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

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-curesurv 0.1.2
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-statmod@1.5.1 r-randtoolbox@2.0.5 r-optimx@2025-4.9 r-numderiv@2016.8-1.1 r-formula@1.2-5 r-deriv@4.2.0 r-bbmle@1.0.25.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=curesurv
Licenses: GPL 3+
Build system: r
Synopsis: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Description:

Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.

r-cuda-ml 0.3.2
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-parsnip@1.3.3 r-hardhat@1.4.2 r-ellipsis@0.3.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mlverse.github.io/cuda.ml/
Licenses: Expat
Build system: r
Synopsis: R Interface for the RAPIDS cuML Suite of Libraries
Description:

R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).

r-csutil 2023.4.25
Propagated dependencies: r-magrittr@2.0.4 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.csids.no/csutil/
Licenses: Expat
Build system: r
Synopsis: Common Base-R Problems Relating to Lists
Description:

Utility functions that help with common base-R problems relating to lists. Lists in base-R are very flexible. This package provides functions to quickly and easily characterize types of lists. That is, to identify if all elements in a list are null, data.frames, lists, or fully named lists. Other functionality is provided for the handling of lists, such as the easy splitting of lists into equally sized groups, and the unnesting of data.frames within fully named lists.

r-chromote 0.5.1
Propagated dependencies: r-zip@2.3.3 r-withr@3.0.2 r-websocket@1.4.4 r-rlang@1.1.6 r-r6@2.6.1 r-promises@1.5.0 r-processx@3.8.6 r-magrittr@2.0.4 r-later@1.4.4 r-jsonlite@2.0.0 r-fastmap@1.2.0 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://rstudio.github.io/chromote/
Licenses: Expat
Build system: r
Synopsis: Headless Chrome Web Browser Interface
Description:

An implementation of the Chrome DevTools Protocol', for controlling a headless Chrome web browser.

r-camelup 2.0.3
Propagated dependencies: r-shiny@1.11.1 r-rcpp@1.1.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CamelUp
Licenses: GPL 3
Build system: r
Synopsis: 'CamelUp' Board Game as a Teaching Aid for Introductory Statistics
Description:

This package implements the board game CamelUp for use in introductory statistics classes using a Shiny app.

r-cnltreg 0.1-2
Propagated dependencies: r-nlt@2.2-2 r-misctools@0.6-28 r-adlift@1.4-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CNLTreg
Licenses: GPL 2
Build system: r
Synopsis: Complex-Valued Wavelet Lifting for Signal Denoising
Description:

Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.

r-ctgt 2.0.1
Propagated dependencies: r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ctgt
Licenses: GPL 2+
Build system: r
Synopsis: Closed Testing with Globaltest for Pathway Analysis
Description:

This package provides a shortcut procedure is proposed to implement closed testing for large-scale multiple testings, especially with the global test. This shortcut is asymptotically equivalent to closed testing and post hoc. Users could detect any possible sets of features or pathways with family-wise error rate controlled. The global test is powerful to detect associations between a group of features and an outcome of interest.

r-catirt 0.5.1
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/swnydick/catIrt
Licenses: GPL 2+
Build system: r
Synopsis: Simulate IRT-Based Computerized Adaptive Tests
Description:

This package provides functions designed to simulate data that conform to basic unidimensional IRT models (for now 3-parameter binary response models and graded response models) along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria. See Wainer (2000) <doi:10.4324/9781410605931>, van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>, and Eggen (1999) <doi:10.1177/01466219922031365> for more details.

r-crtsize 1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CRTSize
Licenses: GPL 2+
Build system: r
Synopsis: Sample Size Estimation Functions for Cluster Randomized Trials
Description:

Sample size estimation in cluster (group) randomized trials. Contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).

r-cubeview 0.4.1
Propagated dependencies: r-viridislite@0.4.2 r-svglite@2.2.2 r-stars@0.6-8 r-lattice@0.22-7 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 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=cubeview
Licenses: Expat
Build system: r
Synopsis: View 3D Raster Cubes Interactively
Description:

This package creates a 3D data cube view of a RasterStack/Brick, typically a collection/array of RasterLayers (along z-axis) with the same geographical extent (x and y dimensions) and resolution, provided by package raster'. Slices through each dimension (x/y/z), freely adjustable in location, are mapped to the visible sides of the cube. The cube can be freely rotated. Zooming and panning can be used to focus on different areas of the cube.

r-cpmbigdata 0.0.2
Propagated dependencies: r-rms@8.1-0 r-iterators@1.0.14 r-hmisc@5.2-4 r-foreach@1.5.2 r-doparallel@1.0.17 r-benchmarkme@1.0.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cpmBigData
Licenses: GPL 2+
Build system: r
Synopsis: Fitting Semiparametric Cumulative Probability Models for Big Data
Description:

