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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-symbol-equation-gpt 1.1.4
Propagated dependencies: r-shinystoreplus@1.6 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-r2symbols@1.4 r-nextgenshinyapps@2.1 r-markdown@2.0 r-htmltools@0.5.8.1
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-selenider 0.4.1
Propagated dependencies: r-withr@3.0.2 r-vctrs@0.6.5 r-rlang@1.1.6 r-prettyunits@1.2.0 r-lifecycle@1.0.4 r-curl@7.0.0 r-coro@1.1.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ashbythorpe/selenider
Licenses: Expat
Build system: r
Synopsis: Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'
Description:

This package provides a user-friendly wrapper for web automation, using either chromote or selenium'. Provides a simple and consistent API to make web scraping and testing scripts easy to write and understand. Elements are lazy, and automatically wait for the website to be valid, resulting in reliable and reproducible code, with no visible impact on the experience of the programmer.

r-simico 0.2.0
Propagated dependencies: r-icskat@0.3.0 r-fastghquad@1.0.1 r-compquadform@1.4.4 r-bindata@0.9-24
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SIMICO
Licenses: GPL 3
Build system: r
Synopsis: Set-Based Inference for Multiple Interval-Censored Outcomes
Description:

This package contains tests for association between a set of genetic variants and multiple correlated outcomes that are interval censored. Interval-censored data arises when the exact time of the onset of an outcome of interest is unknown but known to fall between two time points.

r-samplezoo 1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/nvietto/samplezoo
Licenses: Expat
Build system: r
Synopsis: Generate Samples with a Variety of Probability Distributions
Description:

Simplifies the process of generating samples from a variety of probability distributions, allowing users to quickly create data frames for demonstrations, troubleshooting, or teaching purposes. Data is available in multiple sizesâ small, medium, and large. For more information, refer to the package documentation.

r-simmetric 0.1.1
Propagated dependencies: r-dplyr@1.1.4 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=simMetric
Licenses: Expat
Build system: r
Synopsis: Metrics (with Uncertainty) for Simulation Studies that Evaluate Statistical Methods
Description:

Allows users to quickly apply individual or multiple metrics to evaluate Monte Carlo simulation studies.

r-starwarsdb 0.1.3
Propagated dependencies: r-tibble@3.3.0 r-magrittr@2.0.4 r-duckdb@1.4.2 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/gadenbuie/starwarsdb
Licenses: Expat
Build system: r
Synopsis: Relational Data from the 'Star Wars' API for Learning and Teaching
Description:

This package provides data about the Star Wars movie franchise in a set of relational tables or as a complete DuckDB database. All data was collected from the open source Star Wars API.

r-sojourn-data 0.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/paulhibbing/Sojourn.Data
Licenses: GPL 3
Build system: r
Synopsis: Supporting Objects for Sojourn Accelerometer Methods
Description:

Stores objects (e.g. neural networks) that are needed for using Sojourn accelerometer methods. For more information, see 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-shinychakraslider 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-reactr@0.6.1 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/stla/shinyChakraSlider
Licenses: GPL 3
Build system: r
Synopsis: Combined Slider and Numeric Input for 'Shiny'
Description:

This package provides a combined slider and numeric input for usage in a Shiny app. The slider and the numeric input are linked together: each one is updated when the other one changes. Many styling properties are customizable (e.g. colors and size).

r-scepter 0.2-4
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SCEPtER
Licenses: GPL 2+
Build system: r
Synopsis: Stellar CharactEristics Pisa Estimation gRid
Description:

This package provides a pipeline for estimating the stellar age, mass, and radius given observational effective temperature, [Fe/H], and astroseismic parameters. The results are obtained adopting a maximum likelihood technique over a grid of pre-computed stellar models, as described in Valle et al. (2014) <doi:10.1051/0004-6361/201322210>.

r-sbim 1.0.0
Propagated dependencies: 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=sbim
Licenses: GPL 3+
Build system: r
Synopsis: Simulation-Based Inference using a Metamodel for Log-Likelihood Estimator
Description:

