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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
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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-ctf 0.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-iotools@0.3-5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/julianofhernandez/ctf
Licenses: Expat
Build system: r
Synopsis: Read and Write Column Text Format (CTF)
Description:

Column Text Format (CTF) is a new tabular data format designed for simplicity and performance. CTF is the simplest column store you can imagine: plain text files for each column in a table, and a metadata file. The underlying plain text means the data is human readable and familiar to programmers, unlike specialized binary formats. CTF is faster than row oriented formats like CSV when loading a subset of the columns in a table. This package provides functions to read and write CTF data from R.

r-clinsig 1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clinsig
Licenses: GPL 2+
Build system: r
Synopsis: Clinical Significance Functions
Description:

This package provides functions for calculating clinical significance.

r-concordancetest 1.0.3
Propagated dependencies: r-rglpk@0.6-5.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ConcordanceTest
Licenses: GPL 3
Build system: r
Synopsis: An Alternative to the Kruskal-Wallis Based on the Kendall Tau Distance
Description:

The Concordance Test is a non-parametric method for testing whether two o more samples originate from the same distribution. It extends the Kendall Tau correlation coefficient when there are only two groups. For details, see Alcaraz J., Anton-Sanchez L., Monge J.F. (2022) The Concordance Test, an Alternative to Kruskal-Wallis Based on the Kendall-tau Distance: An R Package. The R Journal 14, 26â 53 <doi:10.32614/RJ-2022-039>.

r-counternull 0.2.12
Propagated dependencies: r-tidyr@1.3.1 r-randomizr@1.0.0 r-ggplot2@4.0.1 r-effsize@0.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ymabene/Counternull
Licenses: Expat
Build system: r
Synopsis: Randomization-Based Inference
Description:

Randomization-Based Inference for customized experiments. Computes Fisher-Exact P-Values alongside null randomization distributions. Retrieves counternull sets and generates counternull distributions. Computes Fisher Intervals and Fisher-Adjusted P-Values. Package includes visualization of randomization distributions and Fisher Intervals. Users can input custom test statistics and their own methods for randomization. Rosenthal and Rubin (1994) <doi:10.1111/j.1467-9280.1994.tb00281.x>.

r-carme 0.1.1
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mass@7.3-65 r-expm@1.0-0 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=CARME
Licenses: GPL 3+
Build system: r
Synopsis: CAR-MM Modelling in Stan
Description:

Stan based functions to estimate CAR-MM models. These models allow to estimate Generalised Linear Models with CAR (conditional autoregressive) spatial random effects for spatially and temporally misaligned data, provided a suitable Multiple Membership matrix. The main references are Gramatica, Liverani and Congdon (2023) <doi:10.1214/23-BA1370>, Petrof, Neyens, Nuyts, Nackaerts, Nemery and Faes (2020) <doi:10.1002/sim.8697> and Gramatica, Congdon and Liverani <doi:10.1111/rssc.12480>.

r-coursekata 0.19.0
Propagated dependencies: r-viridislite@0.4.2 r-vctrs@0.6.5 r-supernova@3.0.1 r-rlang@1.1.6 r-remotes@2.5.0 r-purrr@1.2.0 r-palmerpenguins@0.1.1 r-mosaic@1.9.2 r-metrics@0.1.4 r-lsr@0.5.2 r-glue@1.8.0 r-ggplot2@4.0.1 r-ggformula@1.0.0 r-dslabs@0.9.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/coursekata/coursekata-r
Licenses: AGPL 3+
Build system: r
Synopsis: Packages and Functions for 'CourseKata' Courses
Description:

Easily install and load all packages and functions used in CourseKata courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about CourseKata at <https://www.coursekata.org>.

r-cytopt 0.9.8
Dependencies: python@3.11.14
Propagated dependencies: r-testthat@3.3.0 r-reticulate@1.44.1 r-reshape2@1.4.5 r-patchwork@1.3.2 r-metbrewer@0.2.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://sistm.github.io/CytOpT-R/
Licenses: GPL 2+
Build system: r
Synopsis: Optimal Transport for Gating Transfer in Cytometry Data with Domain Adaptation
Description:

Supervised learning from a source distribution (with known segmentation into cell sub-populations) to fit a target distribution with unknown segmentation. It relies regularized optimal transport to directly estimate the different cell population proportions from a biological sample characterized with flow cytometry measurements. It is based on the regularized Wasserstein metric to compare cytometry measurements from different samples, thus accounting for possible mis-alignment of a given cell population across sample (due to technical variability from the technology of measurements). Supervised learning technique based on the Wasserstein metric that is used to estimate an optimal re-weighting of class proportions in a mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2023) <doi:10.1214/22-AOAS1660>.

