_            _    _        _         _
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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-rema 0.0.1
Propagated dependencies: r-rdpack@2.6.4 r-rcpp@1.1.0 r-progress@1.2.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rema
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Rare Event Meta Analysis
Description:

The rema package implements a permutation-based approach for binary meta-analyses of 2x2 tables, founded on conditional logistic regression, that provides more reliable statistical tests when heterogeneity is observed in rare event data (Zabriskie et al. 2021 <doi:10.1002/sim.9142>). To adjust for the effect of heterogeneity, this method conditions on the sufficient statistic of a proxy for the heterogeneity effect as opposed to estimating the heterogeneity variance. While this results in the model not strictly falling under the random-effects framework, it is akin to a random-effects approach in that it assumes differences in variability due to treatment. Further, this method does not rely on large-sample approximations or continuity corrections for rare event data. This method uses the permutational distribution of the test statistic instead of asymptotic approximations for inference. The number of observed events drives the computation complexity for creating this permutational distribution. Accordingly, for this method to be computationally feasible, it should only be applied to meta-analyses with a relatively low number of observed events. To create this permutational distribution, a network algorithm, based on the work of Mehta et al. (1992) <doi:10.2307/1390598> and Corcoran et al. (2001) <doi:10.1111/j.0006-341x.2001.00941.x>, is employed using C++ and integrated into the package.

r-rd2roxygen 1.18
Propagated dependencies: r-xfun@0.54 r-roxygen2@7.3.3 r-formatr@1.14
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/yihui/Rd2roxygen
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Convert Rd to 'Roxygen' Documentation
Description:

This package provides functions to convert Rd to roxygen documentation. It can parse an Rd file to a list, create the roxygen documentation and update the original R script (e.g. the one containing the definition of the function) accordingly. This package also provides utilities that can help developers build packages using roxygen more easily. The formatR package can be used to reformat the R code in the examples sections so that the code will be more readable.

r-rcrnorm 0.0.2
Propagated dependencies: r-truncnorm@1.0-9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RCRnorm
Licenses: GPL 2+
Build system: r
Synopsis: An Integrated Regression Model for Normalizing 'NanoString nCounter' Data
Description:

NanoString nCounter is a medium-throughput platform that measures gene or microRNA expression levels. Here is a publication that introduces this platform: Malkov (2009) <doi:10.1186/1756-0500-2-80>. Here is the webpage of NanoString nCounter where you can find detailed information about this platform <https://www.nanostring.com/scientific-content/technology-overview/ncounter-technology>. It has great clinical application, such as diagnosis and prognosis of cancer. Implements integrated system of random-coefficient hierarchical regression model to normalize data from NanoString nCounter platform so that noise from various sources can be removed.

r-rbent 0.1.0
Propagated dependencies: r-rfit@0.27.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://arxiv.org/abs/1606.02234
Licenses: GPL 2+
Build system: r
Synopsis: Robust Bent Line Regression
Description:

An implementation of robust bent line regression. It can fit the bent line regression and test the existence of change point, for the paper, "Feipeng Zhang and Qunhua Li (2016). Robust bent line regression, submitted.".

r-relgam 1.0
Propagated dependencies: r-glmnet@4.1-10 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://arxiv.org/abs/1912.01808
Licenses: GPL 3
Build system: r
Synopsis: Reluctant Generalized Additive Models
Description:

This package provides a method for fitting the entire regularization path of the reluctant generalized additive model (RGAM) for linear regression, logistic, Poisson and Cox regression models. See Tay, J. K., and Tibshirani, R., (2019) <arXiv:1912.01808> for details.

r-rosario 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-future@1.68.0 r-furrr@0.3.1 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://alrobles.github.io/rosario/
Licenses: GPL 3+
Build system: r
Synopsis: Null Model Algorithm to Analyze Cyclical Data in Ecology
Description:

This package implements a null model analysis to quantify concurrent temporal niche overlap (i.e., activity or phenology) among biological identities (e.g., individuals, populations, species) using the Rosario randomization algorithm Castro-Arellano et al. (2010) <doi:10.1111/j.2041-210X.2010.00031.x>.

r-rtropical 1.2.1
Propagated dependencies: r-rfast@2.1.5.2 r-rcppalgos@2.9.3 r-lpsolveapi@5.5.2.0-17.14 r-lpsolve@5.6.23 r-caret@7.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/HoujieWang/Rtropical
Licenses: GPL 3
Build system: r
Synopsis: Data Analysis Tools over Space of Phylogenetic Trees Using Tropical Geometry
Description:

