_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-shadowr 0.0.2
Propagated dependencies: r-rselenium@1.7.9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ricilandolt/shadowr
Licenses: ASL 2.0
Build system: r
Synopsis: Selenium Plugin to Manage Multi Level Shadow Elements on Web Page
Description:

Shadow Document Object Model is a web standard that offers component style and markup encapsulation. It is a critically important piece of the Web Components story as it ensures that a component will work in any environment even if other CSS or JavaScript is at play on the page. Custom HTML tags can't be directly identified with selenium tools, because Selenium doesn't provide any way to deal with shadow elements. Using this plugin you can handle any custom HTML tags.

r-signnet 1.0.6
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/schochastics/signnet
Licenses: Expat
Build system: r
Synopsis: Methods to Analyse Signed Networks
Description:

This package provides methods for the analysis of signed networks. This includes several measures for structural balance as introduced by Cartwright and Harary (1956) <doi:10.1037/h0046049>, blockmodeling algorithms from Doreian (2008) <doi:10.1016/j.socnet.2008.03.005>, various centrality indices, and projections of signed two-mode networks introduced by Schoch (2020) <doi:10.1080/0022250X.2019.1711376>.

r-spell-replacer 1.0.1
Propagated dependencies: r-textclean@0.9.3 r-stringr@1.6.0 r-stringdist@0.9.15 r-hunspell@3.0.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spell.replacer
Licenses: Expat
Build system: r
Synopsis: Probabilistic Spelling Correction in a Character Vector
Description:

Automatically replaces "misspelled" words in a character vector based on their string distance from a list of words sorted by their frequency in a corpus. The default word list provided in the package comes from the Corpus of Contemporary American English. Uses the Jaro-Winkler distance metric for string similarity as implemented in van der Loo (2014) <doi:10.32614/RJ-2014-011>. The word frequency data is derived from Davies (2008-) "The Corpus of Contemporary American English (COCA)" <https://www.english-corpora.org/coca/>.

r-sdprism2d 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SDPrism2D
Licenses: GPL 3
Build system: r
Synopsis: Visualizing the Standard Deviation as the Size of a Prism
Description:

We visualize the standard deviation of a data set as the size of a prism whose volume equals the total volume of several prisms made from the Empirical Cumulative Distribution Function.

r-sfcurve 1.0.0
Propagated dependencies: r-rcpp@1.1.0 r-colorramp2@0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jokergoo/sfcurve
Licenses: Expat
Build system: r
Synopsis: 2x2, 3x3 and Nxn Space-Filling Curves
Description:

Implementation of all possible forms of 2x2 and 3x3 space-filling curves, i.e., the generalized forms of the Hilbert curve <https://en.wikipedia.org/wiki/Hilbert_curve>, the Peano curve <https://en.wikipedia.org/wiki/Peano_curve> and the Peano curve in the meander type (Figure 5 in <https://eudml.org/doc/141086>). It can generates nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve.

r-surrogateseq 1.1
Propagated dependencies: r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SurrogateSeq
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Group Sequential Testing of a Treatment Effect Using a Surrogate Marker
Description:

This package provides functions to implement group sequential procedures that allow for early stopping to declare efficacy using a surrogate marker and the possibility of futility stopping. More details are available in: Parast, L. and Bartroff, J (2024) <doi:10.1093/biomtc/ujae108>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogateseq>. A Shiny App implementing the methods can be found at <https://parastlab.shinyapps.io/SurrogateSeqApp/>.

r-spiritr 0.1.1
Propagated dependencies: r-xml2@1.5.0 r-magrittr@2.0.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/awconway/spiritR
Licenses: Expat
Build system: r
Synopsis: Template for Clinical Trial Protocol
Description:

This package contains an R Markdown template for a clinical trial protocol adhering to the SPIRIT statement. The SPIRIT (Standard Protocol Items for Interventional Trials) statement outlines recommendations for a minimum set of elements to be addressed in a clinical trial protocol. Also contains functions to create a xml document from the template and upload it to clinicaltrials.gov<https://www.clinicaltrials.gov/> for trial registration.

