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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-altopt 0.1.2
Propagated dependencies: r-lattice@0.22-7 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ALTopt
Licenses: GPL 3
Build system: r
Synopsis: Optimal Experimental Designs for Accelerated Life Testing
Description:

This package creates the optimal (D, U and I) designs for the accelerated life testing with right censoring or interval censoring. It uses generalized linear model (GLM) approach to derive the asymptotic variance-covariance matrix of regression coefficients. The failure time distribution is assumed to follow Weibull distribution with a known shape parameter and log-linear link functions are used to model the relationship between failure time parameters and stress variables. The acceleration model may have multiple stress factors, although most ALTs involve only two or less stress factors. ALTopt package also provides several plotting functions including contour plot, Fraction of Use Space (FUS) plot and Variance Dispersion graphs of Use Space (VDUS) plot. For more details, see Seo and Pan (2015) <doi:10.32614/RJ-2015-029>.

r-azureqstor 1.0.2
Propagated dependencies: r-openssl@2.3.4 r-httr@1.4.7 r-azurestor@3.7.1 r-azurermr@2.4.5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AzureQstor
Licenses: Expat
Build system: r
Synopsis: Interface to 'Azure Queue Storage'
Description:

An interface to Azure Queue Storage'. This is a cloud service for storing large numbers of messages, for example from automated sensors, that can be accessed remotely via authenticated calls using HTTP or HTTPS. Queue storage is often used to create a backlog of work to process asynchronously. Part of the AzureR family of packages.

r-astgrepr 0.1.1
Propagated dependencies: r-yaml@2.3.10 r-rrapply@1.2.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/etiennebacher/astgrepr
Licenses: Expat
Build system: r
Synopsis: Parse and Manipulate R Code
Description:

Parsing R code is key to build tools such as linters and stylers. This package provides a binding to the Rust crate ast-grep so that one can parse and explore R code.

r-avar 0.1.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/SMAC-Group/avar
Licenses: AGPL 3
Build system: r
Synopsis: Allan Variance
Description:

This package implements the allan variance and allan variance linear regression estimator for latent time series models. More details about the method can be found, for example, in Guerrier, S., Molinari, R., & Stebler, Y. (2016) <doi:10.1109/LSP.2016.2541867>.

r-agebanddecomposition 2.0.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://gitlab.com/Puletti/agebanddecomposition_rpackage
Licenses: GPL 3+
Build system: r
Synopsis: Age Band Decomposition Method for Tree Ring Standardization
Description:

This package implements the Age Band Decomposition (ABD) method for standardizing tree ring width data while preserving both low and high frequency variability. Unlike traditional detrending approaches that can distort long term growth trends, ABD decomposes ring width series into multiple age classes, detrends each class separately, and then recombines them to create standardized chronologies. This approach improves the detection of growth signals linked to past climatic and environmental factors, making it particularly valuable for dendroecological and dendroclimatological studies. The package provides functions to perform ABD-based standardization, compare results with other common methods (e.g., BAI, C method, RCS), and facilitate the interpretation of growth patterns under current and future climate variability.

r-afttest 4.5.2.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/WooJungBae/afttest
Licenses: GPL 3+
Build system: r
Synopsis: Model Diagnostics for Accelerated Failure Time Models
Description:

This package provides a collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided. See the following references; A general model-checking procedure for semiparametric accelerated failure time models, Statistics and Computing, 34 (3), 117 <doi:10.1007/s11222-024-10431-7>; Diagnostics for semiparametric accelerated failure time models with R package afttest', arXiv, <doi:10.48550/arXiv.2511.09823>.

r-autotransqf 0.1.3
Propagated dependencies: r-vgam@1.1-13 r-moments@0.14.1 r-matlab2r@1.5.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/yyyuehhu/AutoTransQF
Licenses: GPL 3
Build system: r
Synopsis: Novel Automatic Shifted Log Transformation
Description:

This package provides a novel parametrization of log transformation and a shift parameter to automate the transformation process are proposed in R package AutoTransQF based on Feng et al. (2016). Please read Feng et al. (2016) <doi:10.1002/sta4.104> for more details of the method.

r-autobagging 0.1.0
Propagated dependencies: r-xgboost@1.7.11.1 r-rpart@4.1.24 r-party@1.3-18 r-minerva@1.5.10 r-mass@7.3-65 r-lsr@0.5.2 r-infotheo@1.2.0.1 r-entropy@1.3.2 r-e1071@1.7-16 r-corelearn@1.57.3.1 r-cluster@2.1.8.1 r-caret@7.0-1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=autoBagging
Licenses: GPL 2+
Build system: r
Synopsis: Learning to Rank Bagging Workflows with Metalearning
Description:

This package provides a framework for automated machine learning. Concretely, the focus is on the optimisation of bagging workflows. A bagging workflows is composed by three phases: (i) generation: which and how many predictive models to learn; (ii) pruning: after learning a set of models, the worst ones are cut off from the ensemble; and (iii) integration: how the models are combined for predicting a new observation. autoBagging optimises these processes by combining metalearning and a learning to rank approach to learn from metadata. It automatically ranks 63 bagging workflows by exploiting past performance and dataset characterization. A complete description of the method can be found in: Pinto, F., Cerqueira, V., Soares, C., Mendes-Moreira, J. (2017): "autoBagging: Learning to Rank Bagging Workflows with Metalearning" arXiv preprint arXiv:1706.09367.

r-aelab 1.1.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=aelab
Licenses: GPL 3+
Build system: r
Synopsis: Data Processing for Aquatic Ecology
Description:

Facilitate the analysis of data related to aquatic ecology, specifically the establishment of carbon budget. Currently, the package allows the below analysis. (i) the calculation of greenhouse gas flux based on data obtained from trace gas analyzer using the method described in Lin et al. (2024). (ii) the calculation of Dissolved Oxygen (DO) metabolism based on data obtained from dissolved oxygen data logger using the method described in Staehr et al. (2010). Yong et al. (2024) <doi:10.5194/bg-21-5247-2024>. Staehr et al. (2010) <doi:10.4319/lom.2010.8.0628>.

r-argondash 0.2.5
Propagated dependencies: r-shiny@1.11.1 r-htmltools@0.5.8.1 r-argonr@0.2.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/RinteRface/argonDash
Licenses: GPL 2
Build system: r
Synopsis: Argon Shiny Dashboard Template
Description:

Create awesome Bootstrap 4 dashboards powered by Argon'.

r-audubon 0.6.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/paithiov909/audubon
Licenses: FSDG-compatible
Build system: r
Synopsis: Japanese Text Processing Tools
Description:

This package provides a collection of Japanese text processing tools for filling Japanese iteration marks, Japanese character type conversions, segmentation by phrase, and text normalization which is based on rules for the Sudachi morphological analyzer and the NEologd (Neologism dictionary for MeCab'). These features are specific to Japanese and are not implemented in ICU (International Components for Unicode).

r-ambiorix 2.2.2
Propagated dependencies: r-yyjsonr@0.1.21 r-webutils@1.2.2 r-log@1.1.1 r-httpuv@1.6.16 r-glue@1.8.0 r-fs@1.6.6 r-cli@3.6.5 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/ambiorix-web/ambiorix
Licenses: GPL 3+
Build system: r
Synopsis: Web Framework Inspired by 'Express.js'
Description:

This package provides a web framework inspired by express.js to build any web service from multi-page websites to RESTful application programming interfaces.

r-aquabeher 1.4.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/RobelTakele/AquaBEHER
Licenses: GPL 3+
Build system: r
Synopsis: Estimation and Prediction of Wet Season Calendar and Soil Water Balance for Agriculture
Description:

Computes and integrates daily potential evapotranspiration (PET) and a soil water balance model. It allows users to estimate and predict the wet season calendar, including onset, cessation, and duration, based on an agroclimatic approach for a specified period. This functionality helps in managing agricultural water resources more effectively. For detailed methodologies, users can refer to Allen et al. (1998, ISBN:92-5-104219-5); Allen (2005, ISBN:9780784408056); Doorenbos and Pruitt (1975, ISBN:9251002797); Guo et al. (2016) <doi:10.1016/j.envsoft.2015.12.019>; Hargreaves and Samani (1985) <doi:10.13031/2013.26773>; Priestley and Taylor (1972) <https://journals.ametsoc.org/view/journals/apme/18/7/1520-0450_1979_018_0898_tptema_2_0_co_2.xml>.

r-autofc 0.2.0.1002
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/tspsyched/autoFC
Licenses: GPL 3
Build system: r
Synopsis: Automatic Construction of Forced-Choice Tests
Description:

Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, termed item pairing, is thus critical to the quality of an FC test. This pairing process is essentially an optimization process which is currently carried out manually. However, given that we often need to simultaneously meet multiple objectives, manual pairing becomes impractical or even not feasible once the number of latent traits and/or number of items per trait are relatively large. To address these problems, autoFC is developed as a practical tool for facilitating the automatic construction of FC tests (Li et al., 2022 <doi:10.1177/01466216211051726>), essentially exempting users from the burden of manual item pairing and reducing the computational costs and biases induced by simple ranking methods. Given characteristics of each item (and item responses), FC measures can be constructed either automatically based on user-defined pairing criteria and weights, or based on exact specifications of each block (i.e., blueprint; see Li et al., 2024 <doi:10.1177/10944281241229784>). Users can also generate simulated responses based on the Thurstonian Item Response Theory model (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) and predict trait scores of simulated/actual respondents based on an estimated model.