Process phylogenetic trees with tropical support vector machine and principal component analysis defined with tropical geometry. Details about tropical support vector machine are available in : Tang, X., Wang, H. & Yoshida, R. (2020) <arXiv:2003.00677>. Details about tropical principle component analysis are available in : Page, R., Yoshida, R. & Zhang L. (2020) <doi:10.1093/bioinformatics/btaa564> and Yoshida, R., Zhang, L. & Zhang, X. (2019) <doi:10.1007/s11538-018-0493-4>.

r-ripserr 1.0.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/tdaverse/ripserr/
Licenses: GPL 3
Build system: r
Synopsis: Calculate Persistent Homology with Ripser-Based Engines
Description:

Ports the Ripser <doi:10.48550/arXiv.1908.02518> and Cubical Ripser <doi:10.48550/arXiv.2005.12692> persistent homology calculation engines from C++. Can be used as a rapid calculation tool in topological data analysis pipelines.

r-randomgaussiannb 0.2.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RandomGaussianNB
Licenses: Expat
Build system: r
Synopsis: Randomized Feature and Bootstrap-Enhanced Gaussian Naive Bayes Classifier
Description:

This package provides an accessible and efficient implementation of a randomized feature and bootstrap-enhanced Gaussian naive Bayes classifier. The method combines stratified bootstrap resampling with random feature subsampling and aggregates predictions via posterior averaging. Support is provided for mixed-type predictors and parallel computation. Methods are described in Srisuradetchai (2025) <doi:10.3389/fdata.2025.1706417> "Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification".

r-r6p 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-r6@2.6.1 r-dplyr@1.1.4 r-collections@0.3.9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://tidylab.github.io/R6P/
Licenses: Expat
Build system: r
Synopsis: Design Patterns in R
Description:

Build robust and maintainable software with object-oriented design patterns in R. Design patterns abstract and present in neat, well-defined components and interfaces the experience of many software designers and architects over many years of solving similar problems. These are solutions that have withstood the test of time with respect to re-usability, flexibility, and maintainability. R6P provides abstract base classes with examples for a few known design patterns. The patterns were selected by their applicability to analytic projects in R. Using these patterns in R projects have proven effective in dealing with the complexity that data-driven applications possess.

r-robregcc 1.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://arxiv.org/abs/1909.04990
Licenses: GPL 3+
Build system: r
Synopsis: Robust Regression with Compositional Covariates
Description:

We implement the algorithm estimating the parameters of the robust regression model with compositional covariates. The model simultaneously treats outliers and provides reliable parameter estimates. Publication reference: Mishra, A., Mueller, C.,(2019) <arXiv:1909.04990>.

r-rmsd 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RMSD
Licenses: GPL 3+
Build system: r
Synopsis: Refined Modified Stahel-Donoho Estimators for Outlier Detection
Description:

This package provides a function for multivariate outlier detection named Modified Stahel-Donoho (MSD) estimators is contained. The function is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. The function is called the single core version in Wada & Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86> and evaluated with other methods in Wada, Kawano & Tsubaki (2020) <doi:10.17713/ajs.v49i2.872>.

r-relevent 1.2-1
Propagated dependencies: r-trust@0.1-8 r-sna@2.8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=relevent
Licenses: GPL 2+
Build system: r
Synopsis: Relational Event Models
Description:

This package provides tools to fit and simulate realizations from relational event models.

r-rca 2.0
Propagated dependencies: r-igraph@2.2.1 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RCA
Licenses: GPL 2+
Build system: r
Synopsis: Relational Class Analysis
Description:

Relational Class Analysis (RCA) is a method for detecting heterogeneity in attitudinal data (as described in Goldberg A., 2011, Am. J. Soc, 116(5)).

r-repello 1.0.1
Propagated dependencies: r-stringr@1.6.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/thomasgstewart/repello
Licenses: Expat
Build system: r
Synopsis: Reports from Trello in R
Description:

This package creates reports from Trello, a collaborative, project organization and list-making application. <https://trello.com/> Reports are created by comparing individual Trello board cards from two different points in time and documenting any changes made to the cards.

r-rbacon 3.5.2
Propagated dependencies: r-rintcal@1.3.1 r-rice@1.6.2 r-rcpp@1.1.0 r-data-table@1.17.8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rbacon
Licenses: GPL 2+
Build system: r
Synopsis: Age-Depth Modelling using Bayesian Statistics
Description:

An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).

r-rethinker 1.1.0
Propagated dependencies: r-rjson@0.2.23
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mbq/rethinker
Licenses: GPL 3
Build system: r
Synopsis: RethinkDB Client
Description:

Simple, native RethinkDB client.