r-shiny-ollama 0.1.1
Propagated dependencies: r-shiny@1.11.1 r-mockery@0.4.5 r-markdown@2.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.indraneelchakraborty.com/shiny.ollama/
Licenses: FSDG-compatible
Build system: r
Synopsis: R 'shiny' Interface for Chatting with Large Language Models Offline on Local with 'ollama'
Description:

Chat with large language models on your machine without internet with complete privacy via ollama', powered by R shiny interface. For more information on ollama', visit <https://ollama.com>.

r-samplesizesinglearmsurvival 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SampleSizeSingleArmSurvival
Licenses: Expat
Build system: r
Synopsis: Calculate Sample Size for Single-Arm Survival Studies
Description:

This package provides methods to calculate sample size for single-arm survival studies using the arcsine transformation, incorporating uniform accrual and exponential survival assumptions. Includes functionality for detailed numerical integration and simulation. This method is based on Nagashima et al. (2021) <doi:10.1002/pst.2090>.

r-scpi 3.0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-rdpack@2.6.4 r-qtools@1.6.0 r-purrr@1.2.0 r-matrix@1.7-4 r-mass@7.3-65 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-foreach@1.5.2 r-fastdummies@1.7.5 r-ecosolver@0.5.5 r-dplyr@1.1.4 r-dosnow@1.0.20 r-cvxr@1.0-15 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://nppackages.github.io/scpi/
Licenses: GPL 2
Build system: r
Synopsis: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Description:

Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <doi:10.1080/01621459.2021.1979561> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2025) <doi:10.1162/rest_a_01588> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2025) <doi:10.18637/jss.v113.i01>.

r-spbsampling 1.3.5
Propagated dependencies: r-rcpparmadillo@15.2.2-1 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=Spbsampling
Licenses: GPL 3
Build system: r
Synopsis: Spatially Balanced Sampling
Description:

Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples well spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Pantalone F, Benedetti R, and Piersimoni F (2022) <doi:10.18637/jss.v103.c02>, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194>, and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of Rcpp and RcppArmadillo'.

r-slimrec 0.1.0
Propagated dependencies: r-pbapply@1.7-4 r-matrix@1.7-4 r-glmnet@4.1-10 r-bigmemory@4.6.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=slimrec
Licenses: GPL 3
Build system: r
Synopsis: Sparse Linear Method to Predict Ratings and Top-N Recommendations
Description:

Sparse Linear Method(SLIM) predicts ratings and top-n recommendations suited for sparse implicit positive feedback systems. SLIM is decomposed into multiple elasticnet optimization problems which are solved in parallel over multiple cores. The package is based on "SLIM: Sparse Linear Methods for Top-N Recommender Systems" by Xia Ning and George Karypis <doi:10.1109/ICDM.2011.134>.

r-spinar 0.2.0
Propagated dependencies: r-progress@1.2.3 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/MFaymon/spINAR
Licenses: GPL 3+
Build system: r
Synopsis: (Semi)Parametric Estimation and Bootstrapping of INAR Models
Description:

Semiparametric and parametric estimation of INAR models including a finite sample refinement (Faymonville et al. (2022) <doi:10.1007/s10260-022-00655-0>) for the semiparametric setting introduced in Drost et al. (2009) <doi:10.1111/j.1467-9868.2008.00687.x>, different procedures to bootstrap INAR data (Jentsch, C. and Weià , C.H. (2017) <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data.

r-scdb 0.6.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-parallelly@1.45.1 r-openssl@2.3.4 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ssi-dk/SCDB
Licenses: GPL 3
Build system: r
Synopsis: Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)
Description:

This package provides a collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).

r-slp 1.0-5
Propagated dependencies: r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=slp
Licenses: GPL 2+
Build system: r
Synopsis: Discrete Prolate Spheroidal (Slepian) Sequence Regression Smoothers
Description:

Interface for creation of slp class smoother objects for use in Generalized Additive Models (as implemented by packages gam and mgcv').

