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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-augsimex 3.7.4
Propagated dependencies: r-rcpp@1.1.0 r-nleqslv@3.3.5 r-mass@7.3-65 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=augSIMEX
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
Description:

Implementation of the augmented Simulation-Extrapolation (SIMEX) algorithm proposed by Yi et al. (2015) <doi:10.1080/01621459.2014.922777> for analyzing the data with mixed measurement error and misclassification. The main function provides a similar summary output as that of glm() function. Both parametric and empirical SIMEX are considered in the package.

r-autoharp 0.2.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://singator.github.io/autoharp-docs/
Licenses: Expat
Build system: r
Synopsis: Semi-Automatic Grading of R and Rmd Scripts
Description:

This package provides a customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.

r-anybadger 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/lmeninato/anybadger
Licenses: Expat
Build system: r
Synopsis: Create Custom Pipeline Badges
Description:

You can use this package to create custom pipeline badges in a standard svg format. This is useful for a company to use internally, where it may not be possible to create badges through external providers. This project was inspired by the anybadge library in python.

r-airgriwrm 0.7.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://inrae.github.io/airGRiwrm/
Licenses: AGPL 3
Build system: r
Synopsis: 'airGR' Integrated Water Resource Management
Description:

Semi-distributed Precipitation-Runoff Modeling based on airGR package models integrating human infrastructures and their managements.

r-aws-iam 0.1.8
Propagated dependencies: r-xml2@1.5.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-aws-signature@0.6.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/cloudyr/aws.iam
Licenses: GPL 2+
Build system: r
Synopsis: AWS IAM Client Package
Description:

This package provides a simple client for the Amazon Web Services ('AWS') Identity and Access Management ('IAM') API <https://aws.amazon.com/iam/>.

r-abwm 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=abwm
Licenses: Expat
Build system: r
Synopsis: Ansari-Bradley Test with Arbitrarily Missing Data
Description:

This package performs the two-sample Ansariâ Bradley test (Ansari & Bradley, 1960 <https://www.jstor.org/stable/2237814>) for univariate, distinct data in the presence of missing values, as described in Zeng et al. (2025) <doi:10.48550/arXiv.2509.20332>. This method does not make any assumptions about the missingness mechanisms and controls the Type I error regardless of the missing values by taking all possible missing values into account.

r-affinitymatrix 0.1.0
Propagated dependencies: r-mass@7.3-65 r-hmisc@5.2-4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=affinitymatrix
Licenses: GPL 3
Build system: r
Synopsis: Estimation of Affinity Matrix
Description:

This package provides tools to study sorting patterns in matching markets and to estimate the affinity matrix of both the bipartite one-to-one matching model without frictions and with Transferable Utility by Dupuy and Galichon (2014) <doi:10.1086/677191> and its unipartite variant by Ciscato', Galichon and Gousse (2020) <doi:10.1086/704611>. It also contains all the necessary tools to implement the saliency analysis, to run rank tests of the affinity matrix and to build tables and plots summarizing the findings.

r-acroname 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=acroname
Licenses: GPL 3
Build system: r
Synopsis: Engine for Acronyms and Initialisms
Description:

This package provides a tool for generating acronyms and initialisms from arbitrary text input.

r-adsorptioncv 0.1.0
Propagated dependencies: r-nls2@0.3-4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=adsoRptionCV
Licenses: GPL 3
Build system: r
Synopsis: Cross-Validation Methods for Adsorption Isotherm Models
Description:

This package provides cross-validation tools for adsorption isotherm models, supporting both linear and non-linear forms. Current methods cover commonly used isotherms including the Freundlich, Langmuir, and Temkin models. This package implements K-fold and leave-one-out cross-validation (LOOCV) with optional clustering-based fold assignment to preserve underlying data structures during validation. Model predictive performance is assessed using mean squared error (MSE), with optional graphical visualization of fold-wise MSEs to support intuitive evaluation of model accuracy. This package is intended to facilitate rigorous model validation in adsorption studies and aid researchers in selecting robust isotherm models. For more details, see Montgomery et al. (2012) <isbn: 978-0-470-54281-1>, Lumumba et al. (2024) <doi:10.11648/j.ajtas.20241305.13>, and Yates et al. (2022) <doi:10.1002/ecm.1557>.