Parameter inference methods for models defined implicitly using a random simulator. Inference is carried out using simulation-based estimates of the log-likelihood of the data. The inference methods implemented in this package are explained in Park, J. (2025) <doi:10.48550/arxiv.2311.09446>. These methods are built on a simulation metamodel which assumes that the estimates of the log-likelihood are approximately normally distributed with the mean function that is locally quadratic around its maximum. Parameter estimation and uncertainty quantification can be carried out using the ht() function (for hypothesis testing) and the ci() function (for constructing a confidence interval for one-dimensional parameters).

r-svelteplots 0.1.0
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-padr@0.6.3 r-magrittr@2.0.4 r-htmlwidgets@1.6.4 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Pascal-Schmidt/SveltePlots
Licenses: Expat
Build system: r
Synopsis: Wrapper for a Svelte Custom Web Component
Description:

An interactive charting library built on Svelte and D3 to easily produce SVG charts in R. Designed to simplify shiny development by eliminating the need for renderUI(), insertUI(), removeUI(), and shiny proxy functions, using Svelte''s reactive state system instead.

r-spacetimebss 0.4-0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-jade@2.0-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpaceTimeBSS
Licenses: GPL 2+
Build system: r
Synopsis: Blind Source Separation for Multivariate Spatio-Temporal Data
Description:

Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.

r-spinbayes 0.2.2
Propagated dependencies: r-testthat@3.3.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jrhub/spinBayes
Licenses: GPL 2
Build system: r
Synopsis: Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection
Description:

Many complex diseases are known to be affected by the interactions between genetic variants and environmental exposures beyond the main genetic and environmental effects. Existing Bayesian methods for gene-environment (GÃ E) interaction studies are challenged by the high-dimensional nature of the study and the complexity of environmental influences. We have developed a novel and powerful semi-parametric Bayesian variable selection method that can accommodate linear and nonlinear GÃ E interactions simultaneously (Ren et al. (2020) <doi:10.1002/sim.8434>). Furthermore, the proposed method can conduct structural identification by distinguishing nonlinear interactions from main effects only case within Bayesian framework. Spike-and-slab priors are incorporated on both individual and group level to shrink coefficients corresponding to irrelevant main and interaction effects to zero exactly. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in C++.

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-semnar 0.8.2
Propagated dependencies: r-urlshortener@2.0.0 r-parsedate@1.3.2 r-lubridate@1.9.4 r-leaflet@2.2.3 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=semnar
Licenses: GPL 3
Build system: r
Synopsis: Constructing and Interacting with Databases of Presentations
Description:

This package provides methods for constructing and maintaining a database of presentations in R. The presentations are either ones that the user gives or gave or presentations at a particular event or event series. The package also provides a plot method for the interactive mapping of the presentations using leaflet by grouping them according to country, city, year and other presentation attributes. The markers on the map come with popups providing presentation details (title, institution, event, links to materials and events, and so on).

r-seasonder 0.2.8
Propagated dependencies: r-zoo@1.8-14 r-yaml@2.3.10 r-whisker@0.4.1 r-uuid@1.2-1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-slider@0.3.3 r-rlang@1.1.6 r-purrr@1.2.0 r-pracma@2.4.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-geosphere@1.5-20 r-dplyr@1.1.4 r-data-table@1.17.8 r-constants@2022.0 r-bitops@1.0-9 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/GOFUVI/SeaSondeR
Licenses: GPL 3+
Build system: r
Synopsis: Radial Metrics from SeaSonde HF-Radar Data
Description:

Read CODAR's SeaSonde High-Frequency Radar spectra files, compute radial metrics, and generate plots for spectra and antenna pattern data. Implementation is based in technical manuals, publications and patents, please refer to the following documents for more information: Barrick and Lipa (1999) <https://codar.com/images/about/patents/05990834.PDF>; CODAR Ocean Sensors (2002) <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/Informative/FirstOrder_Settings.pdf>; Lipa et al. (2006) <doi:10.1109/joe.2006.886104>; Paolo et al. (2007) <doi:10.1109/oceans.2007.4449265>; CODAR Ocean Sensors (2009a) <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/GuidesToFileFormats/File_AntennaPattern.pdf>; CODAR Ocean Sensors (2009b) <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/GuidesToFileFormats/File_CrossSpectraReduced.pdf>; CODAR Ocean Sensors (2016a) <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Manuals_Documentation_Release_8/File_Formats/File_Cross_Spectra_V6.pdf>; CODAR Ocean Sensors (2016b) <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Manuals_Documentation_Release_8/File_Formats/FIle_Reduced_Spectra.pdf>; CODAR Ocean Sensors (2016c) <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Manuals_Documentation_Release_8/Application_Guides/Guide_SpectraPlotterMap.pdf>; Bushnell and Worthington (2022) <doi:10.25923/4c5x-g538>.

