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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-asianoption 0.1.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/plato-12/AsianOption
Licenses: GPL 3+
Build system: r
Synopsis: Asian Option Pricing with Price Impact
Description:

This package implements binomial tree pricing for geometric and arithmetic Asian options incorporating market price impact from hedging activities. Uses the Cox-Ross-Rubinstein (CRR) model with the replicating portfolio method. Provides exact pricing for geometric Asian options and bounds for arithmetic Asian options based on Jensen's inequality. The price impact mechanism models how hedging volumes affect stock prices, leading to modified risk-neutral probabilities. Based on the methodology described in Tiwari and Majumdar (2025) <doi:10.48550/arXiv.2512.07154>.

r-amazonspr 0.1.0
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://windsor.ai/
Licenses: GPL 3
Build system: r
Synopsis: Get Amazon Sp Data via the 'Windsor.ai' API
Description:

Collect your data on digital marketing campaigns from Amazon Sp using the Windsor.ai API <https://windsor.ai/api-fields/>.

r-avlm 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=avlm
Licenses: Expat
Build system: r
Synopsis: Safe Anytime Valid Inference for Linear Models
Description:

Anytime-valid inference for linear models, namely, sequential t-tests, sequential F-tests, and confidence sequences with time-uniform Type-I error and coverage guarantees. This allows hypotheses to be continuously tested without sacrificing false positive guarantees. It is based on the methods documented in Lindon et al. (2022) <doi:10.48550/arXiv.2210.08589>.

r-ai 1.0.4.44
Propagated dependencies: r-party@1.3-18 r-metrics@0.1.4 r-mass@7.3-65 r-class@7.3-23 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/urniaz/ai
Licenses: GPL 3
Build system: r
Synopsis: Build, Predict and Analyse Artificial Intelligence Models
Description:

An interface for data processing, building models, predicting values and analysing outcomes. Fitting Linear Models, Robust Fitting of Linear Models, k-Nearest Neighbor Classification, 1-Nearest Neighbor Classification, and Conditional Inference Trees are available.

r-algeriapis 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-scales@1.4.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/lightbluetitan/algeriapis
Licenses: Expat
Build system: r
Synopsis: Access Algerian Data via Public APIs
Description:

This package provides functions to access data from public RESTful APIs including World Bank API and REST Countries API', retrieving real-time or historical information related to Algeria. The package enables users to query economic indicators and international demographic and geopolitical statistics in a reproducible way. It is designed for researchers, analysts, and developers who require reliable and programmatic access to Algerian data through established APIs. For more information on the APIs, see: World Bank API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392> and REST Countries API <https://restcountries.com/>.

r-admiral-test 0.7.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=admiral.test
Licenses: ASL 2.0
Build system: r
Synopsis: Test Data for the 'admiral' Package
Description:

This package provides a set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) derivations inside the admiral package.

r-advice 1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ADVICE
Licenses: FSDG-compatible
Build system: r
Synopsis: Automatic Direct Variable Selection via Interrupted Coefficient Estimation
Description:

Accurate point and interval estimation methods for multiple linear regression coefficients, under classical normal and independent error assumptions, taking into account variable selection.

r-autots 0.9.11
Propagated dependencies: r-tidyr@1.3.1 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rlang@1.1.6 r-rcpproll@0.3.1 r-prophet@1.1.7 r-plotly@4.11.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-forecast@8.24.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/vivienroussez/autoTS
Licenses: GPL 3
Build system: r
Synopsis: Automatic Model Selection and Prediction for Univariate Time Series
Description:

Offers a set of functions to easily make predictions for univariate time series. autoTS is a wrapper of existing functions of the forecast and prophet packages, harmonising their outputs in tidy dataframes and using default values for each. The core function getBestModel() allows the user to effortlessly benchmark seven algorithms along with a bagged estimator to identify which one performs the best for a given time series.

r-ascotracer 0.0.1
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-purrr@1.2.0 r-lutz@0.3.2 r-lubridate@1.9.4 r-data-table@1.17.8 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/IhsanKhaliq/ascotraceR
Licenses: Expat
Build system: r
Synopsis: Simulate the Spread of Ascochyta Blight in Chickpea
Description:

This package provides a spatiotemporal model that simulates the spread of Ascochyta blight in chickpea fields based on location-specific weather conditions. This model is adapted from a model developed by Diggle et al. (2002) <doi:10.1094/PHYTO.2002.92.10.1110> for simulating the spread of anthracnose in a lupin field.

r-arkdb 0.0.18
Propagated dependencies: r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/ropensci/arkdb
Licenses: Expat
Build system: r
Synopsis: Archive and Unarchive Databases Using Flat Files
Description:

Flat text files provide a robust, compressible, and portable way to store tables from databases. This package provides convenient functions for exporting tables from relational database connections into compressed text files and streaming those text files back into a database without requiring the whole table to fit in working memory.

r-areabiplot 1.0.0
Propagated dependencies: r-nipals@1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=areabiplot
Licenses: Expat
Build system: r
Synopsis: Area Biplot
Description:

Considering an (n x m) data matrix X, this package is based on the method proposed by Gower, Groener, and Velden (2010) <doi:10.1198/jcgs.2010.07134>, and utilize the resulting matrices from the extended version of the NIPALS decomposition to determine n triangles whose areas are used to visually estimate the elements of a specific column of X. After a 90-degree rotation of the sample points, the triangles are drawn regarding the following points: 1.the origin of the axes; 2.the sample points; 3. the vector endpoint representing some variable.

r-adjclust 0.6.11
Propagated dependencies: r-sparsematrixstats@1.22.0 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-ggplot2@4.0.1 r-dendextend@1.19.1 r-capushe@1.1.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://pneuvial.github.io/adjclust/
Licenses: GPL 3
Build system: r
Synopsis: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description:

This package implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) <doi:10.1186/s13015-019-0157-4>.

r-actuare 0.1.7
Propagated dependencies: r-statmod@1.5.1 r-reformulas@0.4.2 r-nlme@3.1-168 r-magrittr@2.0.4 r-lme4@1.1-37 r-knitr@1.50 r-ggplot2@4.0.1 r-data-table@1.17.8 r-cplm@0.7-12.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://bavodc.github.io/websiteactuaRE/
Licenses: GPL 3+
Build system: r
Synopsis: Handling Hierarchically Structured Risk Factors using Random Effects Models
Description:

Using this package, you can fit a random effects model using either the hierarchical credibility model, a combination of the hierarchical credibility model with a generalized linear model or a Tweedie generalized linear mixed model. See Campo, B.D.C. and Antonio, K. (2023) <doi:10.1080/03461238.2022.2161413>.

r-admiralvaccine 0.6.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-hms@1.1.4 r-dplyr@1.1.4 r-cli@3.6.5 r-assertthat@0.2.1 r-admiraldev@1.4.0 r-admiral@1.4.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://pharmaverse.github.io/admiralvaccine/
Licenses: FSDG-compatible
Build system: r
Synopsis: Vaccine Extension Package for ADaM in 'R' Asset Library
Description:

Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the admiral package.

r-azurevmmetadata 1.0.1
Propagated dependencies: r-openssl@2.3.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AzureVMmetadata
Licenses: Expat
Build system: r
Synopsis: Interface to Azure Virtual Machine Instance Metadata
Description:

This package provides a simple interface to the instance metadata for a virtual machine running in Microsoft's Azure cloud. This provides information about the VM's configuration, such as its processors, memory, networking, storage, and so on. Part of the AzureR family of packages.

r-allmt 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-survminer@0.5.1 r-survival@3.8-3 r-stringr@1.6.0 r-scales@1.4.0 r-rio@1.2.4 r-reshape2@1.4.5 r-readxl@1.4.5 r-plyr@1.8.9 r-htmltable@2.4.3 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/tmungle/allMT
Licenses: GPL 3+
Build system: r
Synopsis: Acute Lymphoblastic Leukemia Maintenance Therapy Analysis
Description:

Evaluates acute lymphoblastic leukemia maintenance therapy practice at patient and cohort level.

r-asciiruler 0.2
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=asciiruler
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Render an ASCII Ruler
Description:

An ASCII ruler is for measuring text and is especially useful for sequence analysis. Included in this package are methods to create ASCII rulers and associated GenBank sequence blocks, multi-column text displays that make it easy for viewers to locate nucleotides by position.