r-ample 1.0.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/PacificCommunity/ofp-sam-ample
Licenses: GPL 3+
Build system: r
Synopsis: Shiny Apps to Support Capacity Building on Harvest Control Rules
Description:

Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. Introduction to HCRs provides a simple overview to how HCRs work. Users are able to select their own HCR and step through its performance, year by year. Biological variability and estimation uncertainty are introduced. Measuring performance builds on the previous app and introduces the idea of using performance indicators to measure HCR performance. Comparing performance allows multiple HCRs to be created and tested, and their performance compared so that the preferred HCR can be selected.

r-ate-error 1.0.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ATE.ERROR
Licenses: GPL 3+
Build system: r
Synopsis: Estimating ATE with Misclassified Outcomes and Mismeasured Covariates
Description:

Addressing measurement error in covariates and misclassification in binary outcome variables within causal inference, the ATE.ERROR package implements inverse probability weighted estimation methods proposed by Shu and Yi (2017, <doi:10.1177/0962280217743777>; 2019, <doi:10.1002/sim.8073>). These methods correct errors to accurately estimate average treatment effects (ATE). The package includes two main functions: ATE.ERROR.Y() for handling misclassification in the outcome variable and ATE.ERROR.XY() for correcting both outcome misclassification and covariate measurement error. It employs logistic regression for treatment assignment and uses bootstrap sampling to calculate standard errors and confidence intervals, with simulated datasets provided for practical demonstration.

r-adbi 0.1.2
Propagated dependencies: r-nanoarrow@0.7.0-1 r-dbi@1.2.3 r-adbcdrivermanager@0.21.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://adbi.r-dbi.org
Licenses: LGPL 2.1+
Build system: r
Synopsis: 'DBI' Compliant Database Access Using 'ADBC'
Description:

In order to make Arrow Database Connectivity ('ADBC <https://arrow.apache.org/adbc/>) accessible from R, an interface compliant with the DBI package is provided, using driver back-ends that are implemented in the adbcdrivermanager framework. This enables interacting with database systems using the Arrow data format, thereby offering an efficient alternative to ODBC for analytical applications.

r-aoboot 0.1.2
Propagated dependencies: r-lsr@0.5.2 r-emmeans@2.0.0 r-cardata@3.0-5 r-afex@1.5-0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AOboot
Licenses: GPL 2+
Build system: r
Synopsis: Bootstrapping in Different One-Way and Two-Way ANOVA
Description:

To address the violation of the assumption of normally distributed variables, researchers frequently employ bootstrapping. Building upon established packages for R (Sigmann et al. (2024) <doi:10.32614/CRAN.package.afex>, Lenth (2024) <doi:10.32614/CRAN.package.emmeans>), we provide bootstrapping functions to approximate a normal distribution of the parameter estimates for between-subject, within-subject, and mixed one-way and two-way ANOVA.

r-aeenrich 1.1.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/umich-biostatistics/AEenrich
Licenses: GPL 2
Build system: r
Synopsis: Adverse Event Enrichment Tests
Description:

We extend existing gene enrichment tests to perform adverse event enrichment analysis. Unlike the continuous gene expression data, adverse event data are counts. Therefore, adverse event data has many zeros and ties. We propose two enrichment tests. One is a modified Fisher's exact test based on pre-selected significant adverse events, while the other is based on a modified Kolmogorov-Smirnov statistic. We add Covariate adjustment to improve the analysis."Adverse event enrichment tests using VAERS" Shuoran Li, Lili Zhao (2020) <doi:10.48550/arXiv.2007.02266>.

r-alassosurvic 0.1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ALassoSurvIC
Licenses: GPL 3+
Build system: r
Synopsis: Adaptive Lasso for the Cox Regression with Interval Censored and Possibly Left Truncated Data
Description:

Penalized variable selection tools for the Cox proportional hazards model with interval censored and possibly left truncated data. It performs variable selection via penalized nonparametric maximum likelihood estimation with an adaptive lasso penalty. The optimal thresholding parameter can be searched by the package based on the profile Bayesian information criterion (BIC). The asymptotic validity of the methodology is established in Li et al. (2019 <doi:10.1177/0962280219856238>). The unpenalized nonparametric maximum likelihood estimation for interval censored and possibly left truncated data is also available.

