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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-spabundance 0.2.1
Propagated dependencies: r-rann@2.6.2 r-lme4@1.1-37 r-foreach@1.5.2 r-doparallel@1.0.17 r-coda@0.19-4.1 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=spAbundance
Licenses: GPL 3+
Build system: r
Synopsis: Univariate and Multivariate Spatial Modeling of Species Abundance
Description:

Fits single-species (univariate) and multi-species (multivariate) non-spatial and spatial abundance models in a Bayesian framework using Markov Chain Monte Carlo (MCMC). Spatial models are fit using Nearest Neighbor Gaussian Processes (NNGPs). Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2022) <doi:10.18637/jss.v103.i05>. Fits single-species and multi-species spatial and non-spatial versions of generalized linear mixed models (Gaussian, Poisson, Negative Binomial), N-mixture models (Royle 2004 <doi:10.1111/j.0006-341X.2004.00142.x>) and hierarchical distance sampling models (Royle, Dawson, Bates (2004) <doi:10.1890/03-3127>). Multi-species spatial models are fit using a spatial factor modeling approach with NNGPs for computational efficiency.

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-sfcentral 0.1.3
Propagated dependencies: r-sf@1.0-23 r-scales@1.4.0 r-lwgeom@0.2-14 r-hmisc@5.2-4 r-geodist@0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gavg712.gitlab.io/sfcentral/
Licenses: GPL 3+
Build system: r
Synopsis: Spatial Centrality and Dispersion Statistics
Description:

Compute centrographic statistics (central points, standard distance, standard deviation ellipse, standard deviation box) for observations taken at point locations in 2D or 3D. The sfcentral library was inspired in aspace package but conceived to be used in a spatial tidyverse context.

r-saehb-me 1.0.1
Propagated dependencies: r-stringr@1.6.0 r-rjags@4-17 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=saeHB.ME
Licenses: GPL 3
Build system: r
Synopsis: Small Area Estimation with Measurement Error using Hierarchical Bayesian Method
Description:

Implementation of small area estimation using Hierarchical Bayesian (HB) Method when auxiliary variable measured with error. The rjags package is employed to obtain parameter estimates. For the references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Ybarra and Lohr (2008) <doi:10.1093/biomet/asn048>, and Ntzoufras (2009, ISBN-10: 1118210352).

r-serp 0.2.5
Propagated dependencies: r-ordinal@2023.12-4.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ejikeugba/serp
Licenses: GPL 2
Build system: r
Synopsis: Smooth Effects on Response Penalty for CLM
Description:

This package implements a regularization method for cumulative link models using the Smooth-Effect-on-Response Penalty (SERP). This method allows flexible modeling of ordinal data by enabling a smooth transition from a general cumulative link model to a simplified version of the same model. As the tuning parameter increases from zero to infinity, the subject-specific effects for each variable converge to a single global effect. The approach addresses common issues in cumulative link models, such as parameter unidentifiability and numerical instability, by maximizing a penalized log-likelihood instead of the standard non-penalized version. Fitting is performed using a modified Newton's method. Additionally, the package includes various model performance metrics and descriptive tools. For details on the implemented penalty method, see Ugba (2021) <doi:10.21105/joss.03705> and Ugba et al. (2021) <doi:10.3390/stats4030037>.

r-shelter 0.2.1
Propagated dependencies: r-yaml@2.3.10 r-sodium@1.4.0 r-rappdirs@0.3.3 r-getpass@0.2-4 r-filelock@1.0.3 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/vubiostat/shelter
Licenses: GPL 3
Build system: r
Synopsis: Support for Secure API Key Management
Description:

Secure handling of API keys can be difficult. This package provides secure convenience functions for entering / handling API keys and opening connections via inversion of control on those keys. Works seamlessly between production and developer environments.

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-shiny-pwa 0.2.1
Propagated dependencies: r-urltools@1.7.3.1 r-shiny@1.11.1 r-readr@2.1.6 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/pedrocoutinhosilva/shiny.pwa
Licenses: Expat
Build system: r
Synopsis: Progressive Web App Support for Shiny
Description:

Adds Progressive Web App support for Shiny apps, including desktop and mobile installations.

r-stockanalyst 1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stockAnalyst
Licenses: GPL 3
Build system: r
Synopsis: Equity Valuation using Methods of Fundamental Analysis
Description:

