_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-scploidy 0.6.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rsamtools@2.26.0 r-rlang@1.1.6 r-nimble@1.4.1 r-mixtools@2.0.0.1 r-matrixstats@1.5.0 r-mass@7.3-65 r-magrittr@2.0.4 r-genomicranges@1.62.0 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=scPloidy
Licenses: Expat
Build system: r
Synopsis: Infer Ploidy of Single Cells
Description:

Compute ploidy of single cells (or nuclei) based on single-cell (or single-nucleus) ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) data <https://github.com/fumi-github/scPloidy>.

r-sclust 1.0
Propagated dependencies: r-cluster@2.1.8.1 r-class@7.3-23
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sClust
Licenses: GPL 2+
Build system: r
Synopsis: R Toolbox for Unsupervised Spectral Clustering
Description:

Toolbox containing a variety of spectral clustering tools functions. Among the tools available are the hierarchical spectral clustering algorithm, the Shi and Malik clustering algorithm, the Perona and Freeman algorithm, the non-normalized clustering, the Von Luxburg algorithm, the Partition Around Medoids clustering algorithm, a multi-level clustering algorithm, recursive clustering and the fast method for all clustering algorithm. As well as other tools needed to run these algorithms or useful for unsupervised spectral clustering. This toolbox aims to gather the main tools for unsupervised spectral classification. See <http://mawenzi.univ-littoral.fr/> for more information and documentation.

r-ssnbayes 0.0.3
Propagated dependencies: r-ssn2@0.4.0 r-sf@1.0-23 r-rstan@2.32.7 r-plyr@1.8.9 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/EdgarSantos-Fernandez/SSNbayes
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Spatio-Temporal Analysis in Stream Networks
Description:

Fits Bayesian spatio-temporal models and makes predictions on stream networks using the approach by Santos-Fernandez, Edgar, et al. (2022)."Bayesian spatio-temporal models for stream networks". <arXiv:2103.03538>. In these models, spatial dependence is captured using stream distance and flow connectivity, while temporal autocorrelation is modelled using vector autoregression methods.

r-sensrivastava 2015.6.25.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SenSrivastava
Licenses: GPL 2+
Build system: r
Synopsis: Datasets from Sen & Srivastava
Description:

Collection of datasets from Sen & Srivastava: "Regression Analysis, Theory, Methods and Applications", Springer. Sources for individual data files are more fully documented in the book.

r-spfsr 2.0.4
Propagated dependencies: r-tictoc@1.2.1 r-ranger@0.17.0 r-mlr3pipelines@0.10.0 r-mlr3learners@0.13.0 r-mlr3@1.2.0 r-lgr@0.5.0 r-ggplot2@4.0.1 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.featureranking.com/
Licenses: GPL 3
Build system: r
Synopsis: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation
Description:

An implementation of feature selection, weighting and ranking via simultaneous perturbation stochastic approximation (SPSA). The SPSA-FSR algorithm searches for a locally optimal set of features that yield the best predictive performance using some error measures such as mean squared error (for regression problems) and accuracy rate (for classification problems).

r-shinywizard 1.1.3.11
Propagated dependencies: r-rstudioapi@0.17.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ShinyWizard
Licenses: GPL 3+
Build system: r
Synopsis: An Interactive Wizard to Design, Build, and Deploy R Packages Demo Presentation
Description:

Design, build, and deploy R packages demo presentations by an interactive wizard. Set up unique title, logo and themes. Add personalized tabs exposing applicability. And deploy as a part of a package or an independent app.

r-swdft 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=swdft
Licenses: Expat
Build system: r
Synopsis: Sliding Window Discrete Fourier Transform (SWDFT)
Description:

This package implements the Sliding Window Discrete Fourier Transform (SWDFT). Also provides statistical methods based on the SWDFT, and graphical tools to display the outputs.

r-stockdistfit 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-quantmod@0.4.28 r-magrittr@2.0.4 r-ghyp@1.6.5 r-fitdistrplus@1.2-4 r-fgarch@4052.93 r-fbasics@4041.97 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=StockDistFit
Licenses: GPL 3+
Build system: r
Synopsis: Fit Stock Price Distributions
Description:

The StockDistFit package provides functions for fitting probability distributions to stock price data. The package uses maximum likelihood estimation to find the best-fitting distribution for a given stock. It also offers a function to fit several distributions to one or more assets and compare the distribution with the Akaike Information Criterion (AIC) and then pick the best distribution. References are as follows: Siew et al. (2008) <https://www.jstage.jst.go.jp/article/jappstat/37/1/37_1_1/_pdf/-char/ja> and Benth et al. (2008) <https://books.google.co.ke/books?hl=en&lr=&id=MHNpDQAAQBAJ&oi=fnd&pg=PR7&dq=Stochastic+modeling+of+commodity+prices+using+the+Variance+Gamma+(VG)+model.+&ots=YNIL2QmEYg&sig=XZtGU0lp4oqXHVyPZ-O8x5i7N3w&redir_esc=y#v=onepage&q&f=false>.

