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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-colornamer 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/msanchez-beeckman/ColorNameR
Licenses: Expat
Build system: r
Synopsis: Give Colors a Name
Description:

This package provides a tool for transforming coordinates in a color space to common color names using data from the Royal Horticultural Society and the International Union for the Protection of New Varieties of Plants.

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-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-ctshiny 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rpart-plot@3.1.4 r-rpart@4.1.24 r-rmarkdown@2.30 r-rhandsontable@0.3.8 r-party@1.3-18 r-e1071@1.7-16 r-dplyr@1.1.4 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=CTShiny
Licenses: GPL 2
Build system: r
Synopsis: Interactive Document for Working with Classification Tree Analysis
Description:

An interactive document on the topic of classification tree analysis using rmarkdown and shiny packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/CTShiny/>.

r-cdrcr 0.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-sf@1.0-23 r-rlist@0.4.6.2 r-rlang@1.1.6 r-rjson@0.2.23 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 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=cdrcR
Licenses: GPL 3
Build system: r
Synopsis: Load 'CDRC' Data
Description:

This package provides a wrapper for the CDRC API that returns data frames or sf of CDRC data. The API web reference is:<https://api.cdrc.ac.uk/swagger/index.html>.

r-clintrialdata 0.1.0
Propagated dependencies: r-piggyback@0.1.5 r-jsonlite@2.0.0 r-httr@1.4.7 r-connector@1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://lovemore-gakava.github.io/clinTrialData/
Licenses: FSDG-compatible
Build system: r
Synopsis: Clinical Trial Example Datasets
Description:

This package provides a collection of clinical trial example datasets from multiple sources including the CDISC Pilot 01 study (CDISC <https://www.cdisc.org/>). All datasets are provided in Parquet format for efficient storage and can be accessed using the connector package. Designed for training, testing, prototyping, and demonstrating clinical data analysis workflows.

r-cookiecutter 0.1.0
Propagated dependencies: r-whisker@0.4.1 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-mime@0.13 r-jsonlite@2.0.0 r-fs@1.6.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/felixhenninger/cookiecutter/
Licenses: FSDG-compatible
Build system: r
Synopsis: Generate Project Files from a Template
Description:

Generate project files and directories following a pre-made template. You can specify variables to customize file names and content, and flexibly adapt the template to your needs. cookiecutter for R implements a subset of the excellent cookiecutter package for the Python programming language (<https://github.com/cookiecutter/>), and aims to be largely compatible with the original cookiecutter template format.

r-cemco 0.2
Propagated dependencies: r-rootsolve@1.8.2.4 r-nnet@7.3-20 r-mvtnorm@1.3-3 r-mclust@6.1.2 r-mass@7.3-65 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cemco
Licenses: GPL 2+
Build system: r
Synopsis: Fit 'CemCO' Algorithm
Description:

CemCO algorithm, a model-based (Gaussian) clustering algorithm that removes/minimizes the effects of undesirable covariates during the clustering process both in cluster centroids and in cluster covariance structures (Relvas C. & Fujita A., (2020) <arXiv:2004.02333>).

r-comparator 0.1.4
Propagated dependencies: r-rcpp@1.1.0 r-proxy@0.4-27 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ngmarchant/comparator
Licenses: GPL 2+
Build system: r
Synopsis: Comparison Functions for Clustering and Record Linkage
Description:

This package implements functions for comparing strings, sequences and numeric vectors for clustering and record linkage applications. Supported comparison functions include: generalized edit distances for comparing sequences/strings, Monge-Elkan similarity for fuzzy comparison of token sets, and L-p distances for comparing numeric vectors. Where possible, comparison functions are implemented in C/C++ to ensure good performance.

r-cotrend 1.0.2
Propagated dependencies: r-xts@0.14.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cotrend
Licenses: GPL 3
Build system: r
Synopsis: Consistent Co-Trending Rank Selection
Description:

This package implements cointegration/co-trending rank selection algorithm in Guo and Shintani (2013) "Consistent co-trending rank selection when both stochastic and nonlinear deterministic trends are present". The Econometrics Journal 16: 473-483 <doi:10.1111/j.1368-423X.2012.00392.x>. Numbered examples correspond to Feb 2011 preprint <http://www.fas.nus.edu.sg/ecs/events/seminar/seminar-papers/05Apr11.pdf>.