r-smvgraph 0.1.2
Propagated dependencies: r-sortable@0.6.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-mass@7.3-65 r-fmsb@0.7.6 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smvgraph
Licenses: GPL 3
Build system: r
Synopsis: Various Multivariate Graphics with Variable Choice in Shiny Apps
Description:

Mosaic diagram, scatterplot matrix, Andrews curves, parallel coordinate diagram, radar diagram, and Chernoff plots as a Shiny app, which allow the order of variables to be changed interactively. The apps are intended as teaching examples.

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-sarp-snowprofile 1.4.1
Propagated dependencies: r-xml2@1.5.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.avalancheresearch.ca
Licenses: CC-BY-SA 4.0
Build system: r
Synopsis: Snow Profile Analysis for Snowpack and Avalanche Research
Description:

Analysis and plotting tools for snow profile data produced from manual snowpack observations and physical snowpack models. The functions in this package support snowpack and avalanche research by reading various formats of data (including CAAML, SMET, generic csv, and outputs from the snow cover model SNOWPACK), manipulate the data, and produce graphics such as stratigraphy and time series profiles. Package developed by the Simon Fraser University Avalanche Research Program <http://www.avalancheresearch.ca>. Graphics apply visualization concepts from Horton, Nowak, and Haegeli (2020, <doi:10.5194/nhess-20-1557-2020>).

r-stratifiedyh 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stratifiedyh
Licenses: Expat
Build system: r
Synopsis: Stratified Sampling and Labeling of Data in R
Description:

This package provides functions for stratified sampling and assigning custom labels to data, ensuring randomness within groups. The package supports various sampling methods such as stratified, cluster, and systematic sampling. It allows users to apply transformations and customize the sampling process. This package can be useful for statistical analysis and data preparation tasks.

r-svd 0.5.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/asl/svd
Licenses: Modified BSD
Build system: r
Synopsis: Interfaces to Various State-of-Art SVD and Eigensolvers
Description:

R bindings to SVD and eigensolvers (PROPACK, nuTRLan).

r-samplesizelogisticcasecontrol 2.0.2
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=samplesizelogisticcasecontrol
Licenses: GPL 2
Build system: r
Synopsis: Sample Size and Power Calculations for Case-Control Studies
Description:

To determine sample size or power for case-control studies to be analyzed using logistic regression.

r-snsfdatasets 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://enricoschumann.net/R/packages/SNSFdatasets/
Licenses: GPL 3
Build system: r
Synopsis: Download Datasets from the Swiss National Science Foundation (SNF, FNS, SNSF)
Description:

Download and read datasets from the Swiss National Science Foundation (SNF, FNS, SNSF; <https://snf.ch>). The package is lightweight and without dependencies. Downloaded data can optionally be cached, to avoid repeated downloads of the same files. There are also utilities for comparing different versions of datasets, i.e. to report added, removed and changed entries.

r-stepgwr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=StepGWR
Licenses: GPL 2+
Build system: r
Synopsis: Hybrid Spatial Model for Prediction and Capturing Spatial Variation in the Data
Description:

It is a hybrid spatial model that combines the variable selection capabilities of stepwise regression methods with the predictive power of the Geographically Weighted Regression(GWR) model.The developed hybrid model follows a two-step approach where the stepwise variable selection method is applied first to identify the subset of predictors that have the most significant impact on the response variable, and then a GWR model is fitted using those selected variables for spatial prediction at test or unknown locations. For method details,see Leung, Y., Mei, C. L. and Zhang, W. X. (2000).<DOI:10.1068/a3162>.This hybrid spatial model aims to improve the accuracy and interpretability of GWR predictions by selecting a subset of relevant variables through a stepwise selection process.This approach is particularly useful for modeling spatially varying relationships and improving the accuracy of spatial predictions.

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