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

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-carts 0.1.0
Propagated dependencies: r-targeted@0.7.1 r-survival@3.8-3 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r6@2.6.1 r-progressr@0.18.0 r-logger@0.4.1 r-lava@1.8.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://novonordisk-opensource.github.io/carts/
Licenses: FSDG-compatible
Build system: r
Synopsis: Simulation-Based Assessment of Covariate Adjustment in Randomized Trials
Description:

Monte Carlo simulation framework for different randomized clinical trial designs with a special emphasis on estimators based on covariate adjustment. The package implements regression-based covariate adjustment (Rosenblum & van der Laan (2010) <doi:10.2202/1557-4679.1138>) and a one-step estimator (Van Lancker et al (2024) <doi:10.48550/arXiv.2404.11150>) for trials with continuous, binary and count outcomes. The estimation of the minimum sample-size required to reach a specified statistical power for a given estimator uses bisection to find an initial rough estimate, followed by stochastic approximation (Robbins-Monro (1951) <doi:10.1214/aoms/1177729586>) to improve the estimate, and finally, a grid search to refine the estimate in the neighborhood of the current best solution.

r-cofm 1.1.4
Propagated dependencies: r-psych@2.5.6 r-matrixcalc@1.0-6 r-mass@7.3-65 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoFM
Licenses: Expat
Build system: r
Synopsis: Copula Factor Models
Description:

This package provides tools for factor analysis in high-dimensional settings under copula-based factor models. It includes functions to simulate factor-model data with copula-distributed idiosyncratic errors (e.g., Clayton, Gumbel, Frank, Student t and Gaussian copulas) and to perform diagnostic tests such as the Kaiser-Meyer-Olkin measure and Bartlett's test of sphericity. Estimation routines include principal component based factor analysis, projected principal component analysis, and principal orthogonal complement thresholding for large covariance matrix estimation. The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

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-complex 1.0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-nloptr@2.2.1 r-mvtnorm@1.3-3 r-legion@0.2.1 r-greybox@2.0.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/config-i1/complex
Licenses: LGPL 2.1
Build system: r
Synopsis: Time Series Analysis and Forecasting Using Complex Variables
Description:

This package implements the instruments for complex-valued modelling, including time series analysis and forecasting. This is based on the monograph by Svetunkov & Svetunkov (2024) <doi: 10.1007/978-3-031-62608-1>.

r-cspstandsegmentation 0.2.0
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-rgl@1.3.31 r-rcsf@1.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-magrittr@2.0.4 r-lidr@4.2.3 r-igraph@2.2.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-dbscan@1.2.3 r-data-table@1.17.8 r-conicfit@1.0.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/JulFrey/CspStandSegmentation
Licenses: GPL 3
Build system: r
Synopsis: Comparative Shortest Path Forest Stand Segmentation from LiDAR Data
Description:

Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the lidR package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.

r-connections 0.2.1
Propagated dependencies: r-uuid@1.2-1 r-rscontract@0.1.2 r-pins@1.4.1 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/rstudio/connections
Licenses: Expat
Build system: r
Synopsis: Integrates with the 'RStudio' Connections Pane and 'pins'
Description:

Enables DBI compliant packages to integrate with the RStudio connections pane, and the pins package. It automates the display of schemata, tables, views, as well as the preview of the table's top 1000 records.

r-cyjshiny 1.0.42
Propagated dependencies: r-shiny@1.11.1 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-graph@1.88.0 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cyjShiny
Licenses: Expat
Build system: r
Synopsis: Cytoscape.js Shiny Widget (cyjShiny)
Description:

Wraps cytoscape.js as a shiny widget. cytoscape.js <https://js.cytoscape.org/> is a Javascript-based graph theory (network) library for visualization and analysis. This package supports the visualization of networks with custom visual styles and several available layouts. Demo Shiny applications are provided in the package code.

r-covtracer 0.0.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/genentech/covtracer
Licenses: Expat
Build system: r
Synopsis: Contextualizing Tests
Description:

Dissects a package environment or covr coverage object in order to cross reference tested code with the lines that are evaluated, as well as linking those evaluated lines to the documentation that they are described within. Connecting these three pieces of information provides a mechanism of linking tests to documented behaviors.

r-chattr 0.3.1
Propagated dependencies: r-yaml@2.3.10 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-purrr@1.2.0 r-processx@3.8.6 r-lifecycle@1.0.4 r-httr2@1.2.1 r-glue@1.8.0 r-fs@1.6.6 r-ellmer@0.4.0 r-coro@1.1.0 r-config@0.3.2 r-clipr@0.8.0 r-cli@3.6.5 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mlverse/chattr
Licenses: Expat
Build system: r
Synopsis: Interact with Large Language Models in 'RStudio'
Description:

Enables user interactivity with large-language models ('LLM') inside the RStudio integrated development environment (IDE). The user can interact with the model using the shiny app included in this package, or directly in the R console. It comes with back-ends for OpenAI', GitHub Copilot', and LlamaGPT'.