r-afthd 1.1.0
Propagated dependencies: r-survival@3.8-3 r-rstpm2@1.7.1 r-r2jags@0.8-9 r-photobiology@0.14.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=afthd
Licenses: GPL 3
Build system: r
Synopsis: Accelerated Failure Time for High Dimensional Data with MCMC
Description:

This package provides functions for Posterior estimates of Accelerated Failure Time(AFT) model with MCMC and Maximum likelihood estimates of AFT model without MCMC for univariate and multivariate analysis in high dimensional gene expression data are available in this afthd package. AFT model with Bayesian framework for multivariate in high dimensional data has been proposed by Prabhash et al.(2016) <doi:10.21307/stattrans-2016-046>.

r-arcgislayers 0.6.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://developers.arcgis.com/r-bridge
Licenses: FSDG-compatible
Build system: r
Synopsis: Harness ArcGIS Data Services
Description:

Enables users of ArcGIS Enterprise', ArcGIS Online', or ArcGIS Platform to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.

r-airgrteaching 0.3.5
Propagated dependencies: r-xts@0.14.1 r-shinyjs@2.1.0 r-shiny@1.11.1 r-plotrix@3.8-13 r-markdown@2.0 r-dygraphs@1.1.1.6 r-airgr@1.7.8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://hydrogr.github.io/airGRteaching/
Licenses: GPL 2
Build system: r
Synopsis: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description:

Add-on package to the airGR package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a Shiny graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.

r-adfexplorer 2.1.0
Propagated dependencies: r-vctrs@0.6.5 r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://pepijn-devries.github.io/adfExplorer/
Licenses: GPL 3+
Build system: r
Synopsis: Access and Manipulate Amiga Disk Files
Description:

Amiga Disk Files (ADF) are virtual representations of 3.5 inch floppy disks for the Commodore Amiga. Most disk drives from other systems (including modern drives) are not able to read these disks. The adfExplorer package enables you to establish R connections to files on such virtual DOS-formatted disks, which can be use to read from and write to those files.

r-agua 0.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://agua.tidymodels.org/
Licenses: Expat
Build system: r
Synopsis: 'tidymodels' Integration with 'h2o'
Description:

Create and evaluate models using tidymodels and h2o <https://h2o.ai/>. The package enables users to specify h2o as an engine for several modeling methods.

r-arcgis 0.2.0
Propagated dependencies: r-httr2@1.2.1 r-cli@3.6.5 r-arcgisutils@0.5.0 r-arcgisplaces@0.1.2 r-arcgislayers@0.6.0 r-arcgisgeocode@0.4.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/R-ArcGIS/arcgis/
Licenses: FSDG-compatible
Build system: r
Synopsis: ArcGIS Location Services Meta-Package
Description:

This package provides easy installation and loading of core ArcGIS location services packages arcgislayers', arcgisutils', arcgisgeocode', and arcgisplaces'. Enabling developers to interact with spatial data and services from ArcGIS Online', ArcGIS Enterprise', and ArcGIS Platform'. Learn more about the arcgis meta-package at <https://developers.arcgis.com/r-bridge/>.

r-arpr 0.1.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/statnmap/arpr
Licenses: GPL 3+
Build system: r
Synopsis: Advanced R Pipes
Description:

This package provides convenience functions for programming with magrittr pipes. Conditional pipes, a string prefixer and a function to pipe the given object into a specific argument given by character name are currently supported. It is named after the dadaist Hans Arp, a friend of Rene Magritte.

r-adapdiscom 1.0.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://doi.org/10.48550/arXiv.2508.00120
Licenses: GPL 3
Build system: r
Synopsis: Adaptive Sparse Regression for Block Missing Multimodal Data
Description:

This package provides adaptive direct sparse regression for high-dimensional multimodal data with heterogeneous missing patterns and measurement errors. AdapDISCOM extends the DISCOM framework with modality-specific adaptive weighting to handle varying data structures and error magnitudes across blocks. The method supports flexible block configurations (any K blocks) and includes robust variants for heavy-tailed distributions ('AdapDISCOM'-Huber) and fast implementations for large-scale applications (Fast-'AdapDISCOM'). Designed for realistic multimodal scenarios where different data sources exhibit distinct missing data patterns and contamination levels. Diakité et al. (2025) <doi:10.48550/arXiv.2508.00120>.

r-allcontributors 0.2.2
Propagated dependencies: r-magrittr@2.0.4 r-gitcreds@0.1.2 r-gh@1.5.0 r-gert@2.2.0 r-curl@7.0.0 r-clipr@0.8.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/ropensci/allcontributors
Licenses: GPL 3
Build system: r
Synopsis: Acknowledge all Contributors to a Project
Description:

Acknowledge all contributors to a project via a single function call. The function appends to a README or other specified file(s) a table with names of all individuals who contributed via code or repository issues. The package also includes several additional functions to extract and quantify contributions to any repository.

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>).

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