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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-squids 25.6.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://squids.opens.science
Licenses: GPL 3+
Build system: r
Synopsis: Short Quasi-Unique Identifiers (SQUIDs)
Description:

It is often useful to produce short, quasi-unique identifiers (SQUIDs) without the benefit of a central authority to prevent duplication. Although Universally Unique Identifiers (UUIDs) provide for this, these are also unwieldy; for example, the most used UUID, version 4, is 36 characters long. SQUIDs are short (8 characters) at the expense of having more collisions, which can be mitigated by combining them with human-produced suffixes, yielding relatively brief, half human-readable, almost-unique identifiers (see for example the identifiers used for Decentralized Construct Taxonomies; Peters & Crutzen, 2024 <doi:10.15626/MP.2022.3638>). SQUIDs are the number of centiseconds elapsed since the beginning of 1970 converted to a base 30 system. This package contains functions to produce SQUIDs as well as convert them back into dates and times.

r-shinylogs 0.2.1
Propagated dependencies: r-shiny@1.11.1 r-nanotime@0.3.12 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-digest@0.6.39 r-data-table@1.17.8 r-bit64@4.6.0-1 r-anytime@0.3.12
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/dreamRs/shinylogs
Licenses: GPL 3
Build system: r
Synopsis: Record Everything that Happens in a 'Shiny' Application
Description:

Track and record the use of applications and the user's interactions with Shiny inputs. Allows to trace the inputs with which the user interacts, the outputs generated, as well as the errors displayed in the interface.

r-sdaresources 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SDAResources
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Datasets and Functions for 'Sampling: Design and Analysis, 3rd Edition'
Description:

Includes all the datasets of Sampling: Design and Analysis (3rd edition by Sharon Lohr) in R format and additional functions for analyzing and graphing probability samples.

r-sewage 0.2.5
Propagated dependencies: r-glue@1.8.0 r-diagrammer@1.0.11 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mwhalen18/sewage
Licenses: Expat
Build system: r
Synopsis: Light-Weight Data Pipelining Tool
Description:

This package provides a simple interface to developing complex data pipelines which can be executed in a single call. sewage makes it easy to test, debug, and share data pipelines through it's interface and visualizations.

r-spearmanci 1.1
Propagated dependencies: r-mass@7.3-65 r-emplik@1.3-2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spearmanCI
Licenses: GPL 3+
Build system: r
Synopsis: Jackknife Euclidean / Empirical Likelihood Inference for Spearman's Rho
Description:

This package provides functions for conducting jackknife Euclidean / empirical likelihood inference for Spearman's rho (de Carvalho and Marques (2012) <doi:10.1080/10920277.2012.10597644>).

r-sda 1.3.9
Propagated dependencies: r-fdrtool@1.2.18 r-entropy@1.3.2 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://strimmerlab.github.io/software/sda/
Licenses: GPL 3+
Build system: r
Synopsis: Shrinkage Discriminant Analysis and CAT Score Variable Selection
Description:

This package provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.

r-statcomp 0.1.0
Propagated dependencies: r-zoo@1.8-14 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=statcomp
Licenses: GPL 2
Build system: r
Synopsis: Statistical Complexity and Information Measures for Time Series Analysis
Description:

An implementation of local and global statistical complexity measures (aka Information Theory Quantifiers, ITQ) for time series analysis based on ordinal statistics (Bandt and Pompe (2002) <DOI:10.1103/PhysRevLett.88.174102>). Several distance measures that operate on ordinal pattern distributions, auxiliary functions for ordinal pattern analysis, and generating functions for stochastic and deterministic-chaotic processes for ITQ testing are provided.

r-sotkanet 0.10.1
Propagated dependencies: r-refmanager@1.4.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-httr2@1.2.1 r-frictionless@1.2.1 r-digest@0.6.39 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://ropengov.github.io/sotkanet/
Licenses: FreeBSD
Build system: r
Synopsis: Sotkanet Open Data Access and Analysis
Description:

Access statistical information on welfare and health in Finland from the Sotkanet open data portal <https://sotkanet.fi/sotkanet/fi/index>.

r-secsse 3.5.0
Propagated dependencies: r-treestats@1.70.8 r-tibble@3.3.0 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-geiger@2.0.11 r-ddd@5.2.4 r-bh@1.87.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://rsetienne.github.io/secsse/
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Several Examined and Concealed States-Dependent Speciation and Extinction
Description:

Simultaneously infers state-dependent diversification across two or more states of a single or multiple traits while accounting for the role of a possible concealed trait. See Herrera-Alsina et al. (2019) <doi:10.1093/sysbio/syy057>.

r-spstack 1.1.2
Propagated dependencies: r-rstudioapi@0.17.1 r-mba@0.1-2 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-cvxr@1.0-15
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://span-18.github.io/spStack-dev/
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Geostatistics Using Predictive Stacking
Description:

Fits Bayesian hierarchical spatial and spatial-temporal process models for point-referenced Gaussian, Poisson, binomial, and binary data using stacking of predictive densities. It involves sampling from analytically available posterior distributions conditional upon candidate values of the spatial process parameters and, subsequently assimilate inference from these individual posterior distributions using Bayesian predictive stacking. Our algorithm is highly parallelizable and hence, much faster than traditional Markov chain Monte Carlo algorithms while delivering competitive predictive performance. See Zhang, Tang, and Banerjee (2025) <doi:10.1080/01621459.2025.2566449>, and, Pan, Zhang, Bradley, and Banerjee (2025) <doi:10.48550/arXiv.2406.04655> for details.

r-seguid 0.1.0
Propagated dependencies: r-digest@0.6.39 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.seguid.org/
Licenses: Expat
Build system: r
Synopsis: Sequence Globally Unique Identifier (SEGUID) Checksums
Description:

Implementation of the original Sequence Globally Unique Identifier (SEGUID) algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support for linear, circular, single- and double-stranded biological sequences, e.g. DNA, RNA, and proteins.

r-sahpm 1.0.1
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=sahpm
Licenses: GPL 2
Build system: r
Synopsis: Variable Selection using Simulated Annealing
Description:

Highest posterior model is widely accepted as a good model among available models. In terms of variable selection highest posterior model is often the true model. Our stochastic search process SAHPM based on simulated annealing maximization method tries to find the highest posterior model by maximizing the model space with respect to the posterior probabilities of the models. This package currently contains the SAHPM method only for linear models. The codes for GLM will be added in future.

r-soilwater 1.0.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ecor/soilwater
Licenses: GPL 2+
Build system: r
Synopsis: Implementation of Parametric Formulas for Soil Water Retention or Conductivity Curve
Description:

It implements parametric formulas of soil water retention or conductivity curve. At the moment, only Van Genuchten (for soil water retention curve) and Mualem (for hydraulic conductivity) were implemented. See reference (<http://en.wikipedia.org/wiki/Water_retention_curve>).

r-sqliter 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-rsqlite@2.4.4 r-functional@0.6 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/wilsonfreitas/sqliter/
Licenses: Expat
Build system: r
Synopsis: Connection wrapper to SQLite databases
Description:

sqliter helps users, mainly data munging practioneers, to organize their sql calls in a clean structure. It simplifies the process of extracting and transforming data into useful formats.

r-stemmatology 0.3.2
Propagated dependencies: r-xml2@1.5.0 r-igraph@2.2.1 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Jean-Baptiste-Camps/stemmatology
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Stemmatological Analysis of Textual Traditions
Description:

Explore and analyse the genealogy of textual or musical traditions, from their variants, with various stemmatological methods, mainly the disagreement-based algorithms suggested by Camps and Cafiero (2015) <doi:10.1484/M.LECTIO-EB.5.102565>.

r-starma 1.3
Propagated dependencies: r-scales@1.4.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=starma
Licenses: GPL 2
Build system: r
Synopsis: Modelling Space Time AutoRegressive Moving Average (STARMA) Processes
Description:

Statistical functions to identify, estimate and diagnose a Space-Time AutoRegressive Moving Average (STARMA) model.

r-shiny-exe 0.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/AODiakite
Licenses: GPL 2
Build system: r
Synopsis: Launch a Shiny Application without Opening R or RStudio
Description:

Launch an application by a simple click without opening R or RStudio. The package has 3 functions of which only one is essential in its use, `shiny.exe()`. It generates a script in the open shiny project then create a shortcut in the same folder that allows you to launch the app by clicking.If you set `host = public'`, the application will be launched on the public server to which you are connected. Thus, all other devices connected to the same server will be able to access the application through the link of your `IPv4` extended by the port. You can stop the application by leaving the terminal opened by the shortcut.

