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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-rlescalation 1.0.3
Propagated dependencies: r-zip@2.3.3 r-reticulate@1.44.1 r-r6@2.6.1 r-nleqslv@3.3.5 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/MatsuuraKentaro/RLescalation
Licenses: Expat
Build system: r
Synopsis: Optimal Dose Escalation Using Deep Reinforcement Learning
Description:

An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).

r-remm 1.2.1
Propagated dependencies: r-stream@2.0-3 r-proxy@0.4-27 r-mass@7.3-65 r-igraph@2.2.1 r-clustergeneration@1.3.8 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mhahsler/rEMM
Licenses: GPL 2
Build system: r
Synopsis: Extensible Markov Model for Modelling Temporal Relationships Between Clusters
Description:

This package implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. Also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.

r-reactable-extras 0.2.1
Propagated dependencies: r-shiny@1.11.1 r-rlang@1.1.6 r-rjson@0.2.23 r-reactable@0.4.5 r-purrr@1.2.0 r-htmltools@0.5.8.1 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://appsilon.github.io/reactable.extras/
Licenses: LGPL 3
Build system: r
Synopsis: Extra Features for 'reactable' Package
Description:

Enhanced functionality for reactable in shiny applications, offering interactive and dynamic data table capabilities with ease. With reactable.extras', easily integrate a range of functions and components to enrich your shiny apps and facilitate user-friendly data exploration.

r-ream 1.0-10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/RaphaelHartmann/ream
Licenses: GPL 2+
Build system: r
Synopsis: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
Description:

Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the python package it is based upon, PyBEAM by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokker-Planck equation dp(x,t)/dt = d(v(x,t)*p(x,t))/dt-0.5*d^2(D(x,t)^2*p(x,t))/dx^2, then solves this equation using the Crank-Nicolson method to determine p(x,t). Finally, it calculates the flux at the decision thresholds, f_i(t) = 0.5*d(D(x,t)^2*p(x,t))/dx evaluated at x = b_i(t), where i is the relevant decision threshold, either upper (i = u) or lower (i = l). The flux at each thresholds f_i(t) is the PDF for each threshold, specifically its PDF. We discuss further details of this approach in this package and PyBEAM publications. Additionally, one can calculate the cumulative distribution functions of and sampling from the EAMs.

r-robust2sls 0.2.3
Propagated dependencies: r-pracma@2.4.6 r-mathjaxr@1.8-0 r-mass@7.3-65 r-ivreg@0.6-7 r-foreach@1.5.2 r-exactci@1.4-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jkurle/robust2sls
Licenses: GPL 3
Build system: r
Synopsis: Outlier Robust Two-Stage Least Squares Inference and Testing
Description:

An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) models. The user specifies a reference distribution against which observations are classified as outliers or not. After removing the outliers, adjusted standard errors are automatically provided. Furthermore, several statistical tests for the false outlier detection rate can be calculated. The outlier removing algorithm can be iterated a fixed number of times or until the procedure converges. The algorithms and robust inference are described in more detail in Jiao (2019) <https://drive.google.com/file/d/1qPxDJnLlzLqdk94X9wwVASptf1MPpI2w/view>.

r-radviz 0.9.5
Propagated dependencies: r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-igraph@2.2.1 r-hexbin@1.28.5 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/yannabraham/Radviz
Licenses: FSDG-compatible
Build system: r
Synopsis: Project Multidimensional Data in 2D Space
Description:

An implementation of the radviz projection in R. It enables the visualization of multidimensional data while maintaining the relation to the original dimensions. This package provides functions to create and plot radviz projections, and a number of summary plots that enable comparison and analysis. For reference see Hoffman *et al.* (1999) (<doi:10.1145/331770.331775>) for original implementation, see Di Caro *et al* (2012) (<doi:10.1007/978-3-642-13672-6_13>), for the original method for dimensional anchor arrangements, see Demsar *et al.* (2007) (<doi:10.1016/j.jbi.2007.03.010>) for the original Freeviz implementation.

r-repsim 0.1.0
Propagated dependencies: r-rdpack@2.6.4 r-rcppeigen@0.3.4.0.2 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=repsim
Licenses: Expat
Build system: r
Synopsis: Measures of Representational Similarity Across Models
Description:

This package provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient C++ backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.

r-rm2006 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RM2006
Licenses: GPL 2+
Build system: r
Synopsis: RiskMetrics 2006 Methodology
Description:

Estimation of the conditional covariance matrix using the RiskMetrics 2006 methodology of Zumbach (2007) <doi:10.2139/ssrn.1420185>.

