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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-rcytogps 1.2.10
Propagated dependencies: r-rjson@0.2.23
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: Using Cytogenetics Data in R
Description:

Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then import the results into R for further analysis and graphing.

r-rsdc 1.1-2
Propagated dependencies: r-rdpack@2.6.4 r-mvtnorm@1.3-3 r-deoptim@2.2-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ArdiaD/RSDC
Licenses: GPL 3
Build system: r
Synopsis: Regime-Switching Dynamic Correlation Models
Description:

Estimation, forecasting, simulation, and portfolio construction for regime-switching models with exogenous variables as in Pelletier (2006) <doi:10.1016/j.jeconom.2005.01.013>.

r-respr 2.3.4
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-segmented@2.1-4 r-roll@1.2.0 r-purrr@1.2.0 r-marelac@2.1.11 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/januarharianto/respr
Licenses: GPL 3
Build system: r
Synopsis: Import, Process, Analyse, and Calculate Rates from Respirometry Data
Description:

This package provides a structural, reproducible workflow for the processing and analysis of respirometry data. It contains analytical functions and utilities for working with oxygen time-series to determine respiration or oxygen production rates, and to make it easier to report and share analyses. See Harianto et al. 2019 <doi:10.1111/2041-210X.13162>.

r-rmweather 0.2.63
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-strucchange@1.5-4 r-stringr@1.6.0 r-ranger@0.17.0 r-purrr@1.2.0 r-pdp@0.8.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 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://github.com/skgrange/rmweather
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data
Description:

An integrated set of tools to allow data users to conduct meteorological normalisation and counterfactual modelling for air quality data. The meteorological normalisation technique uses predictive random forest models to remove variation of pollutant concentrations so trends and interventions can be explored in a robust way. For examples, see Grange et al. (2018) <doi:10.5194/acp-18-6223-2018> and Grange and Carslaw (2019) <doi:10.1016/j.scitotenv.2018.10.344>. The random forest models can also be used for counterfactual or business as usual (BAU) modelling by using the models to predict, from the model's perspective, the future. For an example, see Grange et al. (2021) <doi:10.5194/acp-2020-1171>.

r-rtwobitlib 0.3.10
Dependencies: openssl@3.0.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/hpages/Rtwobitlib
Licenses: Expat
Build system: r
Synopsis: '2bit' 'C' Library
Description:

This package provides a trimmed down copy of the "kent-core source tree" turned into a C library for manipulation of .2bit files. See <https://genome.ucsc.edu/FAQ/FAQformat.html#format7> for a quick overview of the 2bit format. The "kent-core source tree" can be found here: <https://github.com/ucscGenomeBrowser/kent-core/>. Only the .c and .h files from the source tree that are related to manipulation of .2bit files were kept. Note that the package is primarily useful to developers of other R packages who wish to use the 2bit C library in their own C'/'C++ code.

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-rank 0.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/selkamand/rank
Licenses: Expat
Build system: r
Synopsis: Customisable Ranking of Numerical and Categorical Data
Description:

This package provides a flexible alternative to the built-in rank() function called smartrank(). Optionally rank categorical variables by frequency (instead of in alphabetical order), and control whether ranking is based on descending/ascending order. smartrank() is suitable for both numerical and categorical data.

r-rtmsecho 0.2.4
Propagated dependencies: r-rtms@0.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rtmsEcho
Licenses: GPL 3+
Build system: r
Synopsis: Extract and Analyze EchoMS Data from Sciex Wiff Files
Description:

Read raw and processed data from acoustic ejection mass spectrometry (AEMS) files produced by the Sciex EchoMS instrument. Includes functions to create interactive reader objects, extract raw intensity measurements, mass spectra, and fully-processed mass-transition intensity areas. Methods for data processing and analysis are described in Rimmer et al. (2025) <doi:10.1021/acs.analchem.5c03730>. Supports both multiple reaction monitoring (MRM) and full-scan (neutral loss and precursor ion) data formats.