r-asgs-foyer 0.3.3
Propagated dependencies: r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ASGS.foyer
Licenses: FSDG-compatible
Build system: r
Synopsis: Interface to the Australian Statistical Geography Standard
Description:

The Australian Statistical Geography Standard ('ASGS') is a set of shapefiles by the Australian Bureau of Statistics. This package provides an interface to those shapefiles, as well as methods for converting coordinates to shapefiles.

r-accessrmd 1.0.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=accessrmd
Licenses: Expat
Build system: r
Synopsis: Improving the Accessibility of 'rmarkdown' Documents
Description:

This package provides a simple method to improve the accessibility of rmarkdown documents. The package provides functions for creating or modifying rmarkdown documents, resolving known errors and alerts that result in accessibility issues for screen reader users.

r-autoscore 1.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/nliulab/AutoScore
Licenses: GPL 2+
Build system: r
Synopsis: An Interpretable Machine Learning-Based Automatic Clinical Score Generator
Description:

This package provides a novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.

r-autovi 0.4.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://tengmcing.github.io/autovi/
Licenses: Expat
Build system: r
Synopsis: Auto Visual Inference with Computer Vision Models
Description:

This package provides automated visual inference of residual plots using computer vision models, facilitating diagnostic checks for classical normal linear regression models.

r-aerosampler 0.3.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AeroSampleR
Licenses: GPL 3
Build system: r
Synopsis: Estimate Aerosol Particle Collection Through Sample Lines
Description:

Estimate ideal efficiencies of aerosol sampling through sample lines. Functions were developed consistent with the approach described in Hogue, Mark; Thompson, Martha; Farfan, Eduardo; Hadlock, Dennis, (2014), "Hand Calculations for Transport of Radioactive Aerosols through Sampling Systems" Health Phys 106, 5, S78-S87, <doi:10.1097/HP.0000000000000092>.

r-arctosr 0.1.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/hrhwilliams/arctosr
Licenses: GPL 3
Build system: r
Synopsis: An Interface to the 'Arctos' Database
Description:

This package performs requests to the Arctos API to download data. Provides a set of builder classes for performing complex requests, as well as a set of simple functions for automating many common requests and workflows. More information about Arctos can be found in Cicero et al. (2024) <doi:10.1371/journal.pone.0296478> or on their website <https://arctosdb.org/>.

r-affinity 0.2.5
Propagated dependencies: r-reproj@0.7.0 r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/hypertidy/affinity
Licenses: GPL 3
Build system: r
Synopsis: Raster Georeferencing, Grid Affine Transforms, Cell Abstraction
Description:

This package provides tools for raster georeferencing, grid affine transforms, and general raster logic. These functions provide converters between raster specifications, world vector, geotransform, RasterIO window, and RasterIO window in sf package list format. There are functions to offset a matrix by padding any of four corners (useful for vectorizing neighbourhood operations), and helper functions to harvesting user clicks on a graphics device to use for simple georeferencing of images. Methods used are available from <https://en.wikipedia.org/wiki/World_file> and <https://gdal.org/user/raster_data_model.html>.

r-activelearning4spm 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ActiveLearning4SPM
Licenses: GPL 3
Build system: r
Synopsis: Active Learning for Process Monitoring
Description:

This package implements the methodology introduced in Capezza, Lepore, and Paynabar (2025) <doi:10.1080/00401706.2025.2561744> for process monitoring with limited labeling resources. The package provides functions to (i) simulate data streams with true latent states and multivariate Gaussian observations as done in the paper, (ii) fit partially hidden Markov models (pHMMs) using a constrained Baum-Welch algorithm with partial labels, and (iii) perform stream-based active learning that balances exploration and exploitation to decide whether to request labels in real time. The methodology is particularly suited for statistical process monitoring in industrial applications where labeling is costly.

r-alphahull 2.5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=alphahull
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Generalization of the Convex Hull of a Sample of Points in the Plane
Description:

Computation of the alpha-shape and alpha-convex hull of a given sample of points in the plane. The concepts of alpha-shape and alpha-convex hull generalize the definition of the convex hull of a finite set of points. The programming is based on the duality between the Voronoi diagram and Delaunay triangulation. The package also includes a function that returns the Delaunay mesh of a given sample of points and its dual Voronoi diagram in one single object.

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