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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-rkafkajars 1.2
Propagated dependencies: r-runit@0.4.33.1 r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rkafkajars
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: External Jars Required for Package 'rkafka'
Description:

The rkafkajars package collects all the external jars required for the rkafka package.

r-rclabels 0.1.11
Propagated dependencies: r-purrr@1.2.0 r-magrittr@2.0.4 r-hmisc@5.2-4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://matthewheun.github.io/RCLabels/
Licenses: Expat
Build system: r
Synopsis: Manipulate Matrix Row and Column Labels with Ease
Description:

This package provides functions to assist manipulation of matrix row and column labels for all types of matrix mathematics where row and column labels are to be respected.

r-ravecore 0.1.0
Propagated dependencies: r-threebrain@1.2.0 r-s7@0.2.1 r-ravetools@0.2.4 r-ravepipeline@0.0.3 r-r6@2.6.1 r-jsonlite@2.0.0 r-ieegio@0.0.9 r-fs@1.6.6 r-filearray@0.2.0 r-data-table@1.17.8 r-bidsr@0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rave.wiki
Licenses: Expat
Build system: r
Synopsis: Core File Structures and Workflows for 'RAVE'
Description:

Defines storage standard for Read, process, and analyze intracranial electroencephalography and deep-brain stimulation in RAVE', a reproducible framework for analysis and visualization of iEEG by Magnotti, Wang, and Beauchamp, (2020, <doi:10.1016/j.neuroimage.2020.117341>). Supports brain imaging data structure (BIDS) <https://bids.neuroimaging.io> and native file structure to ingest signals from Matlab data files, hierarchical data format 5 (HDF5), European data format (EDF), BrainVision core data format (BVCDF), or BlackRock Microsystem (NEV/NSx); process images in Neuroimaging informatics technology initiative (NIfTI) and FreeSurfer formats, providing brain imaging normalization to template brain, facilitating threeBrain package for comprehensive electrode localization via YAEL (your advanced electrode localizer) by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>).

r-rpackedbar 0.2.2
Propagated dependencies: r-shiny@1.11.1 r-scales@1.4.0 r-plotly@4.11.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/AdamSpannbauer/rPackedBar
Licenses: Expat
Build system: r
Synopsis: Packed Bar Charts with 'plotly'
Description:

Packed bar charts are a variation of treemaps for visualizing skewed data. The concept was introduced by Xan Gregg at JMP'.

r-reat 3.0.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=REAT
Licenses: GPL 2+
Build system: r
Synopsis: Regional Economic Analysis Toolbox
Description:

Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.

r-rdbnomics 0.6.4
Propagated dependencies: r-jsonlite@2.0.0 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://git.nomics.world/dbnomics/rdbnomics
Licenses: AGPL 3
Build system: r
Synopsis: Download DBnomics Data
Description:

R access to hundreds of millions data series from DBnomics API (<https://db.nomics.world/>).

r-renvlp 3.4.5
Propagated dependencies: r-rsolnp@2.0.1 r-pls@2.8-5 r-orthogonalsplinebasis@0.1.7 r-matrixcalc@1.0-6 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Renvlp
Licenses: GPL 2
Build system: r
Synopsis: Computing Envelope Estimators
Description:

This package provides a general routine, envMU, which allows estimation of the M envelope of span(U) given root n consistent estimators of M and U. The routine envMU does not presume a model. This package implements response envelopes, partial response envelopes, envelopes in the predictor space, heteroscedastic envelopes, simultaneous envelopes, scaled response envelopes, scaled envelopes in the predictor space, groupwise envelopes, weighted envelopes, envelopes in logistic regression, envelopes in Poisson regression envelopes in function-on-function linear regression, envelope-based Partial Partial Least Squares, envelopes with non-constant error covariance, envelopes with t-distributed errors, reduced rank envelopes and reduced rank envelopes with non-constant error covariance. For each of these model-based routines the package provides inference tools including bootstrap, cross validation, estimation and prediction, hypothesis testing on coefficients are included except for weighted envelopes. Tools for selection of dimension include AIC, BIC and likelihood ratio testing. Background is available at Cook, R. D., Forzani, L. and Su, Z. (2016) <doi:10.1016/j.jmva.2016.05.006>. Optimization is based on a clockwise coordinate descent algorithm.