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-crseeventstudy 1.2.2
Propagated dependencies: r-sandwich@3.1-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/skoestlmeier/crseEventStudy
Licenses: Modified BSD
Build system: r
Synopsis: Robust and Powerful Test of Abnormal Stock Returns in Long-Horizon Event Studies
Description:

Based on Dutta et al. (2018) <doi:10.1016/j.jempfin.2018.02.004>, this package provides their standardized test for abnormal returns in long-horizon event studies. The methods used improve the major weaknesses of size, power, and robustness of long-run statistical tests described in Kothari/Warner (2007) <doi:10.1016/B978-0-444-53265-7.50015-9>. Abnormal returns are weighted by their statistical precision (i.e., standard deviation), resulting in abnormal standardized returns. This procedure efficiently captures the heteroskedasticity problem. Clustering techniques following Cameron et al. (2011) <doi:10.1198/jbes.2010.07136> are adopted for computing cross-sectional correlation robust standard errors. The statistical tests in this package therefore accounts for potential biases arising from returns cross-sectional correlation, autocorrelation, and volatility clustering without power loss.

r-csvwr 0.1.7
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://robsteranium.github.io/csvwr/
Licenses: GPL 3
Build system: r
Synopsis: Read and Write CSV on the Web (CSVW) Tables and Metadata
Description:

Provide functions for reading and writing CSVW - i.e. CSV tables and JSON metadata. The metadata helps interpret CSV by setting the types and variable names.

r-convdistr 1.6.3
Propagated dependencies: r-tidyr@1.3.1 r-shiny@1.11.1 r-shelf@1.12.1 r-rcolorbrewer@1.1-3 r-mass@7.3-65 r-ggplot2@4.0.1 r-extradistr@1.10.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/johnaponte/convdistr
Licenses: GPL 3+
Build system: r
Synopsis: Convolute Probabilistic Distributions
Description:

Convolute probabilistic distributions using the random generator function of each distribution. A new random number generator function is created that perform the mathematical operation on the individual random samples from the random generator function of each distribution. See the documentation for examples.

r-colorplane 0.6.0
Propagated dependencies: r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colorplane
Licenses: Expat
Build system: r
Synopsis: Basic S4 Classes and Methods for Mapping Between Numeric Values and Colors
Description:

This package provides a simple set of classes and methods for mapping between scalar intensity values and colors. There is also support for layering maps on top of one another using alpha composition.

r-correlplot 1.1.2
Propagated dependencies: r-xtable@1.8-4 r-mass@7.3-65 r-lsei@1.3-0 r-ggplot2@4.0.1 r-corrplot@0.95 r-calibrate@1.7.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Collection of Functions for Graphing Correlation Matrices
Description:

Routines for the graphical representation of correlation matrices by means of correlograms, MDS maps and biplots obtained by PCA, PFA or WALS (weighted alternating least squares); See Graffelman & De Leeuw (2023) <doi: 10.1080/00031305.2023.2186952>.

r-catregs 1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=catregs
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Post-Estimation Functions for Generalized Linear Mixed Models
Description:

Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).

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-censcov 1.0-0
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=censCov
Licenses: GPL 3+
Build system: r
Synopsis: Linear Regression with a Randomly Censored Covariate
Description:

Implementations of threshold regression approaches for linear regression models with a covariate subject to random censoring, including deletion threshold regression and completion threshold regression. Reverse survival regression, which flip the role of response variable and the covariate, is also considered.

r-cpop 1.0.8
Propagated dependencies: r-rdpack@2.6.4 r-rcpp@1.1.0 r-pracma@2.4.6 r-pacman@0.5.1 r-mathjaxr@1.8-0 r-ggplot2@4.0.1 r-crops@1.0.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cpop
Licenses: GPL 2+
Build system: r
Synopsis: Detection of Multiple Changes in Slope in Univariate Time-Series
Description:

Detects multiple changes in slope using the CPOP dynamic programming approach of Fearnhead, Maidstone, and Letchford (2019) <doi:10.1080/10618600.2018.1512868>. This method finds the best continuous piecewise linear fit to data under a criterion that measures fit to data using the residual sum of squares, but penalizes complexity based on an L0 penalty on changes in slope. Further information regarding the use of this package with detailed examples can be found in Fearnhead and Grose (2024) <doi:10.18637/jss.v109.i07>.

r-cancensus 0.5.10
Propagated dependencies: r-sf@1.0-23 r-rlang@1.1.6 r-readr@2.1.6 r-jsonlite@2.0.0 r-httr@1.4.7 r-geojsonsf@2.0.5 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mountainMath/cancensus
Licenses: Expat
Build system: r
Synopsis: Access, Retrieve, and Work with Canadian Census Data and Geography
Description:

Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the CensusMapper API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016; 2021).

r-cadence 1.2.5
Propagated dependencies: r-pso@1.0.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CaDENCE
Licenses: GPL 2
Build system: r
Synopsis: Conditional Density Estimation Network Construction and Evaluation
Description:

Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, etc. following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.

r-cdf 0.1.0
Propagated dependencies: r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CDF
Licenses: Expat
Build system: r
Synopsis: Centroid Decision Forest for High-Dimensional Classification
Description:

This package implements the Centroid Decision Forest (CDF) as a single user-facing function CDF(). The method selects discriminative features via a multi-class class separability score (CSS), splits by nearest class centroid, and aggregates tree votes to produce predictions and class probabilities. Returns CSS-based feature importance as well. Amjad Ali, Saeed Aldahmani, Zardad Khan (2025) <doi:10.48550/arXiv.2503.19306>.

r-clustering 1.7.10
Propagated dependencies: r-xtable@1.8-4 r-toordinal@1.4-0.0 r-sqldf@0.4-11 r-shiny@1.11.1 r-pvclust@2.2-0 r-pracma@2.4.6 r-gmp@0.7-5 r-ggplot2@4.0.1 r-future@1.68.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-data-table@1.17.8 r-clusterr@1.3.5 r-cluster@2.1.8.1 r-apcluster@1.4.14 r-amap@0.8-20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/laperez/clustering
Licenses: GPL 2+
Build system: r
Synopsis: Techniques for Evaluating Clustering
Description:

The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., Garcà a-Vico, à .M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., Garcà a-Vico, à .M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., Garcà a-Vico, à .M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.

r-calcunique 0.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/stephenbfroehlich/calcUnique
Licenses: Expat
Build system: r
Synopsis: Simple Wrapper for Computationally Expensive Functions
Description:

This is a one-function package that will pass only unique values to a computationally-expensive function that returns an output of the same length as the input. In importing and working with tidy data, it is common to have index columns, often including time stamps that are far from unique. Some functions to work with these such as text conversion to other variable types (e.g. as.POSIXct()), various grep()-based functions, and often the cut() function are relatively slow when working with tens of millions of rows or more.

r-colorblindcheck 1.0.4
Propagated dependencies: r-spacesxyz@1.6-0 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://jakubnowosad.com/colorblindcheck/
Licenses: Expat
Build system: r
Synopsis: Check Color Palettes for Problems with Color Vision Deficiency
Description:

Compare color palettes with simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia. It includes calculation of distances between colors, and creating summaries of differences between a color palette and simulations of color vision deficiencies. This work was inspired by the blog post at <https://www.datawrapper.de/blog/colorblind-check>.

r-chromconverter 0.7.5
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-reticulate@1.44.1 r-readxl@1.4.5 r-rams@1.4.3 r-purrr@1.2.0 r-jsonlite@2.0.0 r-fs@1.6.6 r-digest@0.6.39 r-data-table@1.17.8 r-bitops@1.0-9 r-bit64@4.6.0-1 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ethanbass.github.io/chromConverter/
Licenses: GPL 3+
Build system: r
Synopsis: Chromatographic File Converter
Description:

Reads chromatograms from binary formats into R objects. Currently supports conversion of Agilent ChemStation', Agilent MassHunter', Shimadzu LabSolutions', ThermoRaw', and Varian Workstation files as well as various text-based formats. In addition to its internal parsers, chromConverter contains bindings to parsers in external libraries, such as Aston <https://github.com/bovee/aston>, Entab <https://github.com/bovee/entab>, rainbow <https://rainbow-api.readthedocs.io/>, and ThermoRawFileParser <https://github.com/compomics/ThermoRawFileParser>.

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