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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-c060 0.4-0
Propagated dependencies: r-tgp@2.4-23 r-survival@3.8-3 r-peperr@1.6 r-penalizedsvm@1.2.0 r-penalized@0.9-53 r-pamr@1.57 r-mlegp@3.1.10 r-lattice@0.22-7 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/fbertran/c060/
Licenses: GPL 2
Build system: r
Synopsis: Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models
Description:

The c060 package provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models.

r-comp2roc 1.1.4
Propagated dependencies: r-rocr@1.0-11 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Comp2ROC
Licenses: GPL 2
Build system: r
Synopsis: Compare Two ROC Curves that Intersect
Description:

Comparison of two ROC curves through the methodology proposed by Ana C. Braga.

r-clinicalsignificance 3.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-snakecase@0.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-lme4@1.1-37 r-insight@1.4.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5 r-bayestestr@0.17.0 r-bayesfactor@0.9.12-4.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://benediktclaus.github.io/clinicalsignificance/
Licenses: GPL 3+
Build system: r
Synopsis: Toolbox for Clinical Significance Analyses in Intervention Studies
Description:

This package provides a clinical significance analysis can be used to determine if an intervention has a meaningful or practical effect for patients. You provide a tidy data set plus a few more metrics and this package will take care of it to make your results publication ready. Accompanying package to Claus et al. <doi:10.18637/jss.v111.i01>.

r-cmatching 2.4
Propagated dependencies: r-multiwayvcov@1.2.3 r-matching@4.10-15 r-lmtest@0.9-40 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CMatching
Licenses: GPL 2
Build system: r
Synopsis: Matching Algorithms for Causal Inference with Clustered Data
Description:

This package provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.

r-codyn 2.0.5
Propagated dependencies: r-vegan@2.7-2 r-permute@0.9-8 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/NCEAS/codyn/
Licenses: ASL 2.0
Build system: r
Synopsis: Community Dynamics Metrics
Description:

Univariate and multivariate temporal and spatial diversity indices, rank abundance curves, and community stability measures. The functions implement measures that are either explicitly temporal and include the option to calculate them over multiple replicates, or spatial and include the option to calculate them over multiple time points. Functions fall into five categories: static diversity indices, temporal diversity indices, spatial diversity indices, rank abundance curves, and community stability measures. The diversity indices are temporal and spatial analogs to traditional diversity indices. Specifically, the package includes functions to calculate community richness, evenness and diversity at a given point in space and time. In addition, it contains functions to calculate species turnover, mean rank shifts, and lags in community similarity between two time points. Details of the methods are available in Hallett et al. (2016) <doi:10.1111/2041-210X.12569> and Avolio et al. (2019) <doi:10.1002/ecs2.2881>.

r-csquares 0.1.0
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-stars@0.6-8 r-sf@1.0-23 r-rlang@1.1.6 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pepijn-devries.github.io/csquares/
Licenses: GPL 3+
Build system: r
Synopsis: Concise Spatial Query and Representation System (c-Squares)
Description:

Encode and decode c-squares, from and to simple feature (sf) or spatiotemporal arrays (stars) objects. Use c-squares codes to quickly join or query spatial data.

r-condis 0.1.2
Propagated dependencies: r-tidyverse@2.0.0 r-survminer@0.5.1 r-survival@3.8-3 r-purrr@1.2.0 r-kernlab@0.9-33 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CondiS
Licenses: GPL 2
Build system: r
Synopsis: Censored Data Imputation for Direct Modeling
Description:

Impute the survival times for censored observations based on their conditional survival distributions derived from the Kaplan-Meier estimator. CondiS can replace the censored observations with the best approximations from the statistical model, allowing for direct application of machine learning-based methods. When covariates are available, CondiS is extended by incorporating the covariate information through machine learning-based regression modeling ('CondiS_X'), which can further improve the imputed survival time.

r-convertr 0.1
Propagated dependencies: r-shiny@1.11.1 r-rstudioapi@0.17.1 r-miniui@0.1.2 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=convertr
Licenses: Expat
Build system: r
Synopsis: Convert Between Units
Description:

This package provides conversion functionality between a broad range of scientific, historical, and industrial unit types.

r-condgee 0.2.0
Propagated dependencies: r-rootsolve@1.8.2.4 r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=condGEE
Licenses: GPL 2+
Build system: r
Synopsis: Parameter Estimation in Conditional GEE for Recurrent Event Gap Times
Description:

Solves for the mean parameters, the variance parameter, and their asymptotic variance in a conditional GEE for recurrent event gap times, as described by Clement and Strawderman (2009) in the journal Biostatistics. Makes a parametric assumption for the length of the censored gap time.