r-smartmeteranalytics 1.1.1
Propagated dependencies: r-zoo@1.8-14 r-stinepack@1.5 r-plyr@1.8.9 r-futile-logger@1.4.3 r-fnn@1.1.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SmartMeterAnalytics
Licenses: Expat
Build system: r
Synopsis: Methods for Smart Meter Data Analysis
Description:

This package provides methods for analysis of energy consumption data (electricity, gas, water) at different data measurement intervals. The package provides feature extraction methods and algorithms to prepare data for data mining and machine learning applications. Deatiled descriptions of the methods and their application can be found in Hopf (2019, ISBN:978-3-86309-669-4) "Predictive Analytics for Energy Efficiency and Energy Retailing" <doi:10.20378/irbo-54833> and Hopf et al. (2016) <doi:10.1007/s12525-018-0290-9> "Enhancing energy efficiency in the residential sector with smart meter data analytics".

r-sbmsdp 0.2
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=sbmSDP
Licenses: GPL 3
Build system: r
Synopsis: Semidefinite Programming for Fitting Block Models of Equal Block Sizes
Description:

An ADMM implementation of SDP-1, a semidefinite programming relaxation of the maximum likelihood estimator for fitting a block model. SDP-1 has a tendency to produce equal-sized blocks and is ideal for producing a form of network histogram approximating a nonparametric graphon model. Alternatively, it can be used for community detection. (This is experimental code, proceed with caution.).

r-scorecard 0.4.6
Propagated dependencies: r-xml2@1.5.0 r-xefun@0.1.5 r-stringi@1.8.7 r-openxlsx@4.2.8.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 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://github.com/ShichenXie/scorecard
Licenses: Expat
Build system: r
Synopsis: Credit Risk Scorecard
Description:

The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.

r-shinyheatmaply 0.2.0
Propagated dependencies: r-xtable@1.8-4 r-shiny@1.11.1 r-rmarkdown@2.30 r-readxl@1.4.5 r-plotly@4.11.0 r-htmltools@0.5.8.1 r-heatmaply@1.6.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/yonicd/shinyHeatmaply
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Deploy 'heatmaply' using 'shiny'
Description:

Access functionality of the heatmaply package through Shiny UI'.

r-semicomprisks 3.4
Propagated dependencies: r-survival@3.8-3 r-mass@7.3-65 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SemiCompRisks
Licenses: GPL 2+
Build system: r
Synopsis: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Description:

Hierarchical multistate models are considered to perform the analysis of independent/clustered semi-competing risks data. The package allows to choose the specification for model components from a range of options giving users substantial flexibility, including: accelerated failure time or proportional hazards regression models; parametric or non-parametric specifications for baseline survival functions and cluster-specific random effects distribution; a Markov or semi-Markov specification for terminal event following non-terminal event. While estimation is mainly performed within the Bayesian paradigm, the package also provides the maximum likelihood estimation approach for several parametric models. The package also includes functions for univariate survival analysis as complementary analysis tools.

r-sip 0.1.0
Propagated dependencies: r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/acannis/SIP
Licenses: Expat
Build system: r
Synopsis: Single-Iteration Permutation for Large-Scale Biobank Data
Description:

This package provides a single, phenome-wide permutation of large-scale biobank data. When a large number of phenotypes are analyzed in parallel, a single permutation across all phenotypes followed by genetic association analyses of the permuted data enables estimation of false discovery rates (FDRs) across the phenome. These FDR estimates provide a significance criterion for interpreting genetic associations in a biobank context. For the basic permutation of unrelated samples, this package takes a sample-by-variable file with ID, genotypic covariates, phenotypic covariates, and phenotypes as input. For data with related samples, it also takes a file with sample pair-wise identity-by-descent information. The function outputs a permuted sample-by-variable file ready for genome-wide association analysis. See Annis et al. (2021) <doi:10.21203/rs.3.rs-873449/v1> for details.

r-stardom 1.1.32
Propagated dependencies: r-zoo@1.8-14 r-viridislite@0.4.2 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-r-matlab@3.7.0 r-purrr@1.2.0 r-pracma@2.4.6 r-multiway@1.0-7 r-mba@0.1-2 r-matrixstats@1.5.0 r-gtools@3.9.5 r-ggplot2@4.0.1 r-ggally@2.4.0 r-foreach@1.5.2 r-eemr@1.0.2 r-drc@3.0-1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-cdom@0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=staRdom
Licenses: AGPL 3
Build system: r
Synopsis: PARAFAC Analysis of EEMs from DOM
Description:

This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.'.

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Total results: 69112