This package provides methods of Fundamental Analysis for Valuation of Equity included here serve as a quick reference for undergraduate courses on Stock Valuation and Chartered Financial Analyst Levels 1 and 2 Readings on Equity Valuation. Jerald E. Pinto (â Equity Asset Valuation (4th Edition)â , 2020, ISBN: 9781119628194). Chartered Financial Analyst Institute ("Chartered Financial Analyst Program Curriculum 2020 Level I Volumes 1-6. (Vol. 4, pp. 445-491)", 2019, ISBN: 9781119593577). Chartered Financial Analyst Institute ("Chartered Financial Analyst Program Curriculum 2020 Level II Volumes 1-6. (Vol. 4, pp. 197-447)", 2019, ISBN: 9781119593614).

r-sindyr 0.2.4
Propagated dependencies: r-pracma@2.4.6 r-matrixstats@1.5.0 r-igraph@2.2.1 r-arrangements@1.1.9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sindyr
Licenses: GPL 2+
Build system: r
Synopsis: Sparse Identification of Nonlinear Dynamics
Description:

This implements the Brunton et al (2016; PNAS <doi:10.1073/pnas.1517384113>) sparse identification algorithm for finding ordinary differential equations for a measured system from raw data (SINDy). The package includes a set of additional tools for working with raw data, with an emphasis on cognitive science applications (Dale and Bhat, 2018 <doi:10.1016/j.cogsys.2018.06.020>). See <https://github.com/racdale/sindyr> for examples and updates.

r-sensitivityixj 0.1.5
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=sensitivityIxJ
Licenses: GPL 3
Build system: r
Synopsis: Exact Nonparametric Sensitivity Analysis for I by J Contingency Tables
Description:

This package implements exact, normally approximated, and sampling-based sensitivity analysis for observational studies with contingency tables. Includes exact (kernel-based), normal approximation, and sequential importance sampling (SIS) methods using Rcpp for computational efficiency. The methods build upon the framework introduced in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2> and the generalized design sensitivity framework developed by Chiu (2025) <doi:10.48550/arXiv.2507.17207>.

r-stevethemes 0.1.0
Propagated dependencies: r-systemfonts@1.3.1 r-rlang@1.1.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://svmiller.com/stevethemes/
Licenses: Expat
Build system: r
Synopsis: Steve's 'ggplot2' Themes and Related Theme Elements
Description:

This is a compilation of my preferred themes and related theme elements for ggplot2'. I believe these themes and theme elements are aesthetically pleasing, both for pedagogical instruction and for the presentation of applied statistical research to a wide audience. These themes imply routine use of easily obtained/free fonts, simple forms of which are included in this package.

r-stabiliser 1.0.6
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rsample@1.3.1 r-recipes@1.3.1 r-purrr@1.2.0 r-ncvreg@3.16.0 r-matrixstats@1.5.0 r-lmertest@3.1-3 r-lme4@1.1-37 r-knitr@1.50 r-hmisc@5.2-4 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-expss@0.11.7 r-dplyr@1.1.4 r-caret@7.0-1 r-broom@1.0.10 r-bigstep@1.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stabiliser
Licenses: Expat
Build system: r
Synopsis: Stabilising Variable Selection
Description:

This package provides a stable approach to variable selection through stability selection and the use of a permutation-based objective stability threshold. Lima et al (2021) <doi:10.1038/s41598-020-79317-8>, Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.

r-steppedpower 0.3.5
Propagated dependencies: r-rfast@2.1.5.2 r-plotly@4.11.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SteppedPower
Licenses: Expat
Build system: r
Synopsis: Power Calculation for Stepped Wedge Designs
Description:

This package provides tools for power and sample size calculation as well as design diagnostics for longitudinal mixed model settings, with a focus on stepped wedge designs. All calculations are oracle estimates i.e. assume random effect variances to be known (or guessed) in advance. The method is introduced in Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>, extensions are discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.

r-sparkline 2.0
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=sparkline
Licenses: Expat
Build system: r
Synopsis: 'jQuery' Sparkline 'htmlwidget'
Description:

Include interactive sparkline charts <http://omnipotent.net/jquery.sparkline> in all R contexts with the convenience of htmlwidgets'.

r-sparseinv 0.1.3
Propagated dependencies: r-spam@2.11-1 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sparseinv
Licenses: FSDG-compatible
Build system: r
Synopsis: Computation of the Sparse Inverse Subset
Description:

This package creates a wrapper for the SuiteSparse routines that execute the Takahashi equations. These equations compute the elements of the inverse of a sparse matrix at locations where the its Cholesky factor is structurally non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions are also implemented. Support for spam matrices is currently limited and will be implemented in the future. See Rue and Martino (2007) <doi:10.1016/j.jspi.2006.07.016> and Zammit-Mangion and Rougier (2018) <doi:10.1016/j.csda.2018.02.001> for the application of these equations to statistics.

