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

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-rlas 1.8.4
Propagated dependencies: r-rcpp@1.1.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/r-lidar/rlas
Licenses: GPL 3
Build system: r
Synopsis: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description:

Read and write las and laz binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.

r-readapra 0.2.1
Propagated dependencies: r-tidyxl@1.0.10 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringdist@0.9.15 r-rvest@1.0.5 r-robotstxt@0.7.15 r-rlang@1.1.6 r-ratelimitr@0.4.2 r-purrr@1.2.0 r-polite@0.1.3 r-memoise@2.0.1 r-lubridate@1.9.4 r-janitor@2.2.1 r-httr@1.4.7 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/javanderwal/readapra
Licenses: Expat
Build system: r
Synopsis: Download and Tidy Data from the Australian Prudential Regulation Authority
Description:

Download the latest data from the Australian Prudential Regulation Authority <https://www.apra.gov.au/> and import it into R as a tidy data frame.

r-rstackdeque 1.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/oneilsh/rstackdeque
Licenses: Expat
Build system: r
Synopsis: Persistent Fast Amortized Stack and Queue Data Structures
Description:

This package provides fast, persistent (side-effect-free) stack, queue and deque (double-ended-queue) data structures. While deques include a superset of functionality provided by queues, in these implementations queues are more efficient in some specialized situations. See the documentation for rstack, rdeque, and rpqueue for details.

r-reat 3.0.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=REAT
Licenses: GPL 2+
Build system: r
Synopsis: Regional Economic Analysis Toolbox
Description:

Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.

r-rxode2ll 2.0.13
Propagated dependencies: r-stanheaders@2.32.10 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-checkmate@2.3.3 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://nlmixr2.github.io/rxode2ll/
Licenses: GPL 3+
Build system: r
Synopsis: Log-Likelihood Functions for 'rxode2'
Description:

This package provides the log-likelihoods with gradients from stan (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in nlmixr2 (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling rxode2 (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the nlmixr2 models during estimation.

r-rcmdrplugin-riskdemo 3.3
Propagated dependencies: r-zoo@1.8-14 r-scales@1.4.0 r-rcmdr@2.9-5 r-ggplot2@4.0.1 r-ftsa@6.6 r-forecast@8.24.0 r-dplyr@1.1.4 r-demography@2.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RcmdrPlugin.RiskDemo
Licenses: GPL 2
Build system: r
Synopsis: R Commander Plug-in for Risk Demonstration
Description:

R Commander plug-in to demonstrate various actuarial and financial risks. It includes valuation of bonds and stocks, portfolio optimization, classical ruin theory, demography and epidemic.

r-rdataretriever 3.1.1
Dependencies: python@3.11.14
Propagated dependencies: r-semver@0.2.0 r-reticulate@1.44.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rdataretriever/
Licenses: Expat
Build system: r
Synopsis: R Interface to the Data Retriever
Description:

This package provides an R interface to the Data Retriever <https://retriever.readthedocs.io/en/latest/> via the Data Retriever's command line interface. The Data Retriever automates the tasks of finding, downloading, and cleaning public datasets, and then stores them in a local database.

r-rairtable 0.1.2
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-progress@1.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://matthewjrogers.github.io/rairtable/
Licenses: Expat
Build system: r
Synopsis: Efficient Wrapper for the 'Airtable' API
Description:

Efficient CRUD interface for the Airtable API <https://airtable.com/developers/web/api>, supporting batch requests and parallel encoding of large data sets.

r-risks 0.4.3
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sandwich@3.1-1 r-rlang@1.1.6 r-purrr@1.2.0 r-dplyr@1.1.4 r-broom@1.0.10 r-boot@1.3-32 r-bcaboot@0.2-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://stopsack.github.io/risks/
Licenses: GPL 3
Build system: r
Synopsis: Estimate Risk Ratios and Risk Differences using Regression
Description:

Risk ratios and risk differences are estimated using regression models that allow for binary, categorical, and continuous exposures and confounders. Implemented are marginal standardization after fitting logistic models (g-computation) with delta-method and bootstrap standard errors, Miettinen's case-duplication approach (Schouten et al. 1993, <doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting values from Poisson models (Spiegelman and Hertzmark 2005, <doi:10.1093/aje/kwi188>), and others.

r-rockx 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rockx
Licenses: Expat
Build system: r
Synopsis: Easily Import Data from Your 'ODK-X Sync Endpoint'
Description:

This package provides helper functions for authenticating and retrieving data from your ODK-X Sync Endpoint'. This is an early release intended for testing and feedback.

r-rvertnet 0.8.4
Propagated dependencies: r-tibble@3.3.0 r-maps@3.4.3 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ropensci/rvertnet
Licenses: Expat
Build system: r
Synopsis: Search 'Vertnet', a 'Database' of Vertebrate Specimen Records
Description:

Retrieve, map and summarize data from the VertNet.org archives (<https://vertnet.org/>). Functions allow searching by many parameters, including taxonomic names, places, and dates. In addition, there is an interface for conducting spatially delimited searches, and another for requesting large datasets via email.

r-riaci 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-reticulate@1.44.1 r-readr@2.1.6 r-rcpp@1.1.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ecmwfr@2.0.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rIACI
Licenses: GPL 3
Build system: r
Synopsis: Iberian Actuarial Climate Index Calculations
Description:

Calculates the Iberian Actuarial Climate Index and its componentsâ including temperature, precipitation, wind power, and sea level dataâ to support climate change analysis and risk assessment. See "Zhou et al." (2023) <doi:10.26360/2023_3> for further details.

r-rdatacite 0.5.4
Propagated dependencies: r-tibble@3.3.0 r-jsonlite@2.0.0 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rdatacite/
Licenses: Expat
Build system: r
Synopsis: Client for the 'DataCite' API
Description:

Client for the web service methods provided by DataCite (<https://www.datacite.org/>), including functions to interface with their RESTful search API. The API is backed by Elasticsearch', allowing expressive queries, including faceting.

r-rsda 3.2.5
Propagated dependencies: r-xtable@1.8-4 r-xml@3.99-0.20 r-vctrs@0.6.5 r-umap@0.2.10.0 r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sqldf@0.4-11 r-scales@1.4.0 r-rpart@4.1.24 r-rlang@1.1.6 r-rjsonio@2.0.0 r-reshape@0.8.10 r-randomforest@4.7-1.2 r-randomcolor@1.1.0.1 r-purrr@1.2.0 r-princurve@2.1.6 r-plotly@4.11.0 r-nloptr@2.2.1 r-neuralnet@1.44.2 r-magrittr@2.0.4 r-kknn@1.4.1 r-glmnet@4.1-10 r-ggrepel@0.9.6 r-ggpolypath@0.4.0 r-ggplot2@4.0.1 r-gbm@2.2.2 r-forcats@1.0.1 r-factominer@2.12 r-e1071@1.7-16 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://oldemarrodriguez.com/
Licenses: GPL 2+
Build system: r
Synopsis: R to Symbolic Data Analysis
Description:

Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.

r-rbf 2.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RBF
Licenses: GPL 3+
Build system: r
Synopsis: Robust Backfitting
Description:

This package provides a robust backfitting algorithm for additive models based on (robust) local polynomial kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and it computes predictions for points outside the training set if desired. See Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> and Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.

r-rniftyreg 2.8.4
Propagated dependencies: r-rnifti@1.8.0 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jonclayden/RNiftyReg
Licenses: GPL 2
Build system: r
Synopsis: Image Registration Using the 'NiftyReg' Library
Description:

This package provides an R interface to the NiftyReg image registration tools <https://github.com/KCL-BMEIS/niftyreg>. Linear and nonlinear registration are supported, in two and three dimensions.

r-rbe3 1.1
Propagated dependencies: r-pracma@2.4.6 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RBE3
Licenses: GPL 2+
Build system: r
Synopsis: Estimation and Additional Tools for Quantile Generalized Beta Regression Model
Description:

Provide estimation and data generation tools for the quantile generalized beta regression model. For details, see Bourguignon, Gallardo and Saulo <arXiv:2110.04428> The package also provides tools to perform covariates selection.

r-records 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Records
Licenses: GPL 2+
Build system: r
Synopsis: Record Values and Record Times
Description:

This package provides functions for generating k-record values and k-record times.

r-rlog 0.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/sellorm/rlog
Licenses: Expat
Build system: r
Synopsis: Simple, Opinionated Logging Utility
Description:

This package provides a very lightweight package that writes out log messages in an opinionated way. Simpler and lighter than other logging packages, rlog provides a compact feature set that focuses on getting the job done in a Unix-like way.

r-rqdatatable 1.3.3
Propagated dependencies: r-wrapr@2.1.0 r-rquery@1.4.99 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/WinVector/rqdatatable/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: 'rquery' for 'data.table'
Description:

This package implements the rquery piped Codd-style query algebra using data.table'. This allows for a high-speed in memory implementation of Codd-style data manipulation tools.

r-rmfrac 0.1.1
Propagated dependencies: r-zoo@1.8-14 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rlang@1.1.6 r-proxy@0.4-27 r-plotly@4.11.0 r-parallelly@1.45.1 r-matrixstats@1.5.0 r-ggplot2@4.0.1 r-foreach@1.5.2 r-fields@17.1 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/Nemini-S/Rmfrac
Licenses: GPL 3
Build system: r
Synopsis: Simulation and Statistical Analysis of Multifractional Processes
Description:

Simulation of several fractional and multifractional processes. Includes Brownian and fractional Brownian motions, bridges and Gaussian Haar-based multifractional processes (GHBMP). Implements the methods from Ayache, Olenko and Samarakoon (2025) <doi:10.48550/arXiv.2503.07286> for simulation of GHBMP. Estimation of Hurst functions and local fractal dimension. Clustering realisations based on the Hurst functions. Several functions to estimate and plot geometric statistics of the processes and time series. Provides a shiny application for interactive use of the functions from the package.

r-robustmetrics 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/BernhardKlar/RobustMetrics
Licenses: GPL 3+
Build system: r
Synopsis: Calculates Robust Performance Metrics for Imbalanced Classification Problems
Description:

Calculates robust Matthews Correlation Coefficient (MCC) and robust F-Beta Scores, as introduced by Holzmann and Klar (2024) <doi:10.48550/arXiv.2404.07661>. These performance metrics are designed for imbalanced classification problems. Plots the receiver operating characteristic curve (ROC curve) together with the recall / 1-precision curve.

r-rfae 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-rspectra@0.16-2 r-rann@2.6.2 r-ranger@0.17.0 r-mgcv@1.9-4 r-matrix@1.7-4 r-foreach@1.5.2 r-data-table@1.17.8 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/bips-hb/RFAE
Licenses: GPL 3+
Build system: r
Synopsis: Autoencoding Random Forests
Description:

Autoencoding Random Forests ('RFAE') provide a method to autoencode mixed-type tabular data using Random Forests ('RF'), which involves projecting the data to a latent feature space of user-chosen dimensionality (usually a lower dimension), and then decoding the latent representations back into the input space. The encoding stage is useful for feature engineering and data visualisation tasks, akin to how principal component analysis ('PCA') is used, and the decoding stage is useful for compression and denoising tasks. At its core, RFAE is a post-processing pipeline on a trained random forest model. This means that it can accept any trained RF of ranger object type: RF', URF or ARF'. Because of this, it inherits Random Forests robust performance and capacity to seamlessly handle mixed-type tabular data. For more details, see Vu et al. (2025) <doi:10.48550/arXiv.2505.21441>.

r-rppaspace 1.0.10
Propagated dependencies: r-timedate@4051.111 r-tiff@0.1-12 r-sparsem@1.84-2 r-robustbase@0.99-6 r-quantreg@6.1 r-png@0.1-8 r-nlme@3.1-168 r-mgcv@1.9-4 r-jpeg@0.1-11 r-iterators@1.0.14 r-imager@1.0.5 r-foreach@1.5.2 r-doparallel@1.0.17 r-cobs@1.3-9-1 r-bmp@0.3.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://pubmed.ncbi.nlm.nih.gov/36205581
Licenses: Artistic License 2.0
Build system: r
Synopsis: Reverse-Phase Protein Array Super Position and Concentration Evaluation
Description:

This package provides tools for the analysis of reverse-phase protein arrays (RPPAs), which are also known as tissue lysate arrays or simply lysate arrays'. The package's primary purpose is to input a set of quantification files representing dilution series of samples and control points taken from scanned RPPA slides and determine a relative log concentration value for each valid dilution series present in each slide and provide graphical visualization of the input and output data and their relationships. Other optional features include generation of quality control scores for judging the quality of the input data, spatial adjustment of sample points based on controls added to the slides, and various types of normalization of calculated values across a set of slides. The package was derived from a previous package named SuperCurve. For a detailed description of data inputs and outputs, usage information, and a list of related papers describing methods used in the package please review the vignette Guide_to_RPPASPACE'. RPPA SPACE: an R package for normalization and quantitation of Reverse-Phase Protein Array data'. Bioinformatics Nov 15;38(22):5131-5133. <doi: 10.1093/bioinformatics/btac665>.

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