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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-rcbsubset 1.1.7
Propagated dependencies: r-rlemon@0.2.1 r-rcbalance@1.8.8 r-plyr@1.8.9 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=rcbsubset
Licenses: Expat
Build system: r
Synopsis: Optimal Subset Matching with Refined Covariate Balance
Description:

This package provides tools for optimal subset matching of treated units and control units in observational studies, with support for refined covariate balance constraints, (including fine and near-fine balance as special cases). A close relative is the rcbalance package. See Pimentel, et al.(2015) <doi:10.1080/01621459.2014.997879> and Pimentel and Kelz (2020) <doi:10.1080/01621459.2020.1720693>. The rrelaxiv package, which provides an alternative solver for the underlying network flow problems, carries an academic license and is not available on CRAN, but may be downloaded from Github at <https://github.com/josherrickson/rrelaxiv/>.

r-rock 0.9.6
Propagated dependencies: r-yum@0.1.0 r-yaml@2.3.10 r-squids@25.6.1 r-purrr@1.2.0 r-markdown@2.0 r-htmltools@0.5.8.1 r-glue@1.8.0 r-ggplot2@4.0.1 r-diagrammersvg@0.1 r-diagrammer@1.0.11 r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rock.opens.science
Licenses: GPL 3
Build system: r
Synopsis: Reproducible Open Coding Kit
Description:

The Reproducible Open Coding Kit ('ROCK', and this package, rock') was developed to facilitate reproducible and open coding, specifically geared towards qualitative research methods. It was developed to be both human- and machine-readable, in the spirit of MarkDown and YAML'. The idea is that this makes it relatively easy to write other functions and packages to process ROCK files. The rock package contains functions for basic coding and analysis, such as collecting and showing coded fragments and prettifying sources, as well as a number of advanced analyses such as the Qualitative Network Approach and Qualitative/Unified Exploration of State Transitions. The ROCK and this rock package are described in the ROCK book (ZörgŠ& Peters, 2022; <https://rockbook.org>), in ZörgŠ& Peters (2024) <doi:10.1080/21642850.2022.2119144> and Peters, ZörgŠand van der Maas (2022) <doi:10.31234/osf.io/cvf52>, and more information and tutorials are available at <https://rock.science>.

r-roblox 1.2.3
Propagated dependencies: r-robastbase@1.2.7 r-rcolorbrewer@1.1-3 r-randvar@1.2.5 r-lattice@0.22-7 r-distrmod@2.9.7 r-distr@2.9.7 r-biobase@2.70.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://robast.r-forge.r-project.org/
Licenses: LGPL 3
Build system: r
Synopsis: Optimally Robust Influence Curves and Estimators for Location and Scale
Description:

This package provides functions for the determination of optimally robust influence curves and estimators in case of normal location and/or scale (see Chapter 8 in Kohl (2005) <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).

r-rppaspace 1.0.10
Propagated dependencies: r-timedate@4051.111 r-tiff@0.1-12 r-sparsem@1.84-2 r-robustbase@0.99-6 r-quantreg@6.1 r-png@0.1-8 r-nlme@3.1-168 r-mgcv@1.9-4 r-jpeg@0.1-11 r-iterators@1.0.14 r-imager@1.0.5 r-foreach@1.5.2 r-doparallel@1.0.17 r-cobs@1.3-9-1 r-bmp@0.3.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://pubmed.ncbi.nlm.nih.gov/36205581
Licenses: Artistic License 2.0
Build system: r
Synopsis: Reverse-Phase Protein Array Super Position and Concentration Evaluation
Description:

This package provides tools for the analysis of reverse-phase protein arrays (RPPAs), which are also known as tissue lysate arrays or simply lysate arrays'. The package's primary purpose is to input a set of quantification files representing dilution series of samples and control points taken from scanned RPPA slides and determine a relative log concentration value for each valid dilution series present in each slide and provide graphical visualization of the input and output data and their relationships. Other optional features include generation of quality control scores for judging the quality of the input data, spatial adjustment of sample points based on controls added to the slides, and various types of normalization of calculated values across a set of slides. The package was derived from a previous package named SuperCurve. For a detailed description of data inputs and outputs, usage information, and a list of related papers describing methods used in the package please review the vignette Guide_to_RPPASPACE'. RPPA SPACE: an R package for normalization and quantitation of Reverse-Phase Protein Array data'. Bioinformatics Nov 15;38(22):5131-5133. <doi: 10.1093/bioinformatics/btac665>.

r-rupturesrcpp 1.0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r6@2.6.1 r-patchwork@1.3.2 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=rupturesRcpp
Licenses: FSDG-compatible
Build system: r
Synopsis: Object-Oriented Interface for Offline Change-Point Detection
Description:

This package provides a collection of efficient implementations of popular offline change-point detection algorithms, featuring a consistent, object-oriented interface for practical use.