r-cffr 1.2.1
Propagated dependencies: r-yaml@2.3.10 r-jsonvalidate@1.5.0 r-jsonlite@2.0.0 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://docs.ropensci.org/cffr/
Licenses: GPL 3+
Build system: r
Synopsis: Generate Citation File Format ('cff') Metadata for R Packages
Description:

The Citation File Format version 1.2.0 <doi:10.5281/zenodo.5171937> is a human and machine readable file format which provides citation metadata for software. This package provides core utilities to generate and validate this metadata.

r-catmap 1.6.4
Propagated dependencies: r-metafor@4.8-0 r-forestplot@3.1.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://github.com/tpq/catmap
Licenses: GPL 2
Build system: r
Synopsis: Case-Control and TDT Meta-Analysis Package
Description:

Although many software tools can perform meta-analyses on genetic case-control data, none of these apply to combined case-control and family-based (TDT) studies. This package conducts fixed-effects (with inverse variance weighting) and random-effects [DerSimonian and Laird (1986) <DOI:10.1016/0197-2456(86)90046-2>] meta-analyses on combined genetic data. Specifically, this package implements a fixed-effects model [Kazeem and Farrall (2005) <DOI:10.1046/j.1529-8817.2005.00156.x>] and a random-effects model [Nicodemus (2008) <DOI:10.1186/1471-2105-9-130>] for combined studies.

r-cmgfm 1.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-irlba@2.3.5.1 r-gfm@1.2.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CMGFM
Licenses: GPL 3
Build system: r
Synopsis: Covariate-Augumented Generalized Factor Model
Description:

Covariate-augumented generalized factor model is designed to account for cross-modal heterogeneity, capture nonlinear dependencies among the data, incorporate additional information, and provide excellent interpretability while maintaining high computational efficiency.

r-cancergi 1.0.1
Propagated dependencies: r-systemfit@1.1-30 r-survival@3.8-3 r-reshape2@1.4.5 r-qvalue@2.42.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cancerGI
Licenses: GPL 2+
Build system: r
Synopsis: Analyses of Cancer Gene Interaction
Description:

This package provides functions to perform the following analyses: i) inferring epistasis from RNAi double knockdown data; ii) identifying gene pairs of multiple mutation patterns; iii) assessing association between gene pairs and survival; and iv) calculating the smallworldness of a graph (e.g., a gene interaction network). Data and analyses are described in Wang, X., Fu, A. Q., McNerney, M. and White, K. P. (2014). Widespread genetic epistasis among breast cancer genes. Nature Communications. 5 4828. <doi:10.1038/ncomms5828>.

r-cscnet 0.1.4
Propagated dependencies: r-tidyverse@2.0.0 r-tibble@3.3.0 r-survival@3.8-3 r-stringr@1.6.0 r-riskregression@2026.02.13 r-recipes@1.3.1 r-purrr@1.2.0 r-prodlim@2025.04.28 r-parallelly@1.45.1 r-magrittr@2.0.4 r-glmnet@4.1-10 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://shahin-roshani.github.io/CSCNet/
Licenses: GPL 3+
Build system: r
Synopsis: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty
Description:

Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.

r-csodata 1.5.1
Propagated dependencies: r-tidyr@1.3.1 r-sf@1.0-23 r-rjstat@0.4.3 r-reshape2@1.4.5 r-r-cache@0.17.0 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/CSOIreland/csodata
Licenses: GPL 3
Build system: r
Synopsis: Download Data from the CSO 'PxStat' API
Description:

Imports PxStat data in JSON-stat format and (optionally) reshapes it into wide format. The Central Statistics Office (CSO) is the national statistical institute of Ireland and PxStat is the CSOs online database of Official Statistics. This database contains current and historical data series compiled from CSO statistical releases and is accessed at <https://data.cso.ie>. The CSO PxStat Application Programming Interface (API), which is accessed in this package, provides access to PxStat data in JSON-stat format at <https://data.cso.ie>. This dissemination tool allows developers machine to machine access to CSO PxStat data.

r-cccm 0.1.0
Propagated dependencies: r-rlang@1.1.6 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=cccm
Licenses: GPL 3
Build system: r
Synopsis: Crossed Classification Credibility Model
Description:

Calculates the credit debt for the next period based on the available data using the cross-classification credibility model.

r-compr 1.0
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CompR
Licenses: GPL 2
Build system: r
Synopsis: Paired Comparison Data Analysis
Description:

Different tools for describing and analysing paired comparison data are presented. Main methods are estimation of products scores according Bradley Terry Luce model. A segmentation of the individual could be conducted on the basis of a mixture distribution approach. The number of classes can be tested by the use of Monte Carlo simulations. This package deals also with multi-criteria paired comparison data.

r-caramel 1.4
Propagated dependencies: r-geometry@0.5.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/fzao/caRamel
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Automatic Calibration by Evolutionary Multi Objective Algorithm
Description:

The caRamel optimizer has been developed to meet the requirement for an automatic calibration procedure that delivers a family of parameter sets that are optimal with regard to a multi-objective target (Monteil et al. <doi:10.5194/hess-24-3189-2020>).

r-crisprdesignr 1.1.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: <https://github.com/dylanbeeber/crispRdesignR>
Licenses: GPL 3
Build system: r
Synopsis: Guide Sequence Design for CRISPR/Cas9
Description:

Designs guide sequences for CRISPR/Cas9 genome editing and provides information on sequence features pertinent to guide efficiency. Sequence features include annotated off-target predictions in a user-selected genome and a predicted efficiency score based on the model described in Doench et al. (2016) <doi:10.1038/nbt.3437>. Users are able to import additional genomes and genome annotation files to use when searching and annotating off-target hits. All guide sequences and off-target data can be generated through the R console with sgRNA_Design() or through crispRdesignR's user interface with crispRdesignRUI(). CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) and the associated protein Cas9 refer to a technique used in genome editing.

r-cauphy 1.0.3
Propagated dependencies: r-robustbase@0.99-6 r-pracma@2.4.6 r-phylolm@2.6.5 r-nloptr@2.2.1 r-hdinterval@0.2.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gilles-didier.github.io/cauphy/
Licenses: GPL 3+
Build system: r
Synopsis: Trait Evolution on Phylogenies Using the Cauchy Process
Description:

The Cauchy Process can model pulsed continuous trait evolution on phylogenies. The likelihood is tractable, and is used for parameter inference and ancestral trait reconstruction. See Bastide and Didier (2023) <doi:10.1093/sysbio/syad053>.

r-covbm 0.1.0
Propagated dependencies: 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=covBM
Licenses: GPL 3
Build system: r
Synopsis: Brownian Motion Processes for 'nlme'-Models
Description:

Allows Brownian motion, fractional Brownian motion, and integrated Ornstein-Uhlenbeck process components to be added to linear and non-linear mixed effects models using the structures and methods of the nlme package.

r-cmtftoolbox 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-rtensor@1.4.9 r-pracma@2.4.6 r-multiway@1.0-7 r-mize@0.2.5 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://grvanderploeg.com/CMTFtoolbox/
Licenses: Expat
Build system: r
Synopsis: Create (Advanced) Coupled Matrix and Tensor Factorization Models
Description:

Creation and selection of (Advanced) Coupled Matrix and Tensor Factorization (ACMTF) and ACMTF-Regression (ACMTF-R) models. Selection of the optimal number of components can be done using ACMTF_modelSelection() and ACMTFR_modelSelection()'. The CMTF and ACMTF methods were originally described by Acar et al., 2011 <doi:10.48550/arXiv.1105.3422> and Acar et al., 2014 <doi:10.1186/1471-2105-15-239>, respectively.

r-crrcbcv 1.0
Propagated dependencies: r-survival@3.8-3 r-pracma@2.4.6 r-crrsc@1.1.2 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crrcbcv
Licenses: Expat
Build system: r
Synopsis: Bias-Corrected Variance for Competing Risks Regression with Clustered Data
Description:

This package provides a user friendly function crrcbcv to compute bias-corrected variances for competing risks regression models using proportional subdistribution hazards with small-sample clustered data. Four types of bias correction are included: the MD-type bias correction by Mancl and DeRouen (2001) <doi:10.1111/j.0006-341X.2001.00126.x>, the KC-type bias correction by Kauermann and Carroll (2001) <doi:10.1198/016214501753382309>, the FG-type bias correction by Fay and Graubard (2001) <doi:10.1111/j.0006-341X.2001.01198.x>, and the MBN-type bias correction by Morel, Bokossa, and Neerchal (2003) <doi:10.1002/bimj.200390021>.

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