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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-randomgodb 1.1
Propagated dependencies: r-minimalistgodb@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=randomGODB
Licenses: GPL 2+
Build system: r
Synopsis: Random GO Database
Description:

The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes into hierarchical categories based on biological process (BP), molecular function (MF) and cellular component (CC, i.e., subcellular localization). Tools such as GoMiner (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. The significance is traditionally determined by randomizing the input gene list to computing the false discovery rate (FDR) of the enrichment p-value for each category. We explore here the novel alternative of randomizing the GO database rather than the gene list.

r-rcppeigenad 1.1.0
Propagated dependencies: r-readr@2.1.6 r-rdpack@2.6.4 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-memoise@2.0.1 r-functional@0.6 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RcppEigenAD
Licenses: GPL 2+
Build system: r
Synopsis: Generate Partial Derivatives using 'Rcpp', 'Eigen' and 'CppAD'
Description:

Compiles C++ code using Rcpp <doi:10.18637/jss.v040.i08>, Eigen <doi:10.18637/jss.v052.i05> and CppAD to produce first and second order partial derivatives. Also provides an implementation of Faa di Bruno's formula to combine the partial derivatives of composed functions.

r-rabr 0.1.1
Propagated dependencies: r-survival@3.8-3 r-multxpert@0.1.1 r-multcomp@1.4-29 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8 r-cubature@2.1.4-1 r-asd@2.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/tian-yu-zhan/RABR
Licenses: Expat
Build system: r
Synopsis: Simulations for Response Adaptive Block Randomization Design
Description:

Conduct simulations of the Response Adaptive Block Randomization (RABR) design to evaluate its type I error rate, power and operating characteristics for binary and continuous endpoints. For more details of the proposed method, please refer to Zhan et al. (2021) <doi:10.1002/sim.9104>.

r-roxy-shinylive 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-roxygen2@7.3.3 r-lzstring@0.2.0 r-jsonlite@2.0.0 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/insightsengineering/roxy.shinylive/
Licenses: ASL 2.0
Build system: r
Synopsis: 'roxygen2' Extension for 'Shinylive'
Description:

An extension for roxygen2 to embed Shinylive applications in the package documentation.

r-robustmeta 1.2-1
Propagated dependencies: r-metafor@4.8-0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=robustmeta
Licenses: GPL 3
Build system: r
Synopsis: Robust Inference for Meta-Analysis with Influential Outlying Studies
Description:

Robust inference methods for fixed-effect and random-effects models of meta-analysis are implementable. The robust methods are developed using the density power divergence that is a robust estimating criterion developed in machine learning theory, and can effectively circumvent biases and misleading results caused by influential outliers. The density power divergence is originally introduced by Basu et al. (1998) <doi:10.1093/biomet/85.3.549>, and the meta-analysis methods are developed by Noma et al. (2022) <forthcoming>.

r-rsnell 0.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/pfpetrowski/rsnell
Licenses: Expat
Build system: r
Synopsis: Snell Scoring
Description:

The Snell scoring procedure, implemented in R. This procedure was first described by E.J Snell (1964) <doi:10.2307/2528498> and was later used by Tong et al (1977) <doi:10.4141/cjas77-001> in dairy.

r-rsafe 0.1.4
Propagated dependencies: r-sets@1.0-25 r-ingredients@2.3.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dendextend@1.19.1 r-dalex@2.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ModelOriented/rSAFE
Licenses: GPL 3
Build system: r
Synopsis: Surrogate-Assisted Feature Extraction
Description:

This package provides a model agnostic tool for white-box model trained on features extracted from a black-box model. For more information see: Gosiewska et al. (2020) <doi:10.1016/j.dss.2021.113556>.

r-rpregression 0.1.0
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=RPregression
Licenses: GPL 3
Build system: r
Synopsis: Simple Regression and Plotting Tool
Description:

