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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-ccdr 1.1.0
Propagated dependencies: r-urltools@1.7.3.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/USEPA/ccdR
Licenses: GPL 3+
Build system: r
Synopsis: Utilities for Interacting with the 'CTX' APIs
Description:

Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://api-ccte.epa.gov/docs/>. ccdR was developed to streamline the process of accessing the information available through the CTX APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.

r-checked 0.5.1
Propagated dependencies: r-rlang@1.1.6 r-rcmdcheck@1.4.0 r-r6@2.6.1 r-options@0.3.1 r-memoise@2.0.1 r-jsonlite@2.0.0 r-igraph@2.2.1 r-glue@1.8.0 r-cli@3.6.5 r-callr@3.7.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://Genentech.github.io/checked/
Licenses: Expat
Build system: r
Synopsis: Systematically Run R CMD Checks
Description:

Systematically Run R checks against multiple packages. Checks are run in parallel with strategies to minimize dependency installation. Provides out of the box interface for running reverse dependency check.

r-cvms 2.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-recipes@1.3.1 r-rearrr@0.3.5 r-purrr@1.2.0 r-proc@1.19.0.1 r-plyr@1.8.9 r-parameters@0.28.3 r-mumin@1.48.11 r-lme4@1.1-37 r-lifecycle@1.0.4 r-groupdata2@2.0.5 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ludvigolsen/cvms
Licenses: Expat
Build system: r
Synopsis: Cross-Validation for Model Selection
Description:

Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).

r-covrobust 1.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covRobust
Licenses: GPL 2+
Build system: r
Synopsis: Robust Covariance Estimation via Nearest Neighbor Cleaning
Description:

The cov.nnve() function implements robust covariance estimation by the nearest neighbor variance estimation (NNVE) method of Wang and Raftery (2002) <DOI:10.1198/016214502388618780>.

r-condmvnorm 2025.1
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=condMVNorm
Licenses: GPL 2
Build system: r
Synopsis: Conditional Multivariate Normal Distribution
Description:

Computes conditional multivariate normal densities, probabilities, and random deviates.

r-censspatial 3.6
Propagated dependencies: r-tmvtnorm@1.7 r-tlrmvnmvt@1.1.2.1 r-rcpp@1.1.0 r-raster@3.6-32 r-psych@2.5.6 r-optimx@2025-4.9 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-msm@1.8.2 r-moments@0.14.1 r-lattice@0.22-7 r-geor@1.9-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CensSpatial
Licenses: GPL 2+
Build system: r
Synopsis: Censored Spatial Models
Description:

It fits linear regression models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. It also offers graphical tools for assessing the fitted model. More details can be found in Ordonez et al. (2018) <doi:10.1016/j.spasta.2017.12.001>.

r-consreg 0.1.0
Propagated dependencies: r-rsolnp@2.0.1 r-rlang@1.1.6 r-rcpp@1.1.0 r-nloptr@2.2.1 r-metrics@0.1.4 r-mcmcpack@1.7-1 r-ggplot2@4.0.1 r-gensa@1.1.15 r-ga@3.2.4 r-forecast@8.24.0 r-fme@1.3.6.4 r-dfoptim@2023.1.0 r-deoptim@2.2-8 r-data-table@1.17.8 r-adaptmcmc@1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/puigjos/ConsReg
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Fits Regression & ARMA Models Subject to Constraints to the Coefficient
Description:

Fits or generalized linear models either a regression with Autoregressive moving-average (ARMA) errors for time series data. The package makes it easy to incorporate constraints into the model's coefficients. The model is specified by an objective function (Gaussian, Binomial or Poisson) or an ARMA order (p,q), a vector of bound constraints for the coefficients (i.e beta1 > 0) and the possibility to incorporate restrictions among coefficients (i.e beta1 > beta2). The references of this packages are the same as stats package for glm() and arima() functions. See Brockwell, P. J. and Davis, R. A. (1996, ISBN-10: 9783319298528). For the different optimizers implemented, it is recommended to consult the documentation of the corresponding packages.

r-chores 0.3.1
Propagated dependencies: r-streamy@0.2.1 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-miniui@0.1.2 r-glue@1.8.0 r-ellmer@0.4.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/simonpcouch/chores
Licenses: Expat
Build system: r
Synopsis: Collection of Large Language Model Assistants
Description:

This package provides a collection of ergonomic large language model assistants designed to help you complete repetitive, hard-to-automate tasks quickly. After selecting some code, press the keyboard shortcut you've chosen to trigger the package app, select an assistant, and watch your chore be carried out. While the package ships with a number of chore helpers for R package development, users can create custom helpers just by writing some instructions in a markdown file.

