a formula interface; simulation, benchmarking, and validation helpers with mapped ground truth; targeted sensitivity-study utilities and shipped benchmark summaries for mean F1 comparisons between FDA-aware and plain SelectBoost workflows; small example datasets; and an optional adapter to the native stability-selection interface from the FDboost package.

r-scraep 1.2
Propagated dependencies: r-xml2@1.5.2 r-xml@3.99-0.23 r-rvest@1.0.5 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scraEP
Licenses: GPL 3+
Build system: r
Synopsis: Scrape the Web with Extra Power
Description:

This package provides tools for scraping information from webpages and other XML contents, using XPath or CSS selectors.

r-splinetrials 0.1.1
Propagated dependencies: r-rlang@1.2.0 r-mmrm@0.3.18 r-emmeans@2.0.3 r-dplyr@1.2.1 r-cli@3.6.6 r-car@3.1-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/NikKrieger/splinetrials
Licenses: FSDG-compatible
Build system: r
Synopsis: Facilitate Clinical Trials Analysis Using Natural Cubic Splines
Description:

Create mixed models with repeated measures using natural cubic splines applied to an observed continuous time variable, as described by Donohue et al. (2023) <doi:10.1002/pst.2285>. Iterate through multiple covariance structure types until one converges. Categorize observed time according to scheduled visits. Perform subgroup analyses.

r-sascii 1.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ajdamico/SAScii
Licenses: GPL 2+
Build system: r
Synopsis: Import ASCII Files Directly into R using Only a 'SAS' Input Script
Description:

Using any importation code designed for SAS users to read ASCII files into sas7bdat files, this package parses through the INPUT block of a .sas syntax file to design the parameters needed for a read.fwf() function call. This allows the user to specify the location of the ASCII (often a .dat') file and the location of the SAS syntax file, and then load the data frame directly into R in just one step.

r-stringx 0.2.9
Propagated dependencies: r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://stringx.gagolewski.com/
Licenses: GPL 2+
Build system: r
Synopsis: Replacements for Base String Functions Powered by 'stringi'
Description:

English is the native language for only 5% of the World population. Also, only 17% of us can understand this text. Moreover, the Latin alphabet is the main one for merely 36% of the total. The early computer era, now a very long time ago, was dominated by the US. Due to the proliferation of the internet, smartphones, social media, and other technologies and communication platforms, this is no longer the case. This package replaces base R string functions (such as grep(), tolower(), sprintf(), and strptime()) with ones that fully support the Unicode standards related to natural language and date-time processing. It also fixes some long-standing inconsistencies, and introduces some new, useful features. Thanks to ICU (International Components for Unicode) and stringi', they are fast, reliable, and portable across different platforms.

r-sharppen 2.0
Propagated dependencies: r-np@0.70-2 r-matrix@1.7-5 r-locpol@0.9.0 r-kernsmooth@2.23-26 r-glmnet@5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sharpPen
Licenses: FSDG-compatible
Build system: r
Synopsis: Penalized Data Sharpening for Local Polynomial Regression
Description:

This package provides functions and data sets for data sharpening. Nonparametric regressions are computed subject to smoothness and other kinds of penalties.

r-str 0.7.1
Propagated dependencies: r-sparsem@1.84-2 r-quantreg@6.1 r-matrix@1.7-5 r-forecast@9.0.2 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://pkg.robjhyndman.com/stR/
Licenses: GPL 3
Build system: r
Synopsis: Seasonal Trend Decomposition Using Regression
Description:

This package provides methods for decomposing seasonal data: STR (a Seasonal-Trend time series decomposition procedure based on Regression) and Robust STR. In some ways, STR is similar to Ridge Regression and Robust STR can be related to LASSO. They allow for multiple seasonal components, multiple linear covariates with constant, flexible and seasonal influence. Seasonal patterns (for both seasonal components and seasonal covariates) can be fractional and flexible over time; moreover they can be either strictly periodic or have a more complex topology. The methods provide confidence intervals for the estimated components. The methods can also be used for forecasting.

