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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-synth 1.1-9
Propagated dependencies: r-rgenoud@5.9-0.11 r-optimx@2025-4.9 r-kernlab@0.9-33
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://web.stanford.edu/~jhain/
Licenses: GPL 2+
Build system: r
Synopsis: Synthetic Control Group Method for Comparative Case Studies
Description:

This package implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.

r-slmodels 0.1.2
Propagated dependencies: r-rocr@1.0-11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SLModels
Licenses: GPL 3
Build system: r
Synopsis: Stepwise Linear Models for Binary Classification Problems under Youden Index Optimisation
Description:

Stepwise models for the optimal linear combination of continuous variables in binary classification problems under Youden Index optimisation. Information on the models implemented can be found at Aznar-Gimeno et al. (2021) <doi:10.3390/math9192497>.

r-spas 2025.2.1
Propagated dependencies: r-tmb@1.9.18 r-reshape2@1.4.5 r-rcppeigen@0.3.4.0.2 r-plyr@1.8.9 r-numderiv@2016.8-1.1 r-msm@1.8.2 r-matrix@1.7-4 r-mass@7.3-65 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SPAS
Licenses: GPL 2+
Build system: r
Synopsis: Stratified-Petersen Analysis System
Description:

The Stratified-Petersen Analysis System (SPAS) is designed to estimate abundance in two-sample capture-recapture experiments where the capture and recaptures are stratified. This is a generalization of the simple Lincoln-Petersen estimator. Strata may be defined in time or in space or both, and the s strata in which marking takes place may differ from the t strata in which recoveries take place. When s=t, SPAS reduces to the method described by Darroch (1961) <doi:10.2307/2332748>. When s<t, SPAS implements the methods described in Plante, Rivest, and Tremblay (1988) <doi:10.2307/2533994>. Schwarz and Taylor (1998) <doi:10.1139/f97-238> describe the use of SPAS in estimating return of salmon stratified by time and geography. A related package, BTSPAS, deals with temporal stratification where a spline is used to model the distribution of the population over time as it passes the second capture location. This is the R-version of the (now obsolete) standalone Windows program of the same name.

r-stoichcalc 1.1-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stoichcalc
Licenses: GPL 2+
Build system: r
Synopsis: R Functions for Solving Stoichiometric Equations
Description:

Given a list of substance compositions, a list of substances involved in a process, and a list of constraints in addition to mass conservation of elementary constituents, the package contains functions to build the substance composition matrix, to analyze the uniqueness of process stoichiometry, and to calculate stoichiometric coefficients if process stoichiometry is unique. (See Reichert, P. and Schuwirth, N., A generic framework for deriving process stoichiometry in enviromental models, Environmental Modelling and Software 25, 1241-1251, 2010 for more details.).

r-snowdata 1.0.0
Propagated dependencies: r-terra@1.8-86
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SnowData
Licenses: GPL 3
Build system: r
Synopsis: Historical Data from John Snow's 1854 Cholera Outbreak Map
Description:

This package provides historical datasets related to John Snow's 1854 cholera outbreak study in London. Includes data on cholera cases, water pump locations, and the street layout, enabling analysis and visualisation of the outbreak.

r-sdf-test 0.0.1.0
Propagated dependencies: r-dtt@0.1-2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sdf.test
Licenses: GPL 3+
Build system: r
Synopsis: Nonparametric Two Sample Test for Equality of Spectral Densities
Description:

Nonparametric method for testing the equality of the spectral densities of two time series of possibly different lengths. The time series are preprocessed with the discrete cosine transform and the variance stabilising transform to obtain an approximate Gaussian regression setting for the log-spectral density function. The test statistic is based on the squared L2 norm of the difference between the estimated log-spectral densities. The test returns the result, the statistic value, and the p-value. It also provides the estimated empirical quantile and null distribution under the hypothesis of equal spectral densities. An example using EEG data is included. For details see Nadin, Krivobokova, Enikeeva (2026), <doi:10.48550/arXiv.2602.10774>.

r-sship 0.9.0
Propagated dependencies: r-yaml@2.3.10 r-rcurl@1.98-1.17 r-openssl@2.3.4 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://github.com/Rapporteket/sship
Licenses: GPL 3
Build system: r
Synopsis: Tool for Secure Shipment of Content
Description:

Convenient tools for exchanging files securely from within R. By encrypting the content safe passage of files (shipment) can be provided by common but insecure carriers such as ftp and email. Based on asymmetric cryptography no management of shared secrets is needed to make a secure shipment as long as authentic public keys are available. Public keys used for secure shipments may also be obtained from external providers as part of the overall process. Transportation of files will require that relevant services such as ftp and email servers are available.

r-statlingua 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bgreenwell/statlingua
Licenses: GPL 2+
Build system: r
Synopsis: Explain Statistical Output with Large Language Models
Description:

Transform complex statistical output into straightforward, understandable, and context-aware natural language descriptions using Large Language Models (LLMs), making complex analyses more accessible to individuals with varying statistical expertise. It relies on the ellmer package to interface with LLM providers including OpenAI <https://openai.com/>, Google AI Studio <https://aistudio.google.com/>, and Anthropic <https://www.anthropic.com/> (API keys are required and managed via ellmer').