Perform a regression analysis, generate a regression table, create a scatter plot, and download the results. It uses stargazer for generating regression tables and ggplot2 for creating plots. With just two lines of code, you can perform a regression analysis, visualize the results, and save the output. It is part of my make R easy project where one doesn't need to know how to use various packages in order to get results and makes it easily accessible to beginners. This is a part of my make R easy project. Help from ChatGPT was taken. References were Wickham (2016) <doi:10.1007/978-3-319-24277-4>.

r-raven-rdf 0.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/raven-computing/rdf
Licenses: FSDG-compatible
Build system: r
Synopsis: An R Interface for Raven DataFrames (Beta0)
Description:

This package provides an I/O interface between R data.frames and Raven DataFrames. Defines functions to both read and write DataFrame files, as well as serialize/deserialize data.frames/DataFrames.

r-rcbayes 0.3.0
Propagated dependencies: r-tidybayes@3.0.7 r-tibble@3.3.0 r-stanheaders@2.32.10 r-shinythemes@1.2.0 r-shiny@1.11.1 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rdpack@2.6.4 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rcbayes
Licenses: Expat
Build system: r
Synopsis: Estimate Rogers-Castro Migration Age Schedules with Bayesian Models
Description:

This package provides a collection of functions to estimate Rogers-Castro migration age schedules using Stan'. This model which describes the fundamental relationship between migration and age in the form of a flexible multi-exponential migration model was most notably proposed in Rogers and Castro (1978) <doi:10.1068/a100475>.

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-rcexttools 0.1.1
Propagated dependencies: r-visnetwork@2.1.4 r-sqldf@0.4-11 r-igraph@2.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://github.com/brunomssmelo/RcextTools/
Licenses: GPL 2+
Build system: r
Synopsis: Analytical Procedures in Support of Brazilian Public Sector External Auditing
Description:

Set of analytical procedures based on advanced data analysis in support of Brazil's public sector external control activity.

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-rjd3toolkit 3.6.0
Dependencies: openjdk@25
Propagated dependencies: r-rprotobuf@0.4.25 r-rjd3jars@0.0.1 r-rjava@1.0-11 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/rjdverse/rjd3toolkit
Licenses: FSDG-compatible
Build system: r
Synopsis: Utility Functions Around 'JDemetra+ 3.0'
Description:

R Interface to JDemetra+ 3.x (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, Unobserved Components AutoRegressive Integrated Moving Average (UCARIMA) models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using rjd3x13 or rjd3tramoseats'.

r-roi-plugin-deoptim 1.0-2
Propagated dependencies: r-roi@1.0-1 r-deoptimr@1.1-4 r-deoptim@2.2-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://roigrp.gitlab.io
Licenses: GPL 3
Build system: r
Synopsis: 'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization Interface
Description:

Enhances the R Optimization Infrastructure ('ROI') package with the DEoptim and DEoptimR package. DEoptim is used for unconstrained optimization and DEoptimR for constrained optimization.

r-resistorarray 1.0-32
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/RobinHankin/ResistorArray.git
Licenses: GPL 2
Build system: r
Synopsis: Electrical Properties of Resistor Networks
Description:

Electrical properties of resistor networks using matrix methods.

r-resi 1.3.2
Propagated dependencies: r-sandwich@3.1-1 r-nlme@3.1-168 r-lmtest@0.9-40 r-ggplot2@4.0.1 r-clubsandwich@0.6.1 r-car@3.1-3 r-boot@1.3-32 r-aod@1.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://statimagcoll.github.io/RESI/
Licenses: GPL 3
Build system: r
Synopsis: Robust Effect Size Index (RESI) Estimation
Description:

Summarize model output using a robust effect size index. The index is introduced in Vandekar, Tao, & Blume (2020, <doi:10.1007/s11336-020-09698-2>). Software paper available at <doi:10.18637/jss.v112.i03>.