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-sft 2.4
Propagated dependencies: r-suppdists@1.1-9.9 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sft
Licenses: GPL 2+
Build system: r
Synopsis: Functions for Systems Factorial Technology Analysis of Data
Description:

This package provides a series of tools for analyzing Systems Factorial Technology data. This includes functions for plotting and statistically testing capacity coefficient functions and survivor interaction contrast functions. Houpt, Blaha, McIntire, Havig, and Townsend (2013) <doi:10.3758/s13428-013-0377-3> provide a basic introduction to Systems Factorial Technology along with examples using the sft R package.

r-sensr 1.5-3
Propagated dependencies: r-numderiv@2016.8-1.1 r-multcomp@1.4-29 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/aigorahub/sensR
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Thurstonian Models for Sensory Discrimination
Description:

This package provides methods for sensory discrimination methods; duotrio, tetrad, triangle, 2-AFC, 3-AFC, A-not A, same-different, 2-AC and degree-of-difference. This enables the calculation of d-primes, standard errors of d-primes, sample size and power computations, and comparisons of different d-primes. Methods for profile likelihood confidence intervals and plotting are included. Most methods are described in Brockhoff, P.B. and Christensen, R.H.B. (2010) <doi:10.1016/j.foodqual.2009.04.003>.

r-speedycode 0.3.0
Propagated dependencies: r-stringr@1.6.0 r-purrr@1.2.0 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=speedycode
Licenses: GPL 3
Build system: r
Synopsis: Automate Code for Adding Labels, Recoding and Renaming Variables, and Converting ASCII Files
Description:

Label, recode, rename, and convert datasets and ASCII files more efficiently. speedycode automates the code necessary for labeling variables with the labelled package, recoding and renaming variables with dplyr syntax, and converting ASCII files with the readroper package. Most functions require only the name of the dataset and the code will be automatically written. Some convenience functions useful for converting ASCII files are also included.

r-staticryptr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=staticryptR
Licenses: Expat
Build system: r
Synopsis: Encrypt HTML Files Using 'staticrypt'
Description:

This package provides a convenient interface to the staticrypt by Robin Moisson <https://github.com/robinmoisson/staticrypt>---'Node.js package for adding a password protection layer to static HTML pages. This package can be integrated into the post-render process of quarto documents to secure them with a password.

r-statnipokladna 0.7.7
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/petrbouchal/statnipokladna
Licenses: Expat
Build system: r
Synopsis: Use Data from the Czech Public Finance Database
Description:

Get programmatic access to data from the Czech public budgeting and accounting database, Státnà pokladna <https://monitor.statnipokladna.gov.cz/>.

r-spinner 1.1.1
Propagated dependencies: r-torch@0.16.3 r-tictoc@1.2.1 r-rlist@0.4.6.2 r-readr@2.1.6 r-purrr@1.2.0 r-lubridate@1.9.4 r-igraph@2.2.1 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-fastdummies@1.7.5 r-entropy@1.3.2 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://rpubs.com/giancarlo_vercellino/spinner
Licenses: GPL 3
Build system: r
Synopsis: An Implementation of Graph Net Architecture Based on 'torch'
Description:

Proposes a torch implementation of Graph Net architecture allowing different options for message passing and feature embedding.

r-survparamsim 0.1.7
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-rlang@1.1.6 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-forcats@1.0.1 r-eha@2.11.5 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/yoshidk6/survParamSim
Licenses: GPL 3
Build system: r
Synopsis: Parametric Survival Simulation with Parameter Uncertainty
Description:

Perform survival simulation with parametric survival model generated from survreg function in survival package. In each simulation coefficients are resampled from variance-covariance matrix of parameter estimates to capture uncertainty in model parameters. Prediction intervals of Kaplan-Meier estimates and hazard ratio of treatment effect can be further calculated using simulated survival data.

r-spsurvey 5.6.0
Propagated dependencies: r-units@1.0-0 r-survey@4.4-8 r-sf@1.0-23 r-sampling@2.11 r-mass@7.3-65 r-lme4@1.1-37 r-deldir@2.0-4 r-crossdes@1.1-2 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://usepa.github.io/spsurvey/
Licenses: GPL 3+
Build system: r
Synopsis: Spatial Sampling Design and Analysis
Description:

This package provides a design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more. For additional details, see Dumelle et al. (2023) <doi:10.18637/jss.v105.i03>.

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