r-setweaver 1.0.0
Propagated dependencies: r-splittools@1.0.1 r-pheatmap@1.0.13 r-permutes@2.8 r-igraph@2.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/nicolasleenaerts/setweaver
Licenses: FSDG-compatible
Build system: r
Synopsis: Building Sets of Variables in a Probabilistic Framework
Description:

Create sets of variables based on a mutual information approach. In this context, a set is a collection of distinct elements (e.g., variables) that can also be treated as a single entity. Mutual information, a concept from probability theory, quantifies the dependence between two variables by expressing how much information about one variable can be gained from observing the other. Furthermore, you can analyze, and visualize these sets in order to better understand the relationships among variables.

r-shinycohortbuilder 0.4.0
Propagated dependencies: r-trycatchlog@1.3.1 r-tibble@3.3.0 r-shinywidgets@0.9.0 r-shinygizmo@0.4.2 r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-highr@0.11 r-glue@1.8.0 r-ggplot2@4.0.1 r-ggiraph@0.9.2 r-dplyr@1.1.4 r-cohortbuilder@0.4.0 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://r-world-devs.github.io/shinyCohortBuilder/
Licenses: Expat
Build system: r
Synopsis: Modular Cohort-Building Framework for Analytical Dashboards
Description:

You can easily add advanced cohort-building component to your analytical dashboard or simple Shiny app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.

r-sgr 1.3.1
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=sgr
Licenses: GPL 2+
Build system: r
Synopsis: Sample Generation by Replacement
Description:

Sample Generation by Replacement simulations (SGR; Lombardi & Pastore, 2014; Pastore & Lombardi, 2014). The package can be used to perform fake data analysis according to the sample generation by replacement approach. It includes functions for making simple inferences about discrete/ordinal fake data. The package allows to study the implications of fake data for empirical results.

r-sensiphy 0.8.5
Propagated dependencies: r-phytools@2.5-2 r-phylolm@2.6.5 r-ggplot2@4.0.1 r-geiger@2.0.11 r-caper@1.0.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/paternogbc/sensiPhy
Licenses: GPL 2
Build system: r
Synopsis: Sensitivity Analysis for Comparative Methods
Description:

An implementation of sensitivity analysis for phylogenetic comparative methods. The package is an umbrella of statistical and graphical methods that estimate and report different types of uncertainty in PCM: (i) Species Sampling uncertainty (sample size; influential species and clades). (ii) Phylogenetic uncertainty (different topologies and/or branch lengths). (iii) Data uncertainty (intraspecific variation and measurement error).

r-systemfit 1.1-30
Propagated dependencies: r-sandwich@3.1-1 r-matrix@1.7-4 r-mass@7.3-65 r-lmtest@0.9-40 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://r-forge.r-project.org/projects/systemfit/
Licenses: GPL 2+
Build system: r
Synopsis: Estimating Systems of Simultaneous Equations
Description:

Econometric estimation of simultaneous systems of linear and nonlinear equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), Weighted Two-Stage Least Squares (W2SLS), and Three-Stage Least Squares (3SLS) as suggested, e.g., by Zellner (1962) <doi:10.2307/2281644>, Zellner and Theil (1962) <doi:10.2307/1911287>, and Schmidt (1990) <doi:10.1016/0304-4076(90)90127-F>.

r-sense 1.1.0
Propagated dependencies: r-visnetwork@2.1.4 r-tictoc@1.2.1 r-readr@2.1.6 r-purrr@1.2.0 r-paradox@1.0.1 r-mlr3viz@0.10.1 r-mlr3tuning@1.5.0 r-mlr3pipelines@0.10.0 r-mlr3learners@0.13.0 r-mlr3filters@0.9.0 r-mlr3@1.2.0 r-metrics@0.1.4 r-lubridate@1.9.4 r-forcats@1.0.1 r-data-table@1.17.8 r-bbotk@1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://mlr3.mlr-org.com/
Licenses: GPL 3
Build system: r
Synopsis: Automatic Stacked Ensemble for Regression Tasks
Description:

Stacked ensemble for regression tasks based on mlr3 framework with a pipeline for preprocessing numeric and factor features and hyper-parameter tuning using grid or random search.

r-stenr 0.6.9
Propagated dependencies: r-rlang@1.1.6 r-r6@2.6.1 r-moments@0.14.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://statismike.github.io/stenR/
Licenses: Expat
Build system: r
Synopsis: Standardization of Raw Discrete Questionnaire Scores
Description:

An user-friendly framework to preprocess raw item scores of questionnaires into factors or scores and standardize them. Standardization can be made either by their normalization in representative sample, or by import of premade scoring table.

r-spatialacc 0.1-5
Propagated dependencies: r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://stamatisgeoai.eu/
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Accessibility Measures
Description:

This package provides a set of spatial accessibility measures from a set of locations (demand) to another set of locations (supply). It aims, among others, to support research on spatial accessibility to health care facilities. Includes the locations and some characteristics of major public hospitals in Greece.