r-redoc 2.0.0.75
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/meztez/redoc
Licenses: Expat ASL 2.0
Build system: r
Synopsis: Generates 'Redoc' Documentation from an 'OpenAPI' Specification
Description:

This package provides a collection of HTML', JavaScript', CSS and fonts assets that generate Redoc documentation from an OpenAPI Specification: <https://redocly.com/redoc/>.

r-roi-plugin-msbinlp 1.0-1
Propagated dependencies: r-slam@0.1-55 r-roi@1.0-1
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: 'Multi-Solution' Binary Linear Problem Plug-in for the 'R' Optimization Interface
Description:

Enhances the R Optimization Infrastructure ('ROI') package with the possibility to obtain multiple solutions for linear problems with binary variables. The main function is copied (with small modifications) from the relations package.

r-rmsdp 0.1.1
Propagated dependencies: 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=RMSDp
Licenses: GPL 3+
Build system: r
Synopsis: Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version)
Description:

This package provides a parallel function for multivariate outlier detection named modified Stahel-Donoho estimators is contained in this package. The function RMSDp() is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. This function is for higher dimensional datasets that cannot be handled by a single core function RMSD() included in RMSD package. See Wada and Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86> for the detail of the algorithm.

r-readmldata 0.9-7
Propagated dependencies: r-xml@3.99-0.20
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.cs.cas.cz/~savicky/readMLData
Licenses: GPL 3
Build system: r
Synopsis: Reading Machine Learning Benchmark Data Sets in Different Formats
Description:

This package provides functions for reading data sets in different formats for testing machine learning tools are provided. This allows to run a loop over several data sets in their original form, for example if they are downloaded from UCI Machine Learning Repository. The data are not part of the package and have to be downloaded separately.

r-rineq 0.3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/kdevkdev/rineq
Licenses: GPL 2+
Build system: r
Synopsis: Concentration Index and Decomposition for Health Inequalities
Description:

Relative, generalized, and Erreygers corrected concentration index; plot Lorenz curves; and decompose health inequalities into contributing factors. The package currently works with (generalized) linear models, survival models, complex survey models, and marginal effects probit models. originally forked by Brecht Devleesschauwer from the decomp package (no longer on CRAN), rineq is now maintained by Kaspar Walter Meili. Compared to the earlier rineq version on github by Brecht Devleesschauwer (<https://github.com/brechtdv/rineq>), the regression tree functionality has been removed. Improvements compared to earlier versions include improved plotting of decomposition and concentration, added functionality to calculate the concentration index with different methods, calculation of robust standard errors, and support for the decomposition analysis using marginal effects probit regression models. The development version is available at <https://github.com/kdevkdev/rineq>.

r-radlibs 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-lexicon@1.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=radlibs
Licenses: Modified BSD
Build system: r
Synopsis: Build Your Own Madlibs!
Description:

Make your phrase or sentence into something funny! Pass a string with the keywords in, and get out a bit of humor.

r-records 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Records
Licenses: GPL 2+
Build system: r
Synopsis: Record Values and Record Times
Description:

This package provides functions for generating k-record values and k-record times.

r-rifreg 1.1.0
Propagated dependencies: r-sandwich@3.1-1 r-pbapply@1.7-4 r-hmisc@5.2-4 r-ggplot2@4.0.1 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rifreg
Licenses: GPL 3+
Build system: r
Synopsis: Estimate Recentered Influence Function Regression
Description:

This package provides functions to compute recentered influence functions (RIF) of a distributional variable at the mean, quantiles, variance, gini or any custom functional of interest. The package allows to regress the RIF on any number of covariates. Generic print, plot and summary functions are also provided. Reference: Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2009) <doi:10.3982/ECTA6822>. "Unconditional Quantile Regressions.".

r-rbdat 1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://gitlab.com/vochr/rbdat