r-rptr 0.9.23
Propagated dependencies: r-pbapply@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mastoffel/rptR
Licenses: Expat
Build system: r
Synopsis: Repeatability Estimation for Gaussian and Non-Gaussian Data
Description:

Estimating repeatability (intra-class correlation) from Gaussian, binary, proportion and Poisson data.

r-recforest 1.0.2
Propagated dependencies: r-timereg@2.0.7 r-tibble@3.3.0 r-survival@3.8-3 r-reda@0.5.6 r-purrr@1.2.0 r-mets@1.3.9 r-magrittr@2.0.4 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=recforest
Licenses: FSDG-compatible
Build system: r
Synopsis: Random Survival Forest for Recurrent Events
Description:

This package provides a tool designed to analyze recurrent events when dealing with right-censored data and the potential presence of a terminal event (that prevents further occurrences, like death). It extends the random survival forest algorithm, adapting splitting rules and node estimators to handle complexities of recurrent events. The methodology is fully described in Murris, J., Bouaziz, O., Jakubczak, M., Katsahian, S., & Lavenu, A. (2024) (<https://hal.science/hal-04612431v1/document>).

r-rwnn 0.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-randtoolbox@2.0.5 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RWNN
Licenses: Expat
Build system: r
Synopsis: Random Weight Neural Networks
Description:

Creation, estimation, and prediction of random weight neural networks (RWNN), Schmidt et al. (1992) <doi:10.1109/ICPR.1992.201708>, including popular variants like extreme learning machines, Huang et al. (2006) <doi:10.1016/j.neucom.2005.12.126>, sparse RWNN, Zhang et al. (2019) <doi:10.1016/j.neunet.2019.01.007>, and deep RWNN, Henrà quez et al. (2018) <doi:10.1109/IJCNN.2018.8489703>. It further allows for the creation of ensemble RWNNs like bagging RWNN, Sui et al. (2021) <doi:10.1109/ECCE47101.2021.9595113>, boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et al. (2021) <doi:10.1016/j.patcog.2021.107978>.

r-robextremes 1.3.2
Propagated dependencies: r-startupmsg@1.0.0 r-roptest@1.3.5 r-robustbase@0.99-6 r-robastrda@1.2.2 r-robastbase@1.2.7 r-randvar@1.2.5 r-evd@2.3-7.1 r-distrmod@2.9.7 r-distrex@2.9.6 r-distr@2.9.7 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://r-forge.r-project.org/projects/robast/
Licenses: LGPL 3
Build system: r
Synopsis: Optimally Robust Estimation for Extreme Value Distributions
Description:

Optimally robust estimation for extreme value distributions using S4 classes and methods (based on packages distr', distrEx', distrMod', RobAStBase', and ROptEst'); the underlying theoretic results can be found in Ruckdeschel and Horbenko, (2013 and 2012), \doi10.1080/02331888.2011.628022 and \doi10.1007/s00184-011-0366-4.

r-rmapzen 0.5.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sf@1.0-23 r-purrr@1.2.0 r-jsonlite@2.0.0 r-isocodes@2025.05.18 r-httr@1.4.7 r-geojsonio@0.11.3 r-dplyr@1.1.4 r-digest@0.6.39 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://tarakc02.github.io/rmapzen/
Licenses: Expat
Build system: r
Synopsis: Client for 'Mapzen' and Related Map APIs
Description:

This package provides an interface to Mapzen'-based APIs (including geocode.earth, Nextzen, and NYC GeoSearch) for geographic search and geocoding, isochrone calculation, and vector data to draw map tiles. See <https://www.mapzen.com/documentation/> for more information. The original Mapzen has gone out of business, but rmapzen can be set up to work with any provider who implements the Mapzen API.

r-rrmorph 0.0.2
Propagated dependencies: r-rvcg@0.25 r-rrphylo@3.0.2 r-rgl@1.3.31 r-morpho@2.13
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RRmorph
Licenses: GPL 2
Build system: r
Synopsis: 3D Morphological Analyses with 'RRphylo'
Description:

Combined with RRphylo', this package provides a powerful tool to analyse and visualise 3d models (surfaces and meshes) in a phylogenetically explicit context (Melchionna et al., 2024 <doi:10.1038/s42003-024-06710-8>).

r-rebus-unicode 0.0-2.1
Propagated dependencies: r-rebus-base@0.0-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rebus.unicode
Licenses: FSDG-compatible
Build system: r
Synopsis: Unicode Extensions for the 'rebus' Package
Description:

Build regular expressions piece by piece using human readable code. This package contains Unicode functionality, and is primarily intended to be used by package developers.

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Total results: 68658