r-clustertend 1.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clustertend
Licenses: Expat
Build system: r
Synopsis: Check the Clustering Tendency
Description:

Calculate some statistics aiming to help analyzing the clustering tendency of given data. In the first version, Hopkins statistic is implemented. See Hopkins and Skellam (1954) <doi:10.1093/oxfordjournals.aob.a083391>.

r-cliftlrd 0.1-2
Propagated dependencies: r-liftlrd@1.0-9 r-cnltreg@0.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CliftLRD
Licenses: GPL 2
Build system: r
Synopsis: Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series
Description:

Implementation of Hurst exponent estimators based on complex-valued lifting wavelet energy from Knight, M. I and Nunes, M. A. (2018) <doi:10.1007/s11222-018-9820-8>.

r-customderivative 0.1.1
Propagated dependencies: r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CustomDerivative
Licenses: Expat
Build system: r
Synopsis: Pricing Various Types of Custom Derivatives
Description:

This package provides a versatile R package for creating and pricing custom derivatives to suit your financial needs.

r-commonsmath 1.2.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dbdahl/commonsMath
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: JAR Files of the Apache Commons Mathematics Library
Description:

Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.

r-coni 0.1.0
Dependencies: python@3.11.14
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-ppcor@1.1 r-plyr@1.8.9 r-igraph@2.2.1 r-hmisc@5.2-4 r-gridextra@2.3 r-gplots@3.2.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-genefilter@1.92.0 r-foreach@1.5.2 r-forcats@1.0.1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-cocor@1.1-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoNI
Licenses: GPL 3
Build system: r
Synopsis: Correlation Guided Network Integration (CoNI)
Description:

Integrates two numerical omics data sets from the same samples using partial correlations. The output can be represented as a network, bipartite graph or a hypergraph structure. The method used in the package refers to Klaus et al (2021) <doi:10.1016/j.molmet.2021.101295>.

r-claddis 0.7.0
Propagated dependencies: r-strap@1.6-1 r-phytools@2.5-2 r-partitions@1.10-9 r-multicool@1.0.1 r-geoscale@2.0.1 r-clipr@0.8.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Claddis
Licenses: GPL 2+
Build system: r
Synopsis: Measuring Morphological Diversity and Evolutionary Tempo
Description:

Measures morphological diversity from discrete character data and estimates evolutionary tempo on phylogenetic trees. Imports morphological data from #NEXUS (Maddison et al. (1997) <doi:10.1093/sysbio/46.4.590>) format with read_nexus_matrix(), and writes to both #NEXUS and TNT format (Goloboff et al. (2008) <doi:10.1111/j.1096-0031.2008.00217.x>). Main functions are test_rates(), which implements AIC and likelihood ratio tests for discrete character rates introduced across Lloyd et al. (2012) <doi:10.1111/j.1558-5646.2011.01460.x>, Brusatte et al. (2014) <doi:10.1016/j.cub.2014.08.034>, Close et al. (2015) <doi:10.1016/j.cub.2015.06.047>, and Lloyd (2016) <doi:10.1111/bij.12746>, and calculate_morphological_distances(), which implements multiple discrete character distance metrics from Gower (1971) <doi:10.2307/2528823>, Wills (1998) <doi:10.1006/bijl.1998.0255>, Lloyd (2016) <doi:10.1111/bij.12746>, and Hopkins and St John (2018) <doi:10.1098/rspb.2018.1784>. This also includes the GED correction from Lehmann et al. (2019) <doi:10.1111/pala.12430>. Multiple functions implement morphospace plots: plot_chronophylomorphospace() implements Sakamoto and Ruta (2012) <doi:10.1371/journal.pone.0039752>, plot_morphospace() implements Wills et al. (1994) <doi:10.1017/S009483730001263X>, plot_changes_on_tree() implements Wang and Lloyd (2016) <doi:10.1098/rspb.2016.0214>, and plot_morphospace_stack() implements Foote (1993) <doi:10.1017/S0094837300015864>. Other functions include safe_taxonomic_reduction(), which implements Wilkinson (1995) <doi:10.1093/sysbio/44.4.501>, map_dollo_changes() implements the Dollo stochastic character mapping of Tarver et al. (2018) <doi:10.1093/gbe/evy096>, and estimate_ancestral_states() implements the ancestral state options of Lloyd (2018) <doi:10.1111/pala.12380>. calculate_tree_length() and reconstruct_ancestral_states() implements the generalised algorithms from Swofford and Maddison (1992; no doi).

r-crosswalkr 0.4.0
Propagated dependencies: r-tibble@3.3.0 r-readxl@1.4.5 r-readr@2.1.6 r-labelled@2.16.0 r-haven@2.5.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/btskinner/crosswalkr
Licenses: Expat
Build system: r
Synopsis: Rename and Encode Data Frames Using External Crosswalk Files
Description:

This package provides a pair of functions for renaming and encoding data frames using external crosswalk files. It is especially useful when constructing master data sets from multiple smaller data sets that do not name or encode variables consistently across files. Based on similar commands in Stata'.