r-shinytester 0.1.0
Propagated dependencies: r-visnetwork@2.1.4 r-tidyr@1.3.1 r-stringr@1.6.0 r-readr@2.1.6 r-purrr@1.2.0 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=ShinyTester
Licenses: GPL 2
Build system: r
Synopsis: Functions to Minimize Bonehead Moves While Working with 'shiny'
Description:

It's my experience that working with shiny is intuitive once you're into it, but can be quite daunting at first. Several common mistakes are fairly predictable, and therefore we can control for these. The functions in this package help match up the assets listed in the UI and the SERVER files, and Visualize the ad hoc structure of the shiny App.

r-spades-tools 2.1.1
Propagated dependencies: r-terra@1.8-86 r-reproducible@3.0.0 r-rcpp@1.1.0 r-fpcompare@0.2.4 r-data-table@1.17.8 r-checkmate@2.3.3 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://spades-tools.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description:

This package provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See ?SpaDES.tools for an categorized overview of these additional tools. The suggested package NLMR can be installed from the following repository: (<https://PredictiveEcology.r-universe.dev>).

r-spectralgp 1.3.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://doi.org/10.18637/jss.v019.i02
Licenses: GPL 2+
Build system: r
Synopsis: Approximate Gaussian Processes Using the Fourier Basis
Description:

Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes in one and two dimensions using the Fourier basis approximation: simulation and plotting of processes, calculation of coefficient variances, calculation of process density, coefficient proposals (for use in MCMC). It uses R environments to store GP objects as references/pointers.

r-splithalfr 3.0.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-psych@2.5.6 r-dplyr@1.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/tpronk/splithalfr
Licenses: GPL 3
Build system: r
Synopsis: Estimate Split-Half Reliabilities
Description:

Estimates split-half reliabilities for scoring algorithms of cognitive tasks and questionnaires. The splithalfr supports researcher-provided scoring algorithms, with six vignettes illustrating how on included datasets. The package provides four splitting methods (first-second, odd-even, permutated, Monte Carlo), the option to stratify splits by task design, a number of reliability coefficients, the option to sub-sample data, and bootstrapped confidence intervals.

r-simml 0.3.0
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=simml
Licenses: GPL 3
Build system: r
Synopsis: Single-Index Models with Multiple-Links
Description:

This package provides a major challenge in estimating treatment decision rules from a randomized clinical trial dataset with covariates measured at baseline lies in detecting relatively small treatment effect modification-related variability (i.e., the treatment-by-covariates interaction effects on treatment outcomes) against a relatively large non-treatment-related variability (i.e., the main effects of covariates on treatment outcomes). The class of Single-Index Models with Multiple-Links is a novel single-index model specifically designed to estimate a single-index (a linear combination) of the covariates associated with the treatment effect modification-related variability, while allowing a nonlinear association with the treatment outcomes via flexible link functions. The models provide a flexible regression approach to developing treatment decision rules based on patients data measured at baseline. We refer to Park, Petkova, Tarpey, and Ogden (2020) <doi:10.1016/j.jspi.2019.05.008> and Park, Petkova, Tarpey, and Ogden (2020) <doi:10.1111/biom.13320> (that allows an unspecified X main effect) for detail of the method. The main function of this package is simml().

r-sae 1.3
Propagated dependencies: r-mass@7.3-65 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sae
Licenses: GPL 2
Build system: r
Synopsis: Small Area Estimation
Description:

This package provides functions for small area estimation.

r-spongebob 0.4.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jayqi/spongebob
Licenses: Modified BSD
Build system: r
Synopsis: SpongeBob-Case Converter : spOngEboB-CASe CoNVertER
Description:

Convert text (and text in R objects) to Mocking SpongeBob case <https://knowyourmeme.com/memes/mocking-spongebob> and show them off in fun ways. CoNVErT TexT (AnD TeXt In r ObJeCtS) To MOCkINg SpoNgebOb CAsE <https://knowyourmeme.com/memes/mocking-spongebob> aND shOw tHem OFf IN Fun WayS.

r-stablelearner 0.1-7
Propagated dependencies: r-ranger@0.17.0 r-randomforest@4.7-1.2 r-partykit@1.2-24 r-party@1.3-18 r-mass@7.3-65 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stablelearner
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Stability Assessment of Statistical Learning Methods
Description:

Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.

r-stressr 1.0.0
Propagated dependencies: r-xts@0.14.1 r-xml@3.99-0.20 r-latticeextra@0.6-31 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mrbcuda/stressr
Licenses: Expat
Build system: r
Synopsis: Fetch and plot financial stress index and component data
Description:

Forms queries to submit to the Cleveland Federal Reserve Bank web site's financial stress index data site. Provides query functions for both the composite stress index and the components data. By default the download includes daily time series data starting September 25, 1991. The functions return a class of either type easing or cfsi which contain a list of items related to the query and its graphical presentation. The list includes the time series data as an xts object. The package provides four lattice time series plots to render the time series data in a manner similar to the bank's own presentation.

r-slowraker 0.1.1
Dependencies: openjdk@25
Propagated dependencies: r-snowballc@0.7.1 r-opennlp@0.2-7 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://crew102.github.io/slowraker/index.html
Licenses: Expat
Build system: r
Synopsis: Slow Version of the Rapid Automatic Keyword Extraction (RAKE) Algorithm
Description:

This package provides a mostly pure-R implementation of the RAKE algorithm (Rose, S., Engel, D., Cramer, N. and Cowley, W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.

r-stochqn 0.1.2-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/david-cortes/stochQN
Licenses: FreeBSD
Build system: r
Synopsis: Stochastic Limited Memory Quasi-Newton Optimizers
Description:

Implementations of stochastic, limited-memory quasi-Newton optimizers, similar in spirit to the LBFGS (Limited-memory Broyden-Fletcher-Goldfarb-Shanno) algorithm, for smooth stochastic optimization. Implements the following methods: oLBFGS (online LBFGS) (Schraudolph, N.N., Yu, J. and Guenter, S., 2007 <http://proceedings.mlr.press/v2/schraudolph07a.html>), SQN (stochastic quasi-Newton) (Byrd, R.H., Hansen, S.L., Nocedal, J. and Singer, Y., 2016 <arXiv:1401.7020>), adaQN (adaptive quasi-Newton) (Keskar, N.S., Berahas, A.S., 2016, <arXiv:1511.01169>). Provides functions for easily creating R objects with partial_fit/predict methods from some given objective/gradient/predict functions. Includes an example stochastic logistic regression using these optimizers. Provides header files and registered C routines for using it directly from C/C++.

r-stoichutilities 1.0.2
Propagated dependencies: r-units@1.0-0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sf@1.0-23 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-jsonlite@2.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/STOICH-project/STOICH-utilities
Licenses: GPL 3+
Build system: r
Synopsis: User Tools for Accessing the STOICH Project Database
Description:

User tools for working with The STOICH (Stoichiometric Traits of Organisms in their Chemical Habitats) Project database <https://snr-stoich.unl.edu/>. This package is designed to aid in data discovery, filtering, pairing water samples with organism samples, and merging data tables to assist users in preparing data for analyses. For additional examples see "Additional Examples" and the readme file at <https://github.com/STOICH-project/STOICH-utilities>.

r-samc 4.1.0
Propagated dependencies: r-terra@1.8-86 r-rcppthread@2.2.0 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-raster@3.6-32 r-matrix@1.7-4 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://andrewmarx.github.io/samc/
Licenses: AGPL 3+
Build system: r
Synopsis: Spatial Absorbing Markov Chains
Description:

This package implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.

r-sweepdiscovery 0.1.1
Propagated dependencies: r-randomforest@4.7-1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SweepDiscovery
Licenses: GPL 3
Build system: r
Synopsis: Selective Sweep Discovery Tool
Description:

Selective sweep is a biological phenomenon in which genetic variation between neighboring beneficial mutant alleles is swept away due to the effect of genetic hitchhiking. Detection of selective sweep is not well acquainted as well as it is a laborious job. This package is a user friendly approach for detecting selective sweep in genomic regions. It uses a Random Forest based machine learning approach to predict selective sweep from VCF files as an input. Input of this function, train data and new data, can be computed using the project <https://github.com/AbhikSarkar1999/SweepDiscovery> in GitHub'. This package has been developed by using the concept of Pavlidis and Alachiotis (2017) <doi:10.1186/s40709-017-0064-0>.

r-sidier 4.1.1
Propagated dependencies: r-network@1.19.0 r-igraph@2.2.1 r-gridbase@0.4-7 r-ggplot2@4.0.1 r-ggmap@4.0.2 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sidier
Licenses: GPL 2
Build system: r
Synopsis: Substitution and Indel Distances to Infer Evolutionary Relationships
Description:

Evolutionary reconstruction based on substitutions and insertion-deletion (indels) analyses in a distance-based framework as described in Muñoz-Pajares (2013) <doi:10.1111/2041-210X.12118>.

r-samadb 0.3.1
Propagated dependencies: r-writexl@1.5.4 r-rmysql@0.11.1 r-dbi@1.2.3 r-data-table@1.17.8 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=samadb
Licenses: GPL 3
Build system: r
Synopsis: South Africa Macroeconomic Database API
Description:

An R API providing access to a relational database with macroeconomic time series data for South Africa, obtained from the South African Reserve Bank (SARB) and Statistics South Africa (STATSSA), and updated on a weekly basis via the EconData <https://www.econdata.co.za/> platform and automated scraping of the SARB and STATSSA websites. The database is maintained at the Department of Economics at Stellenbosch University.

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Total results: 69112