r-represent 1.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=represent
Licenses: GPL 3
Build system: r
Synopsis: Determine How Representative Two Multidimensional Data Sets are
Description:

Compute the values of various parameters evaluating how similar two multidimensional datasets structures are in multidimensional space, as described in: Jouan-Rimbaud, D., Massart, D. L., Saby, C. A., Puel, C. (1998), <doi:10.1016/S0169-7439(98)00005-7>. The computed parameters evaluate three properties, namely, the direction of the data sets, the variance-covariance of the data points, and the location of the data sets centroids. The package contains workhorse function jrparams(), as well as two helper functions Mboxtest() and JRsMahaldist(), and four example data sets.

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-rootsextremainflections 1.2.5
Propagated dependencies: r-iterators@1.0.14 r-inflection@1.3.7 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=RootsExtremaInflections
Licenses: GPL 2
Build system: r
Synopsis: Finds Roots, Extrema and Inflection Points of a Curve
Description:

Implementation of Taylor Regression Estimator (TRE), Tulip Extreme Finding Estimator (TEFE), Bell Extreme Finding Estimator (BEFE), Integration Extreme Finding Estimator (IEFE) and Integration Root Finding Estimator (IRFE) for roots, extrema and inflections of a curve . Christopoulos, DT (2019) <doi:10.13140/RG.2.2.17158.32324> . Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076> . Christopoulos, DT (2016) <https://demovtu.veltech.edu.in/wp-content/uploads/2016/04/Paper-04-2016.pdf> . Christopoulos, DT (2014) <doi:10.48550/arXiv.1206.5478> .

r-ritc 1.3
Propagated dependencies: r-minpack-lm@1.2-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Ritc
Licenses: GPL 3
Build system: r
Synopsis: Isothermal Titration Calorimetry (ITC) Data Analysis
Description:

Selected functions for simulation and regression of integrated Isothermal Titration Calorimetry (ITC) data with the most commonly used one-to-one binding model.

r-roahd 1.4.3
Propagated dependencies: r-scales@1.4.0 r-robustbase@0.99-6 r-plotly@4.11.0 r-magrittr@2.0.4 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://astamm.github.io/roahd/
Licenses: GPL 3
Build system: r
Synopsis: Robust Analysis of High Dimensional Data
Description:

This package provides a collection of methods for the robust analysis of univariate and multivariate functional data, possibly in high-dimensional cases, and hence with attention to computational efficiency and simplicity of use. See the R Journal publication of Ieva et al. (2019) <doi:10.32614/RJ-2019-032> for an in-depth presentation of the roahd package. See Aleman-Gomez et al. (2021) <arXiv:2103.08874> for details about the concept of depthgram.

r-rope 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rope
Licenses: GPL 3
Build system: r
Synopsis: Model Selection with FDR Control of Selected Variables
Description:

Selects one model with variable selection FDR controlled at a specified level. A q-value for each potential variable is also returned. The input, variable selection counts over many bootstraps for several levels of penalization, is modeled as coming from a beta-binomial mixture distribution.

r-rphosfate 2.0.1
Propagated dependencies: r-yaml@2.3.10 r-terra@1.8-86 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://gisler.github.io/RPhosFate/
Licenses: AGPL 3+
Build system: r
Synopsis: Soil and Chemical Substance Emission and Transport Model
Description:

An enhanced version of the semi-empirical, spatially distributed emission and transport model PhosFate implemented in R and C++'. It is based on the D-infinity, but also supports the D8 flow method. The currently available substances are suspended solids (SS) and particulate phosphorus (PP). A major feature is the allocation of substance loads entering surface waters to their sources of origin, which is a basic requirement for the identification of critical source areas and in consequence a cost-effective implementation of mitigation measures. References: Hepp et al. (2022) <doi:10.1016/j.jenvman.2022.114514>; Hepp and Zessner (2019) <doi:10.3390/w11102161>; Kovacs (2013) <http://hdl.handle.net/20.500.12708/9468>.

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