r-regreplacer 0.1.0
Propagated dependencies: r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/gwangjinkim/regreplaceR
Licenses: Expat
Build system: r
Synopsis: Match and Replace Strings Based on Named Groups in Regular Expressions
Description:

An R6 class "Replacer" provided by the package simplifies working with regex patterns containing named groups. It allows easy retrieval of matched portions and targeted replacements by group name, improving both code clarity and maintainability.

r-repsd 1.0.1
Propagated dependencies: 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=repsd
Licenses: Expat
Build system: r
Synopsis: Root Expected Proportion Squared Difference for Detecting DIF
Description:

Root Expected Proportion Squared Difference (REPSD) is a nonparametric differential item functioning (DIF) method that (a) allows practitioners to explore for DIF related to small, fine-grained focal groups of examinees, and (b) compares the focal group directly to the composite group that will be used to develop the reported test score scale. Using your provided response matrix with a column that identifies focal group membership, this package provides the REPSD values, a simulated null distribution of possible REPSD values, and the simulated p-values identifying items possibly displaying DIF without requiring enormous sample sizes.

r-random-polychor-pa 1.1.4-5
Propagated dependencies: r-sfsmisc@1.1-23 r-psych@2.5.6 r-nfactors@2.4.1.2 r-mvtnorm@1.3-3 r-mass@7.3-65 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=random.polychor.pa
Licenses: GPL 2+
Build system: r
Synopsis: Parallel Analysis with Polychoric Correlation Matrices
Description:

The Function performs a parallel analysis using simulated polychoric correlation matrices. The nth-percentile of the eigenvalues distribution obtained from both the randomly generated and the real data polychoric correlation matrices is returned. A plot comparing the two types of eigenvalues (real and simulated) will help determine the number of real eigenvalues that outperform random data. The function is based on the idea that if real data are non-normal and the polychoric correlation matrix is needed to perform a Factor Analysis, then the Parallel Analysis method used to choose a non-random number of factors should also be based on randomly generated polychoric correlation matrices and not on Pearson correlation matrices. Random data sets are simulated assuming or a uniform or a multinomial distribution or via the bootstrap method of resampling (i.e., random permutations of cases). Also Multigroup Parallel analysis is made available for random (uniform and multinomial distribution and with or without difficulty factor) and bootstrap methods. An option to choose between default or full output is also available as well as a parameter to print Fit Statistics (Chi-squared, TLI, RMSEA, RMR and BIC) for the factor solutions indicated by the Parallel Analysis. Also weighted correlation matrices may be considered for PA.

r-rajive 1.0
Propagated dependencies: r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RaJIVE
Licenses: Expat
Build system: r
Synopsis: Robust Angle Based Joint and Individual Variation Explained
Description:

This package provides a robust alternative to the aJIVE (angle based Joint and Individual Variation Explained) method (Feng et al 2018: <doi:10.1016/j.jmva.2018.03.008>) for the estimation of joint and individual components in the presence of outliers in multi-source data. It decomposes the multi-source data into joint, individual and residual (noise) contributions. The decomposition is robust to outliers and noise in the data. The method is illustrated in Ponzi et al (2021) <arXiv:2101.09110>.

r-rapidxmlr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rapidxmlr
Licenses: Expat
Build system: r
Synopsis: 'Rapidxml' C++ Header Files
Description:

This package provides XML parsing capability through the Rapidxml C++ header-only library.