r-colorfindr 0.1.6
Propagated dependencies: r-treemap@2.4-4 r-tiff@0.1-12 r-tibble@3.3.0 r-stringr@1.6.0 r-rsvg@2.7.0 r-purrr@1.2.0 r-png@0.1-8 r-plotwidgets@0.5.1 r-plotly@4.11.0 r-pixmap@0.4-14 r-magrittr@2.0.4 r-jpeg@0.1-11 r-dplyr@1.1.4 r-bmp@0.3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colorfindr
Licenses: Expat
Build system: r
Synopsis: Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images
Description:

Extracts colors from various image types, returns customized reports and plots treemaps and 3D scatterplots of image compositions. Color palettes can also be created.

r-checkdigit 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://fascinatingfingers.gitlab.io/checkdigit
Licenses: GPL 3+
Build system: r
Synopsis: Calculate and Verify Check Digits
Description:

Check digits are used like file hashes to verify that a number has been transcribed accurately. The functions provided by this package help to calculate and verify check digits according to various algorithms.

r-ctxcc 0.4.0
Propagated dependencies: r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-ggplot2@4.0.1 r-expm@1.0-0 r-compquadform@1.4.4 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CTxCC
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart
Description:

This package provides a comprehensive set of functions designed for multivariate mean monitoring using the Critical-to-X Control Chart. These functions enable the determination of optimal control limits based on a specified in-control Average Run Length (ARL), the calculation of out-of-control ARL for a given control limit, and post-signal analysis to identify the specific variable responsible for a detected shift in the mean. This suite of tools provides robust support for precise and effective process monitoring and analysis.

r-checkhelper 0.1.1
Propagated dependencies: r-withr@3.0.2 r-whisker@0.4.1 r-stringr@1.6.0 r-roxygen2@7.3.3 r-rcmdcheck@1.4.0 r-purrr@1.2.0 r-pkgbuild@1.4.8 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-glue@1.8.0 r-dplyr@1.1.4 r-devtools@2.4.6 r-desc@1.4.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://thinkr-open.github.io/checkhelper/
Licenses: Expat
Build system: r
Synopsis: Deal with Check Outputs
Description:

Deal with packages check outputs and reduce the risk of rejection by CRAN by following policies.

r-counterfactuals 1.0.0
Propagated dependencies: r-statmatch@1.4.3 r-r6@2.6.1 r-paradox@1.0.1 r-miesmuschel@0.0.4-3 r-iml@0.11.4 r-data-table@1.17.8 r-checkmate@2.3.3 r-bbotk@1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dandls/counterfactuals
Licenses: LGPL 3
Build system: r
Synopsis: Counterfactual Explanations
Description:

Modular and unified R6-based interface for counterfactual explanation methods. The following methods are currently implemented: Burghmans et al. (2022) <doi:10.48550/arXiv.2104.07411>, Dandl et al. (2020) <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019) <doi:10.1109/TVCG.2019.2934619>. Optional extensions allow these methods to be applied to a variety of models and use cases. Once generated, the counterfactuals can be analyzed and visualized by provided functionalities. The package is described in detail in Dandl et al. (2025) <doi:10.18637/jss.v115.i09>.

r-corrmixed 1.1
Propagated dependencies: r-psych@2.5.6 r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CorrMixed
Licenses: GPL 2+
Build system: r
Synopsis: Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mixed-Effects Models
Description:

In clinical practice and research settings in medicine and the behavioral sciences, it is often of interest to quantify the correlation of a continuous endpoint that was repeatedly measured (e.g., test-retest correlations, ICC, etc.). This package allows for estimating these correlations based on mixed-effects models. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.

r-contourplot 0.2.0
Propagated dependencies: r-rcolorbrewer@1.1-3 r-interp@1.1-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=contourPlot
Licenses: Expat
Build system: r
Synopsis: Plots x,y,z Co-Ordinates in a Contour Map
Description:

Plots a set of x,y,z co-ordinates in a contour map. Designed to be similar to plots in base R so additional elements can be added using lines(), points() etc. This package is intended to be better suited, than existing packages, to displaying circular shaped plots such as those often seen in the semi-conductor industry.

r-cyclotomic 1.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/stla/cyclotomic
Licenses: GPL 3
Build system: r
Synopsis: The Field of Cyclotomic Numbers
Description:

The cyclotomic numbers are complex numbers that can be thought of as the rational numbers extended with the roots of unity. They are represented exactly, enabling exact computations. They contain the Gaussian rationals (complex numbers with rational real and imaginary parts) as well as the square roots of all rational numbers. They also contain the sine and cosine of all rational multiples of pi. The algorithms implemented in this package are taken from the Haskell package cyclotomic', whose algorithms are adapted from code by Martin Schoenert and Thomas Breuer in the GAP project (<https://www.gap-system.org/>). Cyclotomic numbers have applications in number theory, algebraic geometry, algebraic number theory, coding theory, and in the theory of graphs and combinatorics. They have connections to the theory of modular functions and modular curves.

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