r-shroomdk 0.3.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shroomDK
Licenses: Expat
Build system: r
Synopsis: Accessing the Flipside Crypto ShroomDK API
Description:

Programmatic access to Flipside Crypto data via the Compass RPC API: <https://api-docs.flipsidecrypto.xyz/>. As simple as auto_paginate_query() but with core functions as needed for troubleshooting. Note, 0.1.1 support deprecated 2023-05-31.

r-supportr 1.6.0
Propagated dependencies: r-vegan@2.7-2 r-tidyr@1.3.1 r-stringr@1.6.0 r-stringi@1.8.7 r-scales@1.4.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-googledrive@2.1.2 r-gh@1.5.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/njlyon0/supportR
Licenses: Expat
Build system: r
Synopsis: Support Functions for Wrangling and Visualization
Description:

Suite of helper functions for data wrangling and visualization. The only theme for these functions is that they tend towards simple, short, and narrowly-scoped. These functions are built for tasks that often recur but are not large enough in scope to warrant an ecosystem of interdependent functions.

r-snn 1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=snn
Licenses: GPL 3
Build system: r
Synopsis: Stabilized Nearest Neighbor Classifier
Description:

Implement K-nearest neighbor classifier, weighted nearest neighbor classifier, bagged nearest neighbor classifier, optimal weighted nearest neighbor classifier and stabilized nearest neighbor classifier, and perform model selection via 5 fold cross-validation for them. This package also provides functions for computing the classification error and classification instability of a classification procedure.

r-shapleyoutlier 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-robustbase@0.99-6 r-rdpack@2.6.4 r-rcolorbrewer@1.1-3 r-magrittr@2.0.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-forcats@1.0.1 r-egg@0.4.5 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=ShapleyOutlier
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances
Description:

Based on Shapley values to explain multivariate outlyingness and to detect and impute cellwise outliers. Includes implementations of methods described in Mayrhofer and Filzmoser (2023) <doi:10.1016/j.ecosta.2023.04.003>.

r-stocc 1.31
Propagated dependencies: r-truncnorm@1.0-9 r-rarpack@0.11-0 r-matrix@1.7-4 r-fields@17.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stocc
Licenses: CC0
Build system: r
Synopsis: Fit a Spatial Occupancy Model via Gibbs Sampling
Description:

Fit a spatial-temporal occupancy models using a probit formulation instead of a traditional logit model.

r-sysid 1.0.5
Propagated dependencies: r-zoo@1.8-14 r-tframe@2015.12-1.1 r-signal@1.8-1 r-reshape2@1.4.5 r-polynom@1.4-1 r-ggplot2@4.0.1 r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sysid
Licenses: GPL 3
Build system: r
Synopsis: System Identification in R
Description:

This package provides functions for constructing mathematical models of dynamical systems from measured input-output data.

r-stdbscan 0.1.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/MiboraMinima/stdbscan/
Licenses: GPL 3+
Build system: r
Synopsis: Spatio-Temporal DBSCAN Clustering
Description:

This package implements the ST-DBSCAN (spatio-temporal density-based spatial clustering of applications with noise) clustering algorithm for detecting spatially and temporally dense regions in point data, with a fast C++ backend via Rcpp'. Birant and Kut (2007) <doi:10.1016/j.datak.2006.01.013>.

r-scorpius 1.0.10
Propagated dependencies: r-tsp@1.2.6 r-tidyr@1.3.1 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-rann@2.6.2 r-ranger@0.17.0 r-purrr@1.2.0 r-princurve@2.1.6 r-pheatmap@1.0.13 r-pbapply@1.7-4 r-mclust@6.1.2 r-matrix@1.7-4 r-mass@7.3-65 r-lmds@0.1.0 r-ggplot2@4.0.1 r-dynwrap@1.2.5 r-dynutils@1.0.12 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rcannood/SCORPIUS
Licenses: GPL 3
Build system: r
Synopsis: Inferring Developmental Chronologies from Single-Cell RNA Sequencing Data
Description:

An accurate and easy tool for performing linear trajectory inference on single cells using single-cell RNA sequencing data. In addition, SCORPIUS provides functions for discovering the most important genes with respect to the reconstructed trajectory, as well as nice visualisation tools. Cannoodt et al. (2016) <doi:10.1101/079509>.

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