This package provides a big data version for fitting cumulative probability models using the orm() function from the rms package. See Liu et al. (2017) <DOI:10.1002/sim.7433> for details.

r-catsim 0.2.4
Propagated dependencies: r-testthat@3.3.0 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gzt.github.io/catsim/
Licenses: GPL 3
Build system: r
Synopsis: Binary and Categorical Image Similarity Index
Description:

Computes a structural similarity metric (after the style of MS-SSIM for images) for binary and categorical 2D and 3D images. Can be based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted Rand index, Jaccard index, Dice index, normalized mutual information, or adjusted mutual information. In addition, has fast computation of Cohen's kappa, the Rand indices, and the two mutual informations. Implements the methods of Thompson and Maitra (2020) <doi:10.48550/arXiv.2004.09073>.

r-codina 1.1.2
Propagated dependencies: r-visnetwork@2.1.4 r-reshape2@1.4.5 r-plyr@1.8.9 r-magrittr@2.0.4 r-igraph@2.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoDiNA
Licenses: GPL 2
Build system: r
Synopsis: Co-Expression Differential Network Analysis
Description:

Categorize links and nodes from multiple networks in 3 categories: Common links (alpha) specific links (gamma), and different links (beta). Also categorizes the links into sub-categories and groups. The package includes a visualization tool for the networks. More information about the methodology can be found at: Gysi et. al., 2018 <arXiv:1802.00828>.

r-checkluhn 1.1.0
Propagated dependencies: r-stringr@1.6.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/adamjdeacon/checkLuhn
Licenses: GPL 2
Build system: r
Synopsis: Checks if a Number is Valid Using the Luhn Algorithm
Description:

Confirms if the number is Luhn compliant. Can check if credit card, IMEI number or any other Luhn based number is correct. For more info see: <https://en.wikipedia.org/wiki/Luhn_algorithm>.

r-coxaipw 0.0.3
Propagated dependencies: r-tidyr@1.3.1 r-survival@3.8-3 r-ranger@0.17.0 r-randomforestsrc@2.9.3 r-pracma@2.4.6 r-polspline@1.1.25 r-gbm@2.2.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/charlesluo1002/CoxAIPW
Licenses: GPL 3
Build system: r
Synopsis: Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring
Description:

Doubly robust estimation and inference of log hazard ratio under the Cox marginal structural model with informative censoring. An augmented inverse probability weighted estimator that involves 3 working models, one for conditional failure time T, one for conditional censoring time C and one for propensity score. Both models for T and C can depend on both a binary treatment A and additional baseline covariates Z, while the propensity score model only depends on Z. With the help of cross-fitting techniques, achieves the rate-doubly robust property that allows the use of most machine learning or non-parametric methods for all 3 working models, which are not permitted in classic inverse probability weighting or doubly robust estimators. When the proportional hazard assumption is violated, CoxAIPW estimates a causal estimated that is a weighted average of the time-varying log hazard ratio. Reference: Luo, J. (2023). Statistical Robustness - Distributed Linear Regression, Informative Censoring, Causal Inference, and Non-Proportional Hazards [Unpublished doctoral dissertation]. University of California San Diego.; Luo & Xu (2022) <doi:10.48550/arXiv.2206.02296>; Rava (2021) <https://escholarship.org/uc/item/8h1846gs>.

r-causalpaf 1.2.5
Propagated dependencies: r-rlist@0.4.6.2 r-reshape2@1.4.5 r-mass@7.3-65 r-magrittr@2.0.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggdag@0.2.13 r-forestplot@3.1.7 r-dplyr@1.1.4 r-dagitty@0.3-4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/MauriceOConnell/causalPAF
Licenses: GPL 2+
Build system: r
Synopsis: Causal Effect for Population Attributable Fractions (PAF)
Description:

Calculates population attributable fraction causal effects. The causalPAF package contains a suite of functions for causal analysis calculations of population attributable fractions (PAF) given a causal diagram which apply both: Pathway-specific population attributable fractions (PS-PAFs) Oâ Connell and Ferguson (2022) <doi:10.1093/ije/dyac079> and Sequential population attributable fractions Ferguson, Oâ Connell, and Oâ Donnell (2020) <doi:10.1186/s13690-020-00442-x>. Results are presentable in both table and plot format.

r-cpp11armadillo 0.5.4
Propagated dependencies: r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pacha.dev/cpp11armadillo/
Licenses: FSDG-compatible
Build system: r
Synopsis: An 'Armadillo' Interface
Description:

This package provides function declarations and inline function definitions that facilitate communication between R and the Armadillo C++ library for linear algebra and scientific computing. This implementation is detailed in Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.

r-constants 2022.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/r-quantities/constants
Licenses: Expat
Build system: r
Synopsis: Reference on Constants, Units and Uncertainty
Description:

CODATA internationally recommended values of the fundamental physical constants, provided as symbols for direct use within the R language. Optionally, the values with uncertainties and/or units are also provided if the errors', units and/or quantities packages are installed. The Committee on Data for Science and Technology (CODATA) is an interdisciplinary committee of the International Council for Science which periodically provides the internationally accepted set of values of the fundamental physical constants. This package contains the "2022 CODATA" version, published on May 2024: Eite Tiesinga, Peter J. Mohr, David B. Newell, and Barry N. Taylor (2024) <https://physics.nist.gov/cuu/Constants/>.

r-circlus 0.0.2
Propagated dependencies: r-torch@0.16.3 r-tinflex@2.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-flexmix@2.3-20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/lsablica/circlus
Licenses: GPL 3
Build system: r
Synopsis: Clustering and Simulation of Spherical Cauchy and PKBD Models
Description:

This package provides tools for estimation and clustering of spherical data, seamlessly integrated with the flexmix package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.

r-cotram 0.6-0
Propagated dependencies: r-variables@1.1-2 r-tram@1.4-0 r-survival@3.8-3 r-qrng@0.0-11 r-mlt@1.7-4 r-basefun@1.2-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://ctm.R-forge.R-project.org
Licenses: GPL 2
Build system: r
Synopsis: Count Transformation Models
Description:

Count transformation models featuring parameters interpretable as discrete hazard ratios, odds ratios, reverse-time discrete hazard ratios, or transformed expectations. An appropriate data transformation for a count outcome and regression coefficients are simultaneously estimated by maximising the exact discrete log-likelihood using the computational framework provided in package mlt', technical details are given in Siegfried & Hothorn (2020) <DOI:10.1111/2041-210X.13383>. The package also contains an experimental implementation of multivariate count transformation models with an application to multi-species distribution models <DOI:10.48550/arXiv.2201.13095>.

r-calendrio 0.2.1
Propagated dependencies: r-suncalc@0.5.1 r-ggplot2@4.0.1 r-ggimage@0.3.5 r-gggibbous@0.1.1 r-forcats@1.0.1 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=calendRio
Licenses: AGPL 3+
Build system: r
Synopsis: 'calendR' Fork with Additional Features (Backwards Compatible)
Description:

Fork of calendR R package to generate ready to print calendars with ggplot2 (see <https://r-coder.com/calendar-plot-r/>) with additional features (backwards compatible). calendRio provides a calendR() function that serves as a drop-in replacement for the upstream version but allows for additional parameters unlocking extra functionality.

r-cbassed50 0.2.0
Propagated dependencies: r-rlog@0.1.0 r-readxl@1.4.5 r-glue@1.8.0 r-ggplot2@4.0.1 r-drc@3.0-1 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=CBASSED50
Licenses: Expat
Build system: r
Synopsis: Process CBASS-Derived PAM Data
Description:

This package provides tools to process CBASS-derived PAM data efficiently. Minimal requirements are PAM-based photosynthetic efficiency data (or data from any other continuous variable that changes with temperature, e.g. relative bleaching scores) from 4 coral samples (nubbins) subjected to 4 temperature profiles of at least 2 colonies from 1 coral species from 1 site. Please refer to the following CBASS (Coral Bleaching Automated Stress System) papers for in-depth information regarding CBASS acute thermal stress assays, experimental design considerations, and ED5/ED50/ED95 thermal parameters: Nicolas R. Evensen et al. (2023) <doi:10.1002/lom3.10555> Christian R. Voolstra et al. (2020) <doi:10.1111/gcb.15148> Christian R. Voolstra et al. (2025) <doi:10.1146/annurev-marine-032223-024511>.

r-cpt 1.0.2
Propagated dependencies: r-randomforest@4.7-1.2 r-nnet@7.3-20 r-mass@7.3-65 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://dept.stat.lsa.umich.edu/~johanngb
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Classification Permutation Test
Description:

Non-parametric test for equality of multivariate distributions. Trains a classifier to classify (multivariate) observations as coming from one of several distributions. If the classifier is able to classify the observations better than would be expected by chance (using permutation inference), then the null hypothesis that the distributions are equal is rejected.

r-crookr 0.1.0
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/raudep/crookR
Licenses: Expat
Build system: r
Synopsis: Synthetic Crook Deformations in Stem Point Clouds
Description:

Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.

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