r-sfadv 1.0.1
Propagated dependencies: r-minpack-lm@1.2-4 r-gmm@1.9-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sfadv
Licenses: GPL 3
Build system: r
Synopsis: Advanced Methods for Stochastic Frontier Analysis
Description:

Stochastic frontier analysis with advanced methods. In particular, it applies the approach proposed by Latruffe et al. (2017) <DOI:10.1093/ajae/aaw077> to estimate a stochastic frontier with technical inefficiency effects when one input is endogenous.

r-simpletex 1.0.5
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.8 r-glue@1.8.1 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-simrestore 1.1.5
Propagated dependencies: r-tibble@3.3.1 r-subplex@1.9 r-shiny@1.13.0 r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simRestore
Licenses: GPL 2+
Build system: r
Synopsis: Simulate the Effect of Management Policies on Restoration Efforts
Description:

Simulation methods to study the effect of management policies on efforts to restore populations back to their original genetic composition. Allows for single-scenario simulation and for optimization of specific chosen scenarios. Further information can be found in Hernandez, Janzen and Lavretsky (2023) <doi:10.1111/1755-0998.13892>.

r-sejmrp 1.3.4
Propagated dependencies: r-xml2@1.5.2 r-xml@3.99-0.23 r-tidyr@1.3.2 r-stringi@1.8.7 r-rvest@1.0.5 r-rpostgresql@0.7-8 r-factoextra@2.0.0 r-dplyr@1.2.1 r-dbi@1.3.0 r-cluster@2.1.8.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sejmRP
Licenses: GPL 2
Build system: r
Synopsis: An Information About Deputies and Votings in Polish Diet from Seventh to Eighth Term of Office
Description:

Set of functions that access information about deputies and votings in Polish diet from webpage <http://www.sejm.gov.pl>. The package was developed as a result of an internship in MI2 Group - <http://mi2.mini.pw.edu.pl>, Faculty of Mathematics and Information Science, Warsaw University of Technology.

r-spaddins 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-rstudioapi@0.18.0 r-purrr@1.2.2 r-magrittr@2.0.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/GegznaV/spAddins
Licenses: Expat
Build system: r
Synopsis: Set of RStudio Addins
Description:

This package provides a set of RStudio addins that are designed to be used in combination with user-defined RStudio keyboard shortcuts. These addins either: 1) insert text at a cursor position (e.g. insert operators %>%, <<-, %$%, etc.), 2) replace symbols in selected pieces of text (e.g., convert backslashes to forward slashes which results in stings like "c:\data\" converted into "c:/data/") or 3) enclose text with special symbols (e.g., converts "bold" into "**bold**") which is convenient for editing R Markdown files.

r-structenforcement 0.2.0
Propagated dependencies: r-rlang@1.2.0 r-lubridate@1.9.5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=structenforcement
Licenses: Expat
Build system: r
Synopsis: Struct-Like Data Type Checking and Enforcement
Description:

Enforcement of field types in lists. A drop-in tool to allow for dynamic input data that might be questionably parsed or cast to be coerced into the specific desired format in a reasonably performant manner.

r-spider 1.5.2
Propagated dependencies: r-pegas@1.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/boopsboops/spider
Licenses: Expat
Build system: r
Synopsis: Species Identity and Evolution in R
Description:

Analysis of species limits and DNA barcoding data. Included are functions for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, testing and optimizing divergence threshold limits, assessment of diagnostic nucleotides, and calculation of the probability of reciprocal monophyly. Additionally, a sliding window function offers opportunities to analyse information across a gene, often used for marker design in degraded DNA studies. Further information on the package has been published in Brown et al (2012) <doi:10.1111/j.1755-0998.2011.03108.x>.

r-spectralclmixed 1.0.2
Propagated dependencies: r-rspectra@0.16-2 r-ggplot2@4.0.3 r-ggally@2.4.0 r-cluster@2.1.8.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpectralClMixed
Licenses: GPL 2+
Build system: r
Synopsis: Spectral Clustering for Mixed Type Data
Description:

This package performs cluster analysis of mixed-type data using Spectral Clustering, see F. Mbuga and, C. Tortora (2022) <doi:10.3390/stats5010001>.

Total packages: 72465