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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-raymolecule 0.5.3
Propagated dependencies: r-rayvertex@0.12.0 r-rayrender@0.38.10 r-periodictable@0.1.2 r-magrittr@2.0.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.raymolecule.com/
Licenses: GPL 3
Build system: r
Synopsis: Parse and Render Molecular Structures in 3D
Description:

Downloads and parses SDF (Structural Description Format) and PDB (Protein Database) files for 3D rendering.

r-rdomains 0.2.1
Propagated dependencies: r-xml2@1.5.0 r-xml@3.99-0.20 r-virustotal@0.5.0 r-urltools@1.7.3.1 r-r-utils@2.13.0 r-matrix@1.7-4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glmnet@4.1-10 r-devtools@2.4.6 r-curl@7.0.0 r-aws-alexa@0.1.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rdomains
Licenses: Expat
Build system: r
Synopsis: Get the Category of Content Hosted by a Domain
Description:

Get the category of content hosted by a domain. Use Shallalist <http://shalla.de/>, Virustotal (which provides access to lots of services) <https://www.virustotal.com/>, Alexa <https://aws.amazon.com/awis/>, DMOZ <https://curlie.org/>, University Domain list <https://github.com/Hipo/university-domains-list> or validated machine learning classifiers based on Shallalist data to learn about the kind of content hosted by a domain.

r-rtg 1.0.4
Propagated dependencies: r-minpack-lm@1.2-4 r-mgcv@1.9-4 r-magrittr@2.0.4 r-knitr@1.50 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-brnn@0.9.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jernejjevsenak/rTG
Licenses: GPL 3
Build system: r
Synopsis: Methods to Analyse Seasonal Radial Tree Growth Data
Description:

This package provides methods for comparing different regression algorithms for describing the temporal dynamics of secondary tree growth (xylem and phloem). Users can compare the accuracy of the most common fitting methods usually used to analyse xylem and phloem data, i.e., Gompertz function, Double Gompertz function, General Additive Models (GAMs); and an algorithm newly introduced to the field, i.e., Bayesian Regularised Neural Networks (brnn). The core function of the package is XPSgrowth(), while the results can be interpreted using implemented generic S3 methods, such as plot() and summary().

r-rayrender 0.38.10
Dependencies: tbb@2021.6.0
Propagated dependencies: r-withr@3.0.2 r-vctrs@0.6.5 r-testthat@3.3.0 r-spacefillr@0.4.0 r-rcppthread@2.2.0 r-rcpp@1.1.0 r-rayvertex@0.12.0 r-rayimage@0.15.1 r-raster@3.6-32 r-progress@1.2.3 r-png@0.1-8 r-pillar@1.11.1 r-magrittr@2.0.4 r-decido@0.4.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.rayrender.net
Licenses: GPL 3
Build system: r
Synopsis: Build and Raytrace 3D Scenes
Description:

Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the Wavefront OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.

r-rpyants 0.0.6
Propagated dependencies: r-rpymat@0.1.8 r-rnifti@1.8.0 r-reticulate@1.44.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://dipterix.org/rpyANTs/
Licenses: ASL 2.0
Build system: r
Synopsis: An Alternative Advanced Normalization Tools ('ANTs')
Description:

This package provides portable access from R to biomedical image processing toolbox ANTs by Avants et al. (2009) <doi:10.54294/uvnhin> via seamless integration with the Python implementation ANTsPy'. Allows biomedical images to be processed in Python and analyzed in R', and vice versa via shared memory. See citation("rpyANTs") for more reference information.

r-r2mlwin 0.8-10
Propagated dependencies: r-tibble@3.3.0 r-texreg@1.39.5 r-memisc@0.99.31.8.3 r-matrix@1.7-4 r-lattice@0.22-7 r-foreign@0.8-90 r-foreach@1.5.2 r-doparallel@1.0.17 r-digest@0.6.39 r-coda@0.19-4.1 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.bristol.ac.uk/cmm/software/r2mlwin/
Licenses: GPL 2+
Build system: r
Synopsis: Running 'MLwiN' from Within R
Description:

An R command interface to the MLwiN multilevel modelling software package.

r-rhmc 1.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rhmc
Licenses: GPL 3
Build system: r
Synopsis: Hamiltonian Monte Carlo
Description:

This package implements simple Hamiltonian Monte Carlo routines in R for sampling from any desired target distribution which is continuous and smooth. See Neal (2017) <arXiv:1701.02434> for further details on Hamiltonian Monte Carlo. Automatic parameter selection is not supported.

r-rstatscn 1.1.3
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.bagualu.net/
Licenses: ASL 2.0
Build system: r
Synopsis: R Interface for China National Data
Description:

R interface for china national data <http://data.stats.gov.cn/>, some convenient functions for accessing the national data are provided.

r-riskparityportfolio 0.2.2
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-quadprog@1.5-8 r-nloptr@2.2.1 r-matrix@1.7-4 r-alabama@2023.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://CRAN.R-project.org/package=riskParityPortfolio
Licenses: GPL 3
Build system: r
Synopsis: Design of Risk Parity Portfolios
Description:

Fast design of risk parity portfolios for financial investment. The goal of the risk parity portfolio formulation is to equalize or distribute the risk contributions of the different assets, which is missing if we simply consider the overall volatility of the portfolio as in the mean-variance Markowitz portfolio. In addition to the vanilla formulation, where the risk contributions are perfectly equalized subject to no shortselling and budget constraints, many other formulations are considered that allow for box constraints and shortselling, as well as the inclusion of additional objectives like the expected return and overall variance. See vignette for a detailed documentation and comparison, with several illustrative examples. The package is based on the papers: Y. Feng, and D. P. Palomar (2015). SCRIP: Successive Convex Optimization Methods for Risk Parity Portfolio Design. IEEE Trans. on Signal Processing, vol. 63, no. 19, pp. 5285-5300. <doi:10.1109/TSP.2015.2452219>. F. Spinu (2013), An Algorithm for Computing Risk Parity Weights. <doi:10.2139/ssrn.2297383>. T. Griveau-Billion, J. Richard, and T. Roncalli (2013). A fast algorithm for computing High-dimensional risk parity portfolios. <arXiv:1311.4057>.

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-rrepast 0.8.0
Propagated dependencies: r-xlsx@0.6.5 r-sensitivity@1.31.0 r-rjava@1.0-11 r-lhs@1.2.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dosnow@1.0.20 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/antonio-pgarcia/rrepast
Licenses: Expat
Build system: r
Synopsis: Invoke 'Repast Simphony' Simulation Models
Description:

An R and Repast integration tool for running individual-based (IbM) simulation models developed using Repast Simphony Agent-Based framework directly from R code supporting multicore execution. This package integrates Repast Simphony models within R environment, making easier the tasks of running and analyzing model output data for automated parameter calibration and for carrying out uncertainty and sensitivity analysis using the power of R environment.

r-rvertnet 0.8.4
Propagated dependencies: r-tibble@3.3.0 r-maps@3.4.3 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ropensci/rvertnet
Licenses: Expat
Build system: r
Synopsis: Search 'Vertnet', a 'Database' of Vertebrate Specimen Records
Description:

Retrieve, map and summarize data from the VertNet.org archives (<https://vertnet.org/>). Functions allow searching by many parameters, including taxonomic names, places, and dates. In addition, there is an interface for conducting spatially delimited searches, and another for requesting large datasets via email.

r-rclsp 0.4.0
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-cvxr@1.0-15
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/econcz/rclsp
Licenses: Expat
Build system: r
Synopsis: Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Description:

Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.

r-rmargint 2.0.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rmargint
Licenses: GPL 3+
Build system: r
Synopsis: Robust Marginal Integration Procedures
Description:

Three robust marginal integration procedures for additive models based on local polynomial kernel smoothers. As a preliminary estimator of the multivariate function for the marginal integration procedure, a first approach uses local constant M-estimators, a second one uses local polynomials of order 1 over all the components of covariates, and the third one uses M-estimators based on local polynomials but only in the direction of interest. For this last approach, estimators of the derivatives of the additive functions can be obtained. All three procedures can compute predictions for points outside the training set if desired. See Boente and Martinez (2017) <doi:10.1007/s11749-016-0508-0> for details.

r-rbounds 2.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rbounds
Licenses: GPL 2+
Build system: r
Synopsis: Perform Rosenbaum Bounds Sensitivity Tests for Matched and Unmatched Data
Description:

Takes matched and unmatched data and calculates Rosenbaum bounds for the treatment effect. Calculates bounds for binary outcome data, Hodges-Lehmann point estimates, Wilcoxon signed-rank test for matched data and matched IV estimators, Wilcoxon sum rank test, and for data with multiple matched controls. The sensitivity analysis methods in this package are documented in Rosenbaum (2002) Observational Studies, <doi:10.1007/978-1-4757-3692-2>, Springer-Verlag.

r-rytstat 0.3.2
Propagated dependencies: r-withr@3.0.2 r-tidyr@1.3.1 r-stringr@1.6.0 r-snakecase@0.11.1 r-rlang@1.1.6 r-pbapply@1.7-4 r-httr@1.4.7 r-gargle@1.6.0 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://selesnow.github.io/rytstat/docs/
Licenses: Expat
Build system: r
Synopsis: Work with 'YouTube API'
Description:

Provide function for get data from YouTube Data API <https://developers.google.com/youtube/v3/docs/>, YouTube Analytics API <https://developers.google.com/youtube/analytics/reference/> and YouTube Reporting API <https://developers.google.com/youtube/reporting/v1/reports>.

r-radstackshelpr 0.1.0
Propagated dependencies: r-vcfr@1.15.0 r-gridextra@2.3 r-ggridges@0.5.7 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=RADstackshelpR
Licenses: Expat
Build system: r
Synopsis: Optimize the De Novo Stacks Pipeline via R
Description:

Offers a handful of useful wrapper functions which streamline the reading, analyzing, and visualizing of variant call format (vcf) files in R. This package was designed to facilitate an explicit pipeline for optimizing Stacks (Rochette et al., 2019) (<doi:10.1111/mec.15253>) parameters during de novo (without a reference genome) assembly and variant calling of restriction-enzyme associated DNA sequence (RADseq) data. The pipeline implemented here is based on the 2017 paper "Lost in Parameter Space" (Paris et al., 2017) (<doi:10.1111/2041-210X.12775>) which establishes clear recommendations for optimizing the parameters m', M', and n', during the process of assembling loci.

r-readsdmx 0.3.1
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/mdequeljoe/readsdmx
Licenses: GPL 3
Build system: r
Synopsis: Read SDMX-XML Data
Description:

Read Statistical Data and Metadata Exchange (SDMX) XML data. This the main transmission format used in official statistics. Data can be imported from local SDMX-ML files or a SDMX web-service and will be read in as is into a dataframe object. The RapidXML C++ library <https://rapidxml.sourceforge.net/> is used to parse the XML data.

r-rcd3 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rcd3
Licenses: GPL 3
Build system: r
Synopsis: Efficient Row-Column Designs for 3 Level Factorial Experiments in 3 Rows
Description:

This package provides functions to construct efficient row-column designs for 3-level factorial experiments in 3 rows. The designs ensure the estimation of all main effects (full efficiency) and two factor interactions in minimum replications. For more details, see Dey, A. and Mukerjee, R. (2012) <doi:10.1016/j.spl.2012.06.014> and Dash, S., Parsad, R., and Gupta, V. K. (2013) <doi:10.1007/s40003-013-0059-5>.

r-recogito 0.2.1
Propagated dependencies: r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/DIGI-VUB/recogito
Licenses: Modified BSD
Build system: r
Synopsis: Interactive Annotation of Text and Images
Description:

Annotate text with entities and the relations between them. Annotate areas of interest in images with your labels. Providing htmlwidgets bindings to the recogito <https://github.com/recogito/recogito-js> and annotorious <https://github.com/recogito/annotorious> libraries.

r-rcppsimdjson 0.1.15
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/eddelbuettel/rcppsimdjson/
Licenses: GPL 2+
Build system: r
Synopsis: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description:

The JSON format is ubiquitous for data interchange, and the simdjson library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel SIMD instruction manages to parse these files as faster than disk speed. See the <doi:10.48550/arXiv.1902.08318> paper for more details about simdjson'. This package parses JSON from string, file, or remote URLs under a variety of settings.

r-re 0.1.0
Propagated dependencies: r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://pythonicr.github.io/re/
Licenses: Expat
Build system: r
Synopsis: 'Python' Style Regular Expression Functions
Description:

This package provides a comprehensive set of regular expression functions based on those found in Python without relying on reticulate'. It provides functions that intend to (1) make it easier for users familiar with Python to work with regular expressions, (2) reduce the complexity often associated with regular expressions code, (3) and enable users to write more readable and maintainable code that relies on regular expression-based pattern matching.

r-ria 1.7.2
Propagated dependencies: r-oro-nifti@0.11.4 r-oro-dicom@0.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://pubmed.ncbi.nlm.nih.gov/29233836/
Licenses: AGPL 3
Build system: r
Synopsis: Radiomics Image Analysis Toolbox for Medial Images
Description:

Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI, nrrd and npy (numpy array) file formats. RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and geometry-based statistics. Almost all calculations are done using vectorized formulas to optimize run speeds. Calculation of several thousands of parameters only takes minutes on a single core of a conventional PC. Detailed methodology has been published: Kolossvary et al. Circ: Cardiovascular Imaging. 2017;10(12):e006843 <doi: 10.1161/CIRCIMAGING.117.006843>.

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

The minimum covariance determinant estimator is used to perform robust quadratic discriminant analysis, including cross-validation. References: 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>.

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