r-rcriteo 1.0.2
Propagated dependencies: r-xml@3.99-0.20 r-rcurl@1.98-1.17 r-plyr@1.8.9 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://jburkhardt.github.io/RCriteo/
Licenses: GPL 2+ Expat
Build system: r
Synopsis: Loading Criteo Data into R
Description:

Aims at loading Criteo online advertising campaign data into R. Criteo <http://www.criteo.com/> is an online advertising service that enables advertisers to display commercial ads to web users. The package provides an authentication process for R with the Criteo API <http://kb.criteo.com/ advertising/content/5/27/en/api.html>. Moreover, the package features an interface to query campaign data from the Criteo API. The data can be downloaded and will be transformed into a R data frame.

r-rdecision 1.3.0
Propagated dependencies: r-withr@3.0.2 r-rlang@1.1.6 r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ajsims1704/rdecision
Licenses: GPL 3
Build system: r
Synopsis: Decision Analytic Modelling in Health Economics
Description:

This package provides classes and functions for modelling health care interventions using decision trees and semi-Markov models. Mechanisms are provided for associating an uncertainty distribution with each source variable and for ensuring transparency of the mathematical relationships between variables. The package terminology follows Briggs "Decision Modelling for Health Economic Evaluation" (2006, ISBN:978-0-19-852662-9).

r-rsynthbio 4.1.0
Propagated dependencies: r-keyring@1.4.1 r-jsonlite@2.0.0 r-httr@1.4.7 r-getpass@0.2-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/synthesizebio/rsynthbio
Licenses: Expat
Build system: r
Synopsis: Synthesize Bio API Wrapper
Description:

Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.

r-rdian 0.1.1
Propagated dependencies: r-httr@1.4.7 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ironholds/rdian
Licenses: Expat
Build system: r
Synopsis: Client Library for The Guardian
Description:

This package provides a client library for The Guardian (https://www.guardian.com/) and their API, this package allows users to search for Guardian articles and retrieve both the content and metadata.

r-redcapcast 26.1.1
Propagated dependencies: r-zip@2.3.3 r-vctrs@0.6.5 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-shiny@1.11.1 r-redcapr@1.6.0 r-readr@2.1.6 r-readods@2.3.2 r-purrr@1.2.0 r-openxlsx2@1.25 r-keyring@1.4.1 r-here@1.0.2 r-haven@2.5.5 r-gtsummary@2.5.0 r-gt@1.3.0 r-glue@1.8.0 r-forcats@1.0.1 r-dplyr@1.1.4 r-bslib@0.9.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/agdamsbo/REDCapCAST
Licenses: GPL 3+
Build system: r
Synopsis: REDCap Metadata Casting and Castellated Data Handling
Description:

Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of REDCapRITS by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).

r-regr-easy 1.0.2
Propagated dependencies: r-stargazer@5.2.3 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=regr.easy
Licenses: GPL 3
Build system: r
Synopsis: Easy Linear, Quadratic and Cubic Regression Models
Description:

Focused on linear, quadratic and cubic regression models, it has a function for calculating the models, obtaining a list with their parameters, and a function for making the graphs for the respective models.

r-regda 1.0
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 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=regda
Licenses: GPL 2+
Build system: r
Synopsis: Regularised Discriminant Analysis
Description:

Regularised discriminant analysis functions. The classical regularised discriminant analysis proposed by Friedman in 1989, including cross-validation, of which the linear and quadratic discriminant analyses are special cases. Further, the regularised maximum likelihood linear discriminant analysis, including cross-validation. References: Friedman J.H. (1989): "Regularized Discriminant Analysis". Journal of the American Statistical Association 84(405): 165--175. <doi:10.2307/2289860>. Friedman J., Hastie T. and Tibshirani R. (2009). "The elements of statistical learning", 2nd edition. Springer, Berlin. <doi:10.1007/978-0-387-84858-7>. Tsagris M., Preston S. and Wood A.T.A. (2016). "Improved classification for compositional data using the alpha-transformation". Journal of Classification, 33(2): 243--261. <doi:10.1007/s00357-016-9207-5>.

r-rsclient 0.7-12
Dependencies: zlib@1.3.1 openssl@3.0.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.rforge.net/RSclient/
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Client for Rserve
Description:

Client for Rserve, allowing to connect to Rserve instances and issue commands.

r-rcmdrplugin-bws2 0.3-0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://sites.google.com/view/r4sp/rcmdrplugin
Licenses: GPL 2+
Build system: r
Synopsis: R Commander Plug-in for Case 2 Best-Worst Scaling
Description:

Adds menu items for case 2 (profile case) best-worst scaling (BWS2) to the R Commander. BWS2 is a question-based survey method that constructs profiles (combinations of attribute levels) using an orthogonal array, asks respondents to select the best and worst levels in each profile, and measures preferences for attribute levels by analyzing the responses. For details, see Aizaki and Fogarty (2019) <doi:10.1016/j.jocm.2019.100171>.