r-spatialreg-hp 0.0-1
Propagated dependencies: r-vegan@2.7-2 r-spdep@1.4-1 r-spatialreg@1.4-2 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=spatialreg.hp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Hierarchical Partitioning of R2 for Spatial Simultaneous Autoregressive Model
Description:

Conducts hierarchical partitioning to calculate individual contributions of spatial and predictors (groups) towards total R2 for spatial simultaneous autoregressive model.

r-spatialregimes 1.2
Propagated dependencies: r-spdep@1.4-1 r-spatialreg@1.4-2 r-quantreg@6.1 r-plm@2.6-7 r-gwmodel@2.4-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpatialRegimes
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Constrained Clusterwise Regression
Description:

This package provides a collection of functions for estimating spatial regimes, aggregations of neighboring spatial units that are homogeneous in functional terms. The term spatial regime, therefore, should not be understood as a synonym for cluster. More precisely, the term cluster does not presuppose any functional relationship between the variables considered, while the term regime is linked to a regressive relationship underlying the spatial process.

r-shinynorrrm 0.8.6
Propagated dependencies: r-ternary@2.3.6 r-shinywidgets@0.9.0 r-shinythemes@1.2.0 r-shiny@1.11.1 r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/TheRFrog/shinyNORRRM
Licenses: GPL 3
Build system: r
Synopsis: The Ultimate Igneous Norm
Description:

The computer program is an efficient igneous norm algorithm and rock classification system written in R but run as shiny app.

r-sparsematest 1.0.0
Propagated dependencies: r-glasso@1.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sparseMatEst
Licenses: GPL 3
Build system: r
Synopsis: Sparse Matrix Estimation and Inference
Description:

The sparseMatEst package provides functions for estimating sparse covariance and precision matrices with error control. A false positive rate is fixed corresponding to the probability of falsely including a matrix entry in the support of the estimator. It uses the binary search method outlined in Kashlak and Kong (2019) <arXiv:1705.02679> and in Kashlak (2019) <arXiv:1903.10988>.

r-semsens 1.5.5
Propagated dependencies: r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SEMsens
Licenses: GPL 3
Build system: r
Synopsis: Tool for Sensitivity Analysis in Structural Equation Modeling
Description:

Perform sensitivity analysis in structural equation modeling using meta-heuristic optimization methods (e.g., ant colony optimization and others). The references for the proposed methods are: (1) Leite, W., & Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (2022). <doi:10.1080/10705511.2021.1881786> (2) Harring, J. R., McNeish, D. M., & Hancock, G. R. (2017) <doi:10.1080/10705511.2018.1506925>; (3) Fisk, C., Harring, J., Shen, Z., Leite, W., Suen, K., & Marcoulides, K. (2022). <doi:10.1177/00131644211073121>; (4) Socha, K., & Dorigo, M. (2008) <doi:10.1016/j.ejor.2006.06.046>. We also thank Dr. Krzysztof Socha for sharing his research on ant colony optimization algorithm with continuous domains and associated R code, which provided the base for the development of this package.

r-sooty 0.6.0
Propagated dependencies: r-tibble@3.3.0 r-s7@0.2.1 r-curl@7.0.0 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mdsumner/sooty
Licenses: Expat
Build system: r
Synopsis: Data Source Catalogues Online for Southern Ocean Ecosystem Research
Description:

Obtains lists of files of remote sensing collections for Southern Ocean surface properties. Commonly used data sources of sea surface temperature, sea ice concentration, and altimetry products such as sea surface height and sea surface currents are cached in object storage on the Pawsey Supercomputing Research Centre facility. Patterns of working to retrieve data from these object storage catalogues are described. The catalogues include complete collections of datasets Reynolds et al. (2008) "NOAA Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1" <doi:10.7289/V5SQ8XB5>, Spreen et al. (2008) "Artist Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) sea ice concentration" <doi:10.1029/2005JC003384>. In future releases helpers will be added to identify particular data collections and target specific dates for earth observation data for reading, as well as helpers to retrieve data set citation and provenance details. This work was supported by resources provided by the Pawsey Supercomputing Research Centre with funding from the Australian Government and the Government of Western Australia. This software was developed by the Integrated Digital East Antarctica program of the Australian Antarctic Division.

r-sigmoid 1.4.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sigmoid
Licenses: GPL 3
Build system: r
Synopsis: Sigmoid Functions for Machine Learning
Description:

Several different sigmoid functions are implemented, including a wrapper function, SoftMax preprocessing and inverse functions.

r-stempcens 1.2.0
Propagated dependencies: r-tmvtnorm@1.7 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mcmcglmm@2.36 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=StempCens
Licenses: GPL 2+
Build system: r
Synopsis: Spatio-Temporal Estimation and Prediction for Censored/Missing Responses
Description:

It estimates the parameters of spatio-temporal models with censored or missing data using the SAEM algorithm (Delyon et al., 1999). This algorithm is a stochastic approximation of the widely used EM algorithm and is particularly valuable for models in which the E-step lacks a closed-form expression. It also provides a function to compute the observed information matrix using the method developed by Louis (1982). To assess the performance of the fitted model, case-deletion diagnostics are provided.

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