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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-sanzo 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jmaasch/sanzo
Licenses: GPL 3
Build system: r
Synopsis: Color Palettes Based on the Works of Sanzo Wada
Description:

Inspired by the art and color research of Sanzo Wada (1883-1967), his "Dictionary Of Color Combinations" (2011, ISBN:978-4861522475), and the interactive site by Dain M. Blodorn Kim <https://github.com/dblodorn/sanzo-wada>, this package brings Wada's color combinations to R for easy use in data visualizations. This package honors 60 of Wada's color combinations: 20 duos, 20 trios, and 20 quads.

r-simstandard 0.6.3
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/wjschne/simstandard
Licenses: CC0
Build system: r
Synopsis: Generate Standardized Data
Description:

This package creates simulated data from structural equation models with standardized loading. Data generation methods are described in Schneider (2013) <doi:10.1177/0734282913478046>.

r-stranslate 0.1.3
Propagated dependencies: r-stringr@1.6.0 r-knitr@1.50 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sigbertklinke/stranslate
Licenses: GPL 3
Build system: r
Synopsis: Simple Translation Between Different Languages
Description:

Message translation is often managed with po files and the gettext programme, but sometimes another solution is needed. In contrast to po files, a more flexible approach is used as in the Fluent <https://projectfluent.org/> project with R Markdown snippets. The key-value approach allows easier handling of the translated messages.

r-svytest 1.1.0
Propagated dependencies: r-survey@4.4-8 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=svytest
Licenses: Expat
Build system: r
Synopsis: Survey Weight Diagnostic Tests
Description:

This package provides diagnostic tests for assessing the informativeness of survey weights in regression models. Implements difference-in-coefficients tests (Hausman 1978 <doi:10.2307/1913827>; Pfeffermann 1993 <doi:10.2307/1403631>), weight-association tests (DuMouchel and Duncan 1983 <doi:10.2307/2288185>; Pfeffermann and Sverchkov 1999 <https://www.jstor.org/stable/25051118>; Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>; Wu and Fuller 2005 <https://www.jstor.org/stable/27590461>), estimating equations tests (Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>), and non-parametric permutation tests. Includes simulation utilities replicating Wang et al. (2023 <doi:10.1111/insr.12509>) and extensions.

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-silhouette 0.9.6
Propagated dependencies: r-lifecycle@1.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://kskbhat.github.io/Silhouette/
Licenses: GPL 2
Build system: r
Synopsis: Proximity Measure Based Diagnostics for Standard, Soft, and Multi-Way Clustering
Description:

Quantifies clustering quality by measuring both cohesion within clusters and separation between clusters. Implements advanced silhouette width computations for diverse clustering structures, including: simplified silhouette (Van der Laan et al., 2003) <doi:10.1080/0094965031000136012>, Probability of Alternative Cluster normalization methods (Raymaekers & Rousseeuw, 2022) <doi:10.1080/10618600.2022.2050249>, fuzzy clustering and silhouette diagnostics using membership probabilities (Campello & Hruschka, 2006; Menardi, 2011; Bhat & Kiruthika, 2024) <doi:10.1016/j.fss.2006.07.006>, <doi:10.1007/s11222-010-9169-0>, <doi:10.1080/23737484.2024.2408534>, and multi-way clustering extensions such as block and tensor clustering (Schepers et al., 2008; Bhat & Kiruthika, 2025) <doi:10.1007/s00357-008-9005-9>, <doi:10.21203/rs.3.rs-6973596/v1>. Provides tools for computation and visualization (Rousseeuw, 1987) <doi:10.1016/0377-0427(87)90125-7> to support robust and reproducible cluster diagnostics across standard, soft, and multi-way clustering settings.

r-sith 1.1.0
Propagated dependencies: r-scatterplot3d@0.3-44 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/phillipnicol/SITH
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Model of Intra-Tumor Heterogeneity
Description:

This package implements a three-dimensional stochastic model of cancer growth and mutation similar to the one described in Waclaw et al. (2015) <doi:10.1038/nature14971>. Allows for interactive 3D visualizations of the simulated tumor. Provides a comprehensive summary of the spatial distribution of mutants within the tumor. Contains functions which create synthetic sequencing datasets from the generated tumor.