r-rdocdump 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/e-kotov/rdocdump
Licenses: Expat
Build system: r
Synopsis: Dump 'R' Package Source, Documentation, and Vignettes into One File
Description:

Dump source code, documentation and vignettes of an R package into a single file. Supports installed packages, tar.gz archives, and package source directories. If the package is not installed, only its source is automatically downloaded from CRAN for processing. The output is a single plain text file or a character vector, which is useful to ingest complete package documentation and source into a large language model (LLM) or pass it further to other tools, such as ragnar <https://github.com/tidyverse/ragnar> to create a Retrieval-Augmented Generation (RAG) workflow.

r-rpls 0.6.0
Propagated dependencies: r-robustbase@0.99-6 r-pcapp@2.0-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rpls
Licenses: GPL 3+
Build system: r
Synopsis: Robust Partial Least Squares
Description:

This package provides a robust Partial Least-Squares (PLS) method is implemented that is robust to outliers in the residuals as well as to leverage points. A specific weighting scheme is applied which avoids iterations, and leads to a highly efficient robust PLS estimator.

r-revamp 1.0.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://revamp.ebaker.me.uk/
Licenses: GPL 2+
Build system: r
Synopsis: Interface to 'Vamp' Audio Analysis Plugins
Description:

This package provides an interface to the Vamp audio analysis plugin system <https://www.vamp-plugins.org/> developed by Queen Mary University of London's Centre for Digital Music. Enables loading and running Vamp plugins for various audio analysis tasks including tempo detection, onset detection, spectral analysis, and audio feature extraction. Supports mono and stereo audio with automatic channel adaptation and domain conversion.

r-recor 1.0.3
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/byaxb/recor
Licenses: GPL 3
Build system: r
Synopsis: Rearrangement Correlation Coefficient
Description:

The Rearrangement Correlation Coefficient is an adjusted version of Pearson's correlation coefficient that accurately measures monotonic dependence relationships, including both linear and nonlinear associations. This method addresses the underestimation problem of classical correlation coefficients in nonlinear monotonic scenarios through improved statistical bounds derived from rearrangement inequalities. For more details, see Ai (2024) <doi:10.52202/079017-1180>.

r-read 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-qvalue@2.42.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ReAD
Licenses: GPL 3
Build system: r
Synopsis: Powerful Replicability Analysis of Genome-Wide Association Studies
Description:

This package provides a robust and powerful approach is developed for replicability analysis of two Genome-wide association studies (GWASs) accounting for the linkage disequilibrium (LD) among genetic variants. The LD structure in two GWASs is captured by a four-state hidden Markov model (HMM). The unknowns involved in the HMM are estimated by an efficient expectation-maximization (EM) algorithm in combination with a non-parametric estimation of functions. By incorporating information from adjacent locations via the HMM, this approach identifies the entire clusters of genotype-phenotype associated signals, improving the power of replicability analysis while effectively controlling the false discovery rate.

r-riskcommunicator 1.0.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-mass@7.3-65 r-magrittr@2.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 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=riskCommunicator
Licenses: GPL 3
Build system: r
Synopsis: G-Computation to Estimate Interpretable Epidemiological Effects
Description:

Estimates flexible epidemiological effect measures including both differences and ratios using the parametric G-formula developed as an alternative to inverse probability weighting. It is useful for estimating the impact of interventions in the presence of treatment-confounder-feedback. G-computation was originally described by Robbins (1986) <doi:10.1016/0270-0255(86)90088-6> and has been described in detail by Ahern, Hubbard, and Galea (2009) <doi:10.1093/aje/kwp015>; Snowden, Rose, and Mortimer (2011) <doi:10.1093/aje/kwq472>; and Westreich et al. (2012) <doi:10.1002/sim.5316>.

r-rt3 0.1.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rt3
Licenses: Expat
Build system: r
Synopsis: Tic-Tac-Toe Package for R
Description:

Play the classic game of tic-tac-toe (naughts and crosses).

r-rdatasets 0.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://vincentarelbundock.github.io/Rdatasetspkg/
Licenses: GPL 3+
Build system: r
Synopsis: Access Datasets from the Rdatasets Archive
Description:

Download and access datasets from the Rdatasets archive (<https://vincentarelbundock.github.io/Rdatasets/>). The package provides functions to search, download, and view documentation for thousands of datasets from various R packages, available in both CSV and Parquet formats for efficient access.

r-rcppclock 1.1
Propagated dependencies: r-rcpp@1.1.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RcppClock
Licenses: GPL 2+
Build system: r
Synopsis: Seamless 'Rcpp' Benchmarking
Description:

Time the execution of overlapping or unique Rcpp code chunks using convenient methods, seamlessly write timing results to an RcppClock object in the R global environment, and summarize and/or plot the results in R.

r-rmp 2.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rmp
Licenses: GPL 2
Build system: r
Synopsis: Rounded Mixture Package
Description:

This package performs univariate probability mass function estimation via Bayesian nonparametric mixtures of rounded kernels as in Canale and Dunson (2011) <doi:10.1198/jasa.2011.tm10552>.

r-rdnp 1.3
Propagated dependencies: r-mass@7.3-65 r-cellwise@2.5.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RDnp
Licenses: GPL 2
Build system: r
Synopsis: Robust Test for Complete Independence in High-Dimensions
Description:

Test Statistics for Independence in High-Dimensional Datasets. This package consists of two functions to perform the complete independence test based on test statistics proposed by Bulut (unpublished yet) and suggested by Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. The Bulut's statistic is not sensitive to outliers in high-dimensional data, unlike one of Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. So, the Bulut's statistic can be performed robustly by using RDnp function.

r-rstudiothemes 1.0.0
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-sass@0.4.10 r-rstudioapi@0.17.1 r-jsonlite@2.0.0 r-dplyr@1.1.4 r-colorspace@2.1-2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://dieghernan.github.io/rstudiothemes/
Licenses: Expat
Build system: r
Synopsis: Create 'RStudio' Themes from Visual Studio Code, Positron and 'TextMate' Themes
Description:

Create and install RStudio themes derived from Visual Studio Code, Positron and TextMate themes. Provides functions to convert between TextMate and Visual Studio Code or Positron themes, as well as ports of several Visual Studio Code themes.

r-rcldf 1.5.1
Propagated dependencies: r-urltools@1.7.3.1 r-rlang@1.1.6 r-remotes@2.5.0 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-logger@0.4.1 r-jsonlite@2.0.0 r-dplyr@1.1.4 r-digest@0.6.39 r-csvwr@0.1.7 r-bib2df@1.1.2.0 r-archive@1.1.12.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/SimonGreenhill/rcldf
Licenses: ASL 2.0
Build system: r
Synopsis: Read Linguistic Data in the Cross Linguistic Data Format (CLDF)
Description:

Cross-Linguistic Data Format (CLDF) is a framework for storing cross-linguistic data, ensuring compatibility and ease of data exchange between different linguistic datasets see Forkel et al. (2018) <doi:10.1038/sdata.2018.205>. The rcldf package is designed to facilitate the manipulation and analysis of these datasets by simplifying the loading, querying, and visualisation of CLDF datasets making it easier to conduct comparative linguistic analyses, manage language data, and apply statistical methods directly within R.

r-robvis 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mcguinlu/robvis
Licenses: Expat
Build system: r
Synopsis: Visualize the Results of Risk-of-Bias (ROB) Assessments
Description:

Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review. It allows users to create weighted bar-plots of the distribution of risk-of-bias judgments within each bias domain, in addition to traffic-light plots of the specific domain-level judgments for each study. The resulting figures are of publication quality and are formatted according the risk-of-bias assessment tool use to perform the assessments. Currently, the supported tools are ROB2.0 (for randomized controlled trials; Sterne et al (2019) <doi:10.1136/bmj.l4898>), ROBINS-I (for non-randomised studies of interventions; Sterne et al (2016) <doi:10.1136/bmj.i4919>), and QUADAS-2 (for diagnostic accuracy studies; Whiting et al (2011) <doi:10.7326/0003-4819-155-8-201110180-00009>).

r-receptiviti 0.2.1
Propagated dependencies: r-stringi@1.8.7 r-progressr@0.18.0 r-jsonlite@2.0.0 r-digest@0.6.39 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://receptiviti.github.io/receptiviti-r/
Licenses: Expat
Build system: r
Synopsis: Text Analysis Through the 'Receptiviti' API
Description:

Sends texts to the <https://www.receptiviti.com> API to be scored, and facilitates the creation of custom norms and local results databases.

r-robustlm 0.1.0
Propagated dependencies: r-matrixstats@1.5.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=robustlm
Licenses: GPL 3
Build system: r
Synopsis: Robust Variable Selection with Exponential Squared Loss
Description:

Computationally efficient tool for performing variable selection and obtaining robust estimates, which implements robust variable selection procedure proposed by Wang, X., Jiang, Y., Wang, S., Zhang, H. (2013) <doi:10.1080/01621459.2013.766613>. Users can enjoy the near optimal, consistent, and oracle properties of the procedures.

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