r-ragflowchainr 0.1.7
Propagated dependencies: r-xml2@1.5.0 r-rvest@1.0.5 r-pdftools@3.6.0 r-officer@0.7.1 r-httr@1.4.7 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbi@1.2.3 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/knowusuboaky/RAGFlowChainR
Licenses: Expat
Build system: r
Synopsis: Retrieval-Augmented Generation (RAG) Workflows in R with Local and Web Search
Description:

Enables Retrieval-Augmented Generation (RAG) workflows in R by combining local vector search using DuckDB with optional web search via the Tavily API. Supports OpenAI'- and Ollama'-compatible embedding models, full-text and HNSW (Hierarchical Navigable Small World) indexing, and modular large language model (LLM) invocation. Designed for advanced question-answering, chat-based applications, and production-ready AI pipelines. This package is the R equivalent of the python package RAGFlowChain available at <https://pypi.org/project/RAGFlowChain/>.

r-rospca 1.1.1
Propagated dependencies: r-rrcov@1.7-7 r-robustbase@0.99-6 r-pracma@2.4.6 r-pcapp@2.0-5 r-mvtnorm@1.3-3 r-mrfdepth@1.0.17 r-elasticnet@1.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/TReynkens/rospca
Licenses: GPL 2+
Build system: r
Synopsis: Robust Sparse PCA using the ROSPCA Algorithm
Description:

Implementation of robust sparse PCA using the ROSPCA algorithm of Hubert et al. (2016) <DOI:10.1080/00401706.2015.1093962>.

r-revss 2.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/aadler/revss
Licenses: FreeBSD
Build system: r
Synopsis: Robust Estimation in Very Small Samples
Description:

This package implements the estimation techniques described in Rousseeuw & Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for the location and scale of very small samples.

r-rkorapclient 1.2.1
Propagated dependencies: r-xml2@1.5.0 r-urltools@1.7.3.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-r-cache@0.17.0 r-purrr@1.2.0 r-ptxqc@1.1.4 r-magrittr@2.0.4 r-lubridate@1.9.4 r-keyring@1.4.1 r-jsonlite@2.0.0 r-httr2@1.2.1 r-highcharter@0.9.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-curl@7.0.0 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/KorAP/RKorAPClient/
Licenses: FreeBSD
Build system: r
Synopsis: 'KorAP' Web Service Client Package
Description:

This package provides a client package that makes the KorAP web service API accessible from R. The corpus analysis platform KorAP has been developed as a scientific tool to make potentially large, stratified and multiply annotated corpora, such as the German Reference Corpus DeReKo or the Corpus of the Contemporary Romanian Language CoRoLa', accessible for linguists to let them verify hypotheses and to find interesting patterns in real language use. The RKorAPClient package provides access to KorAP and the corpora behind it for user-created R code, as a programmatic alternative to the KorAP web user-interface. You can learn more about KorAP and use it directly on DeReKo at <https://korap.ids-mannheim.de/>.

r-riskdiff 0.3.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jackmurphy2351/riskdiff
Licenses: Expat
Build system: r
Synopsis: Risk Difference Estimation with Multiple Link Functions and Inverse Probability of Treatment Weighting
Description:

Calculates risk differences (or prevalence differences for cross-sectional data) and Number Needed to Treat (NNT) using generalized linear models with automatic link function selection. Provides robust model fitting with fallback methods, support for stratification and adjustment variables, inverse probability of treatment weighting (IPTW) for causal inference with NNT calculations, and publication-ready output formatting. Handles model convergence issues gracefully and provides confidence intervals using multiple approaches. Methods are based on approaches described in Mark W. Donoghoe and Ian C. Marschner (2018) "logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model" <doi:10.18637/jss.v086.i09> for robust GLM fitting, Peter C. Austin (2011) "An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies" <doi:10.1080/00273171.2011.568786> for IPTW methods, and standard epidemiological methods for risk difference estimation as described in Kenneth J. Rothman, Sander Greenland and Timothy L. Lash (2008, ISBN:9780781755641) "Modern Epidemiology".