r-spiro 0.2.3
Propagated dependencies: r-xml2@1.5.0 r-signal@1.8-1 r-readxl@1.4.5 r-knitr@1.50 r-ggplot2@4.0.1 r-digest@0.6.39 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ropensci/spiro
Licenses: Expat
Build system: r
Synopsis: Manage Data from Cardiopulmonary Exercise Testing
Description:

Import, process, summarize and visualize raw data from metabolic carts. See Robergs, Dwyer, and Astorino (2010) <doi:10.2165/11319670-000000000-00000> for more details on data processing.

r-shinygizmo 0.4.2
Propagated dependencies: r-shinywidgets@0.9.0 r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinyGizmo
Licenses: Expat
Build system: r
Synopsis: Custom Components for Shiny Applications
Description:

This package provides useful UI components and input widgets for Shiny applications. The offered components allow to apply non-standard operations and view to your Shiny application, but also help to overcome common performance issues.

r-strip 1.0.0
Propagated dependencies: r-rlist@0.4.6.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/paulponcet/strip
Licenses: Expat
Build system: r
Synopsis: Lighten your R Model Outputs
Description:

The strip function deletes components of R model outputs that are useless for specific purposes, such as predict[ing], print[ing], summary[izing], etc.

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-spselect 0.0.1
Propagated dependencies: r-tester@0.3.0 r-pracma@2.4.6 r-magic@1.6-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spselect
Licenses: GPL 2+
Build system: r
Synopsis: Selecting Spatial Scale of Covariates in Regression Models
Description:

Fits spatial scale (SS) forward stepwise regression, SS incremental forward stagewise regression, SS least angle regression (LARS), and SS lasso models. All area-level covariates are considered at all available scales to enter a model, but the SS algorithms are constrained to select each area-level covariate at a single spatial scale.

r-secretsprovider 1.0.1
Propagated dependencies: r-getpass@0.2-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://CRAN.R-project.org/package=SecretsProvider
Licenses: ASL 2.0
Build system: r
Synopsis: Save and Retrieve Name-Value Pairs to and from a File
Description:

Facilitates secret management by storing credentials in a dedicated file, keeping them out of your code base. The secrets are stored without encryption. This package is compatible with secrets stored by the SecretsProvider Python package <https://pypi.org/project/SecretsProvider/>.

r-spbal 1.0.1
Propagated dependencies: r-units@1.0-0 r-sf@1.0-23 r-rcppthread@2.2.0 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=spbal
Licenses: Expat
Build system: r
Synopsis: Spatially Balanced Sampling Algorithms
Description:

Encapsulates a number of spatially balanced sampling algorithms, namely, Balanced Acceptance Sampling (equal, unequal, seed point, panels), Halton frames (for discretizing a continuous resource), Halton Iterative Partitioning (equal probability) and Simple Random Sampling. Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013) <doi:10.1111/biom.12059>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) <doi:10.1016/j.spl.2017.05.004>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) <doi:10.1007/s10651-018-0406-6>. Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) <doi:10.1007/s10651-020-00481-1>. Robertson, B. L., Davies, P., Gansell, O., van Dam-Bates, P., McDonald, T. (2025) <doi:10.1111/anzs.12435>.

r-sharpdata 1.4
Propagated dependencies: r-quadprog@1.5-8 r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sharpData
Licenses: FSDG-compatible
Build system: r
Synopsis: Data Sharpening
Description:

This package provides functions and data sets inspired by data sharpening - data perturbation to achieve improved performance in nonparametric estimation, as described in Choi, E., Hall, P. and Rousson, V. (2000). Capabilities for enhanced local linear regression function and derivative estimation are included, as well as an asymptotically correct iterated data sharpening estimator for any degree of local polynomial regression estimation. A cross-validation-based bandwidth selector is included which, in concert with the iterated sharpener, will often provide superior performance, according to a median integrated squared error criterion. Sample data sets are provided to illustrate function usage.

r-shapboost 1.0.3
Propagated dependencies: r-xgboost@1.7.11.1 r-shapforxgboost@0.1.3 r-matrix@1.7-4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/O-T-O-Z/SHAPBoost-R
Licenses: Expat
Build system: r
Synopsis: The SHAPBoost Feature Selection Algorithm
Description:

The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.

r-stacking 0.2.1
Propagated dependencies: 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=stacking
Licenses: Expat
Build system: r
Synopsis: Building Predictive Models with Stacking
Description:

Building predictive models with stacking which is a type of ensemble learning. Learners can be specified from those implemented in caret'. For more information of the package, see Nukui and Onogi (2023) <doi:10.1101/2023.06.06.543970>.

r-survsens 1.1.0
Propagated dependencies: r-survival@3.8-3 r-reshape2@1.4.5 r-metr@0.18.3 r-interp@1.1-6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Rong0707/survSens
Licenses: GPL 2
Build system: r
Synopsis: Sensitivity Analysis with Time-to-Event Outcomes
Description:

This package performs a dual-parameter sensitivity analysis of treatment effect to unmeasured confounding in observational studies with either survival or competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2020) <doi:10.1002/sim.8672>.

r-sicure 0.1.1
Propagated dependencies: r-statmatch@1.4.3 r-npcure@0.1-5 r-fda@6.3.0 r-doby@4.7.0 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sicure
Licenses: GPL 2+
Build system: r
Synopsis: Single-Index Mixture Cure Models
Description:

Single-index mixture cure models allow estimating the probability of cure and the latency depending on a vector (or functional) covariate, avoiding the curse of dimensionality. The vector of parameters that defines the model can be estimated by maximum likelihood. A nonparametric estimator for the conditional density of the susceptible population is provided. For more details, see Piñeiro-Lamas (2024) (<https://ruc.udc.es/dspace/handle/2183/37035>). Funding: This work, integrated into the framework of PERTE for Vanguard Health, has been co-financed by the Spanish Ministry of Science, Innovation and Universities with funds from the European Union NextGenerationEU, from the Recovery, Transformation and Resilience Plan (PRTR-C17.I1) and from the Autonomous Community of Galicia within the framework of the Biotechnology Plan Applied to Health.

r-semiparmf 1.0.0
Propagated dependencies: r-spdep@1.4-1 r-sf@1.0-23
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jzeuzs/SemiparMF
Licenses: Expat
Build system: r
Synopsis: Semiparametric Spatiotemporal Model with Mixed Frequencies
Description:

Fits a semiparametric spatiotemporal model for data with mixed frequencies, specifically where the response variable is observed at a lower frequency than some covariates. The estimation uses an iterative backfitting algorithm that combines a non-parametric smoothing spline for high-frequency data, parametric estimation for low-frequency and spatial neighborhood effects, and an autoregressive error structure. Methodology based on Malabanan, Lansangan, and Barrios (2022) <https://scienggj.org/2022/SciEnggJ%202022-vol15-no02-p90-107-Malabanan%20et%20al.pdf>.

r-schoenberg 2.0.3
Propagated dependencies: r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=schoenberg
Licenses: GPL 3+
Build system: r
Synopsis: Tools for 12-Tone Musical Composition
Description:

This package provides functions for creating and manipulating 12-tone (i.e., dodecaphonic) musical matrices using Arnold Schoenberg's (1923) serialism technique. This package can generate random 12-tone matrices and can generate matrices using a pre-determined sequence of notes.

r-sparsecov 0.0.1
Propagated dependencies: r-sparsemvn@0.2.2 r-rfast@2.1.5.2 r-mvnfast@0.2.8 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/chexjiang/sparseCov
Licenses: GPL 2+
Build system: r
Synopsis: Sparse Covariance Estimation Based on Thresholding
Description:

This package provides a sparse covariance estimator based on different thresholding operators.

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-spfda 0.9.2
Propagated dependencies: r-mathjaxr@1.8-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/dipterix/spfda
Licenses: Expat
Build system: r
Synopsis: Function-on-Scalar Regression with Group-Bridge Penalty
Description:

This package implements a group-bridge penalized function-on-scalar regression model proposed by Wang et al. (2023) <doi:10.1111/biom.13684>, to simultaneously estimate functional coefficient and recover the local sparsity.

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Total results: 69112