r-rehh 3.2.3
Propagated dependencies: r-rehh-data@1.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://CRAN.R-project.org/package=rehh
Licenses: GPL 2+
Build system: r
Synopsis: Searching for Footprints of Selection using 'Extended Haplotype Homozygosity' Based Tests
Description:

Population genetic data such as Single Nucleotide Polymorphisms (SNPs) is often used to identify genomic regions that have been under recent natural or artificial selection and might provide clues about the molecular mechanisms of adaptation. One approach, the concept of an Extended Haplotype Homozygosity (EHH), introduced by (Sabeti 2002) <doi:10.1038/nature01140>, has given rise to several statistics designed for whole genome scans. The package provides functions to compute three of these, namely: iHS (Voight 2006) <doi:10.1371/journal.pbio.0040072> for detecting positive or Darwinian selection within a single population as well as Rsb (Tang 2007) <doi:10.1371/journal.pbio.0050171> and XP-EHH (Sabeti 2007) <doi:10.1038/nature06250>, targeted at differential selection between two populations. Various plotting functions are included to facilitate visualization and interpretation of these statistics.

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-reliagrowr 0.3.2
Propagated dependencies: r-segmented@2.1-4 r-plumber@1.3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://paulgovan.github.io/ReliaGrowR/
Licenses: FSDG-compatible
Build system: r
Synopsis: Reliability Growth Analysis
Description:

Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) (No. AMSAATR138), Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the segmented package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.

r-rflocalfdr 0.9
Propagated dependencies: r-sn@2.1.1 r-ranger@0.17.0 r-randomforest@4.7-1.2 r-minpack-lm@1.2-4 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RFlocalfdr
Licenses: GPL 3+
Build system: r
Synopsis: Significance Level for Random Forest Impurity Importance Scores
Description:

Sets a significance level for Random Forest MDI (Mean Decrease in Impurity, Gini or sum of squares) variable importance scores, using an empirical Bayes approach. See Dunne et al. (2022) <doi:10.1101/2022.04.06.487300>.

r-rpiv 1.0.0
Propagated dependencies: r-ranger@0.17.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/cyrillsch/RPIV
Licenses: GPL 3+
Build system: r
Synopsis: Residual Prediction Test for Well-Specification of Instrumental Variable Models
Description:

This package provides a test for the well-specification of the linear instrumental variable model. The test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "A residual prediction test for the well-specification of linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.

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-rchest 1.0.3
Propagated dependencies: r-reticulate@1.44.1 r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/azalk/GoChest
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Locating Distributional Changes in Highly Dependent Time Series
Description:

This package provides algorithms to locate multiple distributional change-points in piecewise stationary time series. The algorithms are provably consistent, even in the presence of long-range dependencies. Knowledge of the number of change-points is not required. The code is written in Go and interfaced with R.

r-rnavgraphimagedata 0.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://waddella.github.io/loon/
Licenses: GPL 2
Build system: r
Synopsis: Image Data Used in the Loon Package Demos
Description:

Image data used as examples in the loon R package.

r-rsampling 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rsampling
Licenses: GPL 2
Build system: r
Synopsis: Ports the Workflow of "Resampling Stats" Add-in to R
Description:

Resampling Stats (http://www.resample.com) is an add-in for running randomization tests in Excel worksheets. The workflow is (1) to define a statistic of interest that can be calculated from a data table, (2) to randomize rows ad/or columns of a data table to simulate a null hypothesis and (3) and to score the value of the statistic from many randomizations. The relative frequency distribution of the statistic in the simulations is then used to infer the probability of the observed value be generated by the null process (probability of Type I error). This package intends to translate this logic for R for teaching purposes. Keeping the original workflow is favored over performance.

r-retimer 0.1.3
Propagated dependencies: r-tuner@1.4.7 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-signal@1.8-1 r-seewave@2.2.4 r-rpraat@1.3.2-1 r-purrr@1.2.0 r-phontools@0.2-2.2 r-gsignal@0.3-7 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://cran.r-project.org/package=retimer
Licenses: Expat
Build system: r
Synopsis: Retime and Analyse Speech Signals
Description:

Retime speech signals with a native Waveform Similarity Overlap-Add (WSOLA) implementation translated from the TSM toolbox by Driedger & Müller (2014) <https://www.audiolabs-erlangen.de/content/resources/MIR/TSMtoolbox/2014_DriedgerMueller_TSM-Toolbox_DAFX.pdf>. Design retimings and pitch (f0) transformations with tidy data and apply them via Praat interface. Produce spectrograms, spectra, and amplitude envelopes. Includes implementation of vocalic speech envelope analysis (fft_spectrum) technique and example data (mm1) from Tilsen, S., & Johnson, K. (2008) <doi:10.1121/1.2947626>.

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