r-crsmeta 0.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/hypertidy/crsmeta
Licenses: GPL 3
Build system: r
Synopsis: Extract Coordinate System Metadata
Description:

Obtain coordinate system metadata from various data formats. There are functions to extract a CRS (coordinate reference system, <https://en.wikipedia.org/wiki/Spatial_reference_system>) in EPSG (European Petroleum Survey Group, <http://www.epsg.org/>), PROJ4 <https://proj.org/>, or WKT2 (Well-Known Text 2, <http://docs.opengeospatial.org/is/12-063r5/12-063r5.html>) forms. This is purely for getting simple metadata from in-memory formats, please use other tools for out of memory data sources.

r-cdse 0.3.0
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-lutz@0.3.2 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr2@1.2.1 r-geojsonsf@2.0.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://zivankaraman.github.io/CDSE/
Licenses: AGPL 3
Build system: r
Synopsis: 'Copernicus Data Space Ecosystem' API Wrapper
Description:

This package provides interface to the Copernicus Data Space Ecosystem API <https://dataspace.copernicus.eu/analyse/apis>, mainly for searching the catalog of available data from Copernicus Sentinel missions and obtaining the images for just the area of interest based on selected spectral bands. The package uses the Sentinel Hub REST API interface <https://dataspace.copernicus.eu/analyse/apis/sentinel-hub> that provides access to various satellite imagery archives. It allows you to access raw satellite data, rendered images, statistical analysis, and other features. This package is in no way officially related to or endorsed by Copernicus.

r-clustergvis 0.1.4
Propagated dependencies: r-tibble@3.3.0 r-singlecellexperiment@1.32.0 r-scales@1.4.0 r-reshape2@1.4.5 r-purrr@1.2.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-factoextra@1.0.7 r-e1071@1.7-16 r-dplyr@1.1.4 r-colorramps@2.3.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/junjunlab/ClusterGVis/
Licenses: Expat
Build system: r
Synopsis: One-Step to Cluster and Visualize Gene Expression Data
Description:

Streamlining the clustering and visualization of time-series gene expression data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means clustering algorithms. It is compatible with outputs from widely-used packages such as Seurat', Monocle', and WGCNA', enabling seamless downstream visualization and analysis. See Lokesh Kumar and Matthias E Futschik (2007) <doi:10.6026/97320630002005> for more details.

r-col2hex2col 0.5.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/AnttiRask/col2hex2col
Licenses: Expat
Build system: r
Synopsis: Convert Between Color Names and Hex Codes
Description:

This package provides simple functions to convert between color names and hexadecimal color codes using an extensive database of over 32,000 colors. Includes all 657 R built-in colors plus the comprehensive color-names database. The package supports bidirectional conversion with backward compatibility, prioritizing R colors when available.

r-crossmap 0.5.0
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-purrr@1.2.0 r-parallelly@1.45.1 r-lifecycle@1.0.4 r-generics@0.1.4 r-dplyr@1.1.4 r-cli@3.6.5 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pkg.rossellhayes.com/crossmap/
Licenses: Expat
Build system: r
Synopsis: Apply Functions to All Combinations of List Elements
Description:

This package provides an extension to the purrr family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.

r-climenu 0.1.5
Propagated dependencies: r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/PetrCala/climenu
Licenses: Expat
Build system: r
Synopsis: Interactive Command-Line Menus
Description:

This package provides interactive command-line menu functionality with single and multiple selection menus, keyboard navigation (arrow keys or vi-style j/k), preselection, and graceful fallback for non-interactive environments. Inspired by tools such as inquirer.js <https://github.com/SBoudrias/Inquirer.js>, pick <https://github.com/aisk/pick>, and survey <https://github.com/AlecAivazis/survey>. Designed to be lightweight and easy to integrate into R packages and scripts.

r-cartographer 0.2.1
Propagated dependencies: r-sf@1.0-23 r-rlang@1.1.6 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://github.com/cidm-ph/cartographer
Licenses: Expat
Build system: r
Synopsis: Turn Place Names into Map Data
Description:

This package provides a tool for easily matching spatial data when you have a list of place/region names. You might have a data frame that came from a spreadsheet tracking some data by suburb or state. This package can convert it into a spatial data frame ready for plotting. The actual map data is provided by other packages (or your own code).

r-chantrics 1.0.0
Propagated dependencies: r-sandwich@3.1-1 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-lmtest@0.9-40 r-chandwich@1.1.6 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://chantrics.theobruckbauer.eu
Licenses: FSDG-compatible
Build system: r
Synopsis: Loglikelihood Adjustments for Econometric Models
Description:

Adjusts the loglikelihood of common econometric models for clustered data based on the estimation process suggested in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>, using the chandwich package <https://cran.r-project.org/package=chandwich>, and provides convenience functions for inference on the adjusted models.

r-chnosz 2.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://chnosz.net/
Licenses: GPL 3
Build system: r
Synopsis: Thermodynamic Calculations and Diagrams for Geochemistry
Description:

An integrated set of tools for thermodynamic calculations in aqueous geochemistry and geobiochemistry. Functions are provided for writing balanced reactions to form species from user-selected basis species and for calculating the standard molal properties of species and reactions, including the standard Gibbs energy and equilibrium constant. Calculations of the non-equilibrium chemical affinity and equilibrium chemical activity of species can be portrayed on diagrams as a function of temperature, pressure, or activity of basis species; in two dimensions, this gives a maximum affinity or predominance diagram. The diagrams have formatted chemical formulas and axis labels, and water stability limits can be added to Eh-pH, oxygen fugacity- temperature, and other diagrams with a redox variable. The package has been developed to handle common calculations in aqueous geochemistry, such as solubility due to complexation of metal ions, mineral buffers of redox or pH, and changing the basis species across a diagram ("mosaic diagrams"). CHNOSZ also implements a group additivity algorithm for the standard thermodynamic properties of proteins.

r-contrast 0.24.2
Propagated dependencies: r-sandwich@3.1-1 r-rms@8.1-0 r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Alanocallaghan/contrast
Licenses: GPL 2
Build system: r
Synopsis: Collection of Contrast Methods
Description:

One degree of freedom contrasts for lm', glm', gls', and geese objects.

r-cymruservices 0.5.0
Propagated dependencies: r-stringi@1.8.7 r-pingr@2.0.5 r-memoise@2.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cymruservices
Licenses: Expat
Build system: r
Synopsis: Query 'Team Cymru' 'IP' Address, Autonomous System Number ('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware' Hash Data Services
Description:

This package provides a toolkit for querying Team Cymru <http://team-cymru.org> IP address, Autonomous System Number ('ASN'), Border Gateway Protocol ('BGP'), Bogon and Malware Hash Data Services.

r-crandep 0.3.13
Propagated dependencies: r-stringr@1.6.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-igraph@2.2.1 r-gsl@2.1-9 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/clement-lee/crandep
Licenses: GPL 2+
Build system: r
Synopsis: Network Analysis of Dependencies of CRAN Packages
Description:

The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution <doi:10.1111/stan.12355>, of which functions are provided.

r-chouca 0.1.99
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plyr@1.8.9 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/alexgenin/chouca
Licenses: GPL 3+
Build system: r
Synopsis: Stochastic Cellular Automaton Engine
Description:

An engine for stochastic cellular automata. It provides a high-level interface to declare a model, which can then be simulated by various backends (Genin et al. (2023) <doi:10.1101/2023.11.08.566206>).

r-citan 2025.7.1
Propagated dependencies: r-stringi@1.8.7 r-rsqlite@2.4.4 r-dbi@1.2.3 r-agop@0.2.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/gagolews/CITAN
Licenses: LGPL 3+
Build system: r
Synopsis: CITation ANalysis Toolpack
Description:

Supports quantitative research in scientometrics and bibliometrics. Provides various tools for preprocessing bibliographic data retrieved, e.g., from Elsevier's Scopus, computing bibliometric impact of individuals, or modelling phenomena encountered in the social sciences. This package is deprecated; see agop instead.

r-caradpt 0.1.0
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=caradpt
Licenses: GPL 3
Build system: r
Synopsis: Covariate-Adjusted Response-Adaptive Designs for Clinical Trials
Description:

This package provides tools for implementing covariate-adjusted response-adaptive procedures for binary, continuous and survival responses. Users can flexibly choose between two functions based on their specific needs for each procedure: use real patient data from clinical trials to compute allocation probabilities directly, or use built-in simulation functions to generate synthetic patient data. Detailed methodologies and algorithms used in this package are described in the following references: Zhang, L. X., Hu, F., Cheung, S. H., & Chan, W. S. (2007)<doi:10.1214/009053606000001424> Zhang, L. X. & Hu, F. (2009) <doi:10.1007/s11766-009-0001-6> Hu, J., Zhu, H., & Hu, F. (2015) <doi:10.1080/01621459.2014.903846> Zhao, W., Ma, W., Wang, F., & Hu, F. (2022) <doi:10.1002/pst.2160> Mukherjee, A., Jana, S., & Coad, S. (2024) <doi:10.1177/09622802241287704>.

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