r-r-temis 0.1.4
Propagated dependencies: r-wordcloud@2.6 r-tm-plugin-lexisnexis@1.4.2 r-tm-plugin-factiva@1.8.1 r-tm-plugin-europresse@1.4.1 r-tm-plugin-alceste@1.1.2 r-tm@0.7-16 r-stringi@1.8.7 r-snowballc@0.7.1 r-slam@0.1-55 r-nlp@0.3-2 r-igraph@2.2.1 r-factominer@2.12 r-explor@0.3.10 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/nalimilan/R.TeMiS
Licenses: GPL 2+
Build system: r
Synopsis: Integrated Text Mining Solution
Description:

An integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, lexical summary, terms co-occurrences and documents similarity measures, graphs of terms, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, as well as from Dow Jones Factiva', LexisNexis', Europresse and Alceste files.

r-rcmdrplugin-nmbu 1.8.15
Propagated dependencies: r-xtable@1.8-4 r-rcmdr@2.9-5 r-pls@2.8-5 r-phia@0.3-2 r-mixlm@1.4.3 r-mass@7.3-65 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/khliland/RcmdrPlugin.NMBU/
Licenses: GPL 2+
Build system: r
Synopsis: R Commander Plug-in for University Level Applied Statistics
Description:

An R Commander "plug-in" extending functionality of linear models and providing an interface to Partial Least Squares Regression and Linear and Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types of analyses, and extra plots, tests and mixed models are available.

r-rneos 0.4-1
Propagated dependencies: r-xml@3.99-0.20 r-rcurl@1.98-1.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rneos
Licenses: GPL 2+
Build system: r
Synopsis: XML-RPC Interface to NEOS
Description:

Within this package the XML-RPC API to NEOS <https://neos-server.org/neos/> is implemented. This enables the user to pass optimization problems to NEOS and retrieve results within R.

r-ropj 0.3-6
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Ropj
Licenses: GPL 3+
Build system: r
Synopsis: Import Origin(R) Project Files
Description:

Read the data from Origin(R) project files ('*.opj') <https://www.originlab.com/doc/User-Guide/Origin-File-Types>. No write support is planned.

r-rdstreeboot 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RDStreeboot
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: RDS Tree Bootstrap Method
Description:

This package provides a tree bootstrap method for estimating uncertainty in respondent-driven samples (RDS). Quantiles are estimated by multilevel resampling in such a way that preserves the dependencies of and accounts for the high variability of the RDS process.

r-rgraph6 2.0-5
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://mbojan.github.io/rgraph6/
Licenses: GPL 3+
Build system: r
Synopsis: Representing Graphs as 'graph6', 'digraph6' or 'sparse6' Strings
Description:

Encode network data as strings of printable ASCII characters. Implemented functions include encoding and decoding adjacency matrices, edgelists, igraph, and network objects to/from formats graph6', sparse6', and digraph6'. The formats and methods are described in McKay, B.D. and Piperno, A (2014) <doi:10.1016/j.jsc.2013.09.003>.

r-rtables-officer 0.1.2
Propagated dependencies: r-systemfonts@1.3.1 r-stringi@1.8.7 r-rtables@0.6.15 r-rlistings@0.2.13 r-officer@0.7.1 r-lifecycle@1.0.4 r-formatters@0.5.12 r-flextable@0.9.10 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/insightsengineering/rtables.officer
Licenses: ASL 2.0
Build system: r
Synopsis: Exporting Tools for 'rtables'
Description:

Designed to create and display complex tables with R, the rtables R package allows cells in an rtables object to contain any high-dimensional data structure, which can then be displayed with cell-specific formatting instructions. Additionally, the rtables.officer package supports export formats related to the Microsoft Office software suite, including Microsoft Word ('docx') and Microsoft PowerPoint ('pptx').

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