r-cbsodatar 1.2.1
Propagated dependencies: r-whisker@0.4.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/edwindj/cbsodataR
Licenses: GPL 2
Build system: r
Synopsis: Statistics Netherlands (CBS) Open Data API Client
Description:

The data and meta data from Statistics Netherlands (<https://www.cbs.nl>) can be browsed and downloaded. The client uses the open data API of Statistics Netherlands.

r-convolutioner 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Convolutioner
Licenses: GPL 3
Build system: r
Synopsis: Convolution of Data
Description:

General functions for convolutions of data. Moving average, running median, and other filters are available. Bibliography regarding the functions can be found in the following text. Richard G. Brereton (2003) <ISBN:9780471489771>.

r-catastro 1.0.0
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-terra@1.8-86 r-sf@1.0-23 r-rappdirs@0.3.3 r-mapspain@1.0.0 r-lifecycle@1.0.4 r-httr2@1.2.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ropenspain.github.io/CatastRo/
Licenses: GPL 2
Build system: r
Synopsis: Interface to the API 'Sede Electronica Del Catastro'
Description:

Access public spatial data available under the INSPIRE directive. Tools for downloading references and addresses of properties, as well as map images.

r-chainladder 0.2.21
Propagated dependencies: r-tweedie@2.3.5 r-systemfit@1.1-30 r-statmod@1.5.1 r-matrix@1.7-4 r-mass@7.3-65 r-lattice@0.22-7 r-ggplot2@4.0.1 r-cplm@0.7-12.1 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mages.github.io/ChainLadder/
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Methods and Models for Claims Reserving in General Insurance
Description:

Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.

r-cre-dcf 0.0.3
Propagated dependencies: r-yaml@2.3.10 r-tibble@3.3.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cre.dcf
Licenses: Expat
Build system: r
Synopsis: Discounted Cash Flow Tools for Commercial Real Estate
Description:

This package provides R utilities to build unlevered and levered discounted cash flow (DCF) tables for commercial real estate (CRE) assets. Functions generate bullet and amortising debt schedules, compute credit metrics such as debt coverage ratios (DCR), debt service coverage ratios (DSCR), interest coverage ratios, debt yield ratios, and forward loan-to-value ratios (LTV) based on net operating income (NOI). The toolkit evaluates refinancing feasibility under alternative market scenarios and supports end-to-end scenario execution from a YAML (YAML Ain't Markup Language) configuration file parsed with yaml'. Includes helpers for sensitivity analysis, covenant diagnostics, and reproducible vignettes.

r-ctmcmove 1.2.10
Propagated dependencies: r-sp@2.2-0 r-raster@3.6-32 r-matrix@1.7-4 r-gdistance@1.6.5 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ctmcmove
Licenses: GPL 2
Build system: r
Synopsis: Modeling Animal Movement with Continuous-Time Discrete-Space Markov Chains
Description:

Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework. As described in Hanks et al. (2015) <DOI:10.1214/14-AOAS803> , this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

r-changepointsvar 0.1.2
Propagated dependencies: r-mass@7.3-65 r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=changepointsVar
Licenses: GPL 2
Build system: r
Synopsis: Change-Points Detections for Changes in Variance
Description:

Detection of change-points for variance of heteroscedastic Gaussian variables with piecewise constant variance function. Adelfio, G. (2012), Change-point detection for variance piecewise constant models, Communications in Statistics, Simulation and Computation, 41:4, 437-448, <doi:10.1080/03610918.2011.592248>.

r-conrad 1.0.0.1
Propagated dependencies: r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/fhdsl/conrad
Licenses: Expat
Build system: r
Synopsis: Client for the Microsoft's 'Cognitive Services Text to Speech REST' API
Description:

Convert text into synthesized speech and get a list of supported voices for a region. Microsoft's Cognitive Services Text to Speech REST API <https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/rest-text-to-speech?tabs=streaming> supports neural text to speech voices, which support specific languages and dialects that are identified by locale.

r-compositionalml 1.0
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 r-ranger@0.17.0 r-foreach@1.5.2 r-e1071@1.7-16 r-doparallel@1.0.17 r-compositional@8.1 r-boruta@9.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CompositionalML
Licenses: GPL 2+
Build system: r
Synopsis: Machine Learning with Compositional Data
Description:

Machine learning algorithms for predictor variables that are compositional data and the response variable is either continuous or categorical. Specifically, the Boruta variable selection algorithm, random forest, support vector machines and projection pursuit regression are included. Relevant papers include: Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451> and Alenazi, A. (2023). "A review of compositional data analysis and recent advances". Communications in Statistics--Theory and Methods, 52(16): 5535--5567. <doi:10.1080/03610926.2021.2014890>.

r-camea 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-purrr@1.2.0 r-metafor@4.8-0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CaMeA
Licenses: AGPL 3+
Build system: r
Synopsis: Causal Meta-Analysis for Aggregated Data
Description:

This package provides a tool for causal meta-analysis. This package implements the aggregation formulas and inference methods proposed in Berenfeld et al. (2025) <doi:10.48550/arXiv.2505.20168>. Users can input aggregated data across multiple studies and compute causally meaningful aggregated effects of their choice (risk difference, risk ratio, odds ratio, etc) under user-specified population weighting. The built-in function camea() allows to obtain precise variance estimates for these effects and to compare the latter to a classical meta-analysis aggregate, the random effect model, as implemented in the metafor package <https://CRAN.R-project.org/package=metafor>.

r-causalgps 0.5.1
Propagated dependencies: r-xgboost@1.7.11.1 r-wcorr@1.9.8 r-superlearner@2.0-29 r-rlang@1.1.6 r-rcpp@1.1.0 r-polycor@0.8-1 r-mass@7.3-65 r-logger@0.4.1 r-locpol@0.9.0 r-kernsmooth@2.23-26 r-gnm@1.1-5 r-ggplot2@4.0.1 r-gam@1.22-6 r-ecume@0.9.2 r-data-table@1.17.8 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/NSAPH-Software/CausalGPS
Licenses: GPL 3
Build system: r
Synopsis: Matching on Generalized Propensity Scores with Continuous Exposures
Description:

This package provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.

r-coremicrobiomer 0.1.0
Propagated dependencies: r-vegan@2.7-2 r-srs@0.2.3 r-reshape2@1.4.5 r-plotly@4.11.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-fastmatch@1.1-6 r-edger@4.8.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoreMicrobiomeR
Licenses: GPL 3
Build system: r
Synopsis: Identification of Core Microbiome
Description:

The Core Microbiome refers to the group of microorganisms that are consistently present in a particular environment, habitat, or host species. These microorganisms play a crucial role in the functioning and stability of that ecosystem. Identifying these microorganisms can contribute to the emerging field of personalized medicine. The CoreMicrobiomeR is designed to facilitate the identification, statistical testing, and visualization of this group of microorganisms.This package offers three key functions to analyze and visualize microbial community data. This package has been developed based on the research papers published by Pereira et al.(2018) <doi:10.1186/s12864-018-4637-6> and Beule L, Karlovsky P. (2020) <doi:10.7717/peerj.9593>.

r-clsiep15 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CLSIEP15
Licenses: Expat
Build system: r
Synopsis: Clinical and Laboratory Standards Institute (CLSI) EP15-A3 Calculations
Description:

Calculations of "EP15-A3 document. A manual for user verification of precision and estimation of bias" CLSI (2014, ISBN:1-56238-966-1).

r-crassmat 0.0.6
Propagated dependencies: r-svmisc@1.4.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crassmat
Licenses: GPL 3
Build system: r
Synopsis: Conditional Random Sampling Sparse Matrices
Description:

Conducts conditional random sampling on observed values in sparse matrices. Useful for training and test set splitting sparse matrices prior to model fitting in cross-validation procedures and estimating the predictive accuracy of data imputation methods, such as matrix factorization or singular value decomposition (SVD). Although designed for applications with sparse matrices, CRASSMAT can also be applied to complete matrices, as well as to those containing missing values.

r-cliapp 0.1.2
Propagated dependencies: r-xml2@1.5.0 r-withr@3.0.2 r-selectr@0.5-0 r-r6@2.6.1 r-progress@1.2.3 r-prettycode@1.1.0 r-glue@1.8.0 r-fansi@1.0.7 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/r-lib/cliapp#readme
Licenses: Expat
Build system: r
Synopsis: Create Rich Command Line Applications
Description:

Create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes. This package is now superseded by the cli package. Please use cli instead in new projects.

r-comradesm 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ComradesM
Licenses: GPL 2+
Build system: r
Synopsis: The Comrades Marathon 1921 to 2019
Description:

Datasets related to the Comrades Marathon used in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics". The main dataset contains the times of every runner that finished in the time limit for each year the race was run.

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Total results: 69112