r-adpclust 0.7
Propagated dependencies: r-knitr@1.50 r-fields@17.1 r-dplyr@1.1.4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/ethanyxu/ADPclust
Licenses: GPL 2+
Build system: r
Synopsis: Fast Clustering Using Adaptive Density Peak Detection
Description:

An implementation of ADPclust clustering procedures (Fast Clustering Using Adaptive Density Peak Detection). The work is built and improved upon the idea of Rodriguez and Laio (2014)<DOI:10.1126/science.1242072>. ADPclust clusters data by finding density peaks in a density-distance plot generated from local multivariate Gaussian density estimation. It includes an automatic centroids selection and parameter optimization algorithm, which finds the number of clusters and cluster centroids by comparing average silhouettes on a grid of testing clustering results; It also includes a user interactive algorithm that allows the user to manually selects cluster centroids from a two dimensional "density-distance plot". Here is the research article associated with this package: "Wang, Xiao-Feng, and Yifan Xu (2015)<DOI:10.1177/0962280215609948> Fast clustering using adaptive density peak detection." Statistical methods in medical research". url: http://smm.sagepub.com/content/early/2015/10/15/0962280215609948.abstract.

r-assa 2.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ASSA
Licenses: GPL 3+
Build system: r
Synopsis: Applied Singular Spectrum Analysis (ASSA)
Description:

This package provides functions to model and decompose time series into principal components using singular spectrum analysis (de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>).

r-asymptor 1.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://hugogruson.fr/asymptor/
Licenses: GPL 3
Build system: r
Synopsis: Estimate Asymptomatic Cases via Capture/Recapture Methods
Description:

Estimate the lower and upper bound of asymptomatic cases in an epidemic using the capture/recapture methods from Böhning et al. (2020) <doi:10.1016/j.ijid.2020.06.009> and Rocchetti et al. (2020) <doi:10.1101/2020.07.14.20153445>. Note there is currently some discussion about the validity of the methods implemented in this package. You should read carefully the original articles, alongside this answer from Li et al. (2022) <doi:10.48550/arXiv.2209.11334> before using this package in your project.

r-arulesviz 1.5.4
Propagated dependencies: r-visnetwork@2.1.4 r-vcd@1.4-13 r-tidyr@1.3.1 r-tibble@3.3.0 r-seriation@1.5.8 r-scatterplot3d@0.3-44 r-plotly@4.11.0 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/mhahsler/arulesViz
Licenses: GPL 3
Build system: r
Synopsis: Visualizing Association Rules and Frequent Itemsets
Description:

Extends package arules with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration. Michael Hahsler (2017) <doi:10.32614/RJ-2017-047>.

r-allomr 0.3.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=allomr
Licenses: GPL 3+
Build system: r
Synopsis: Removing Allometric Effects of Body Size in Morphological Analysis
Description:

Implementation of the technique of Lleonart et al. (2000) <doi:10.1006/jtbi.2000.2043> to scale body measurements that exhibit an allometric growth. This procedure is a theoretical generalization of the technique used by Thorpe (1975) <doi:10.1111/j.1095-8312.1975.tb00732.x> and Thorpe (1976) <doi:10.1111/j.1469-185X.1976.tb01063.x>.

r-acdcquery 1.1.1
Propagated dependencies: r-rsqlite@2.4.4 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/SLesche/acdc-query
Licenses: GPL 3+
Build system: r
Synopsis: Query the Attentional Control Data Collection
Description:

Interact with the Attentional Control Data Collection (ACDC). Connect to the database via connect_to_db(), set filter arguments via add_argument() and query the database via query_db().

r-amadeus 1.3.2.1
Propagated dependencies: r-tidyr@1.3.1 r-testthat@3.3.0 r-terra@1.8-86 r-stringi@1.8.7 r-stars@0.6-8 r-sftime@0.3.1 r-sf@1.0-23 r-rvest@1.0.5 r-rlang@1.1.6 r-rdpack@2.6.4 r-nhdplustools@1.4.2 r-jsonlite@2.0.0 r-httr2@1.2.1 r-exactextractr@0.10.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-collapse@2.1.5 r-archive@1.1.12.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://niehs.github.io/amadeus/
Licenses: Expat
Build system: r
Synopsis: Accessing and Analyzing Large-Scale Environmental Data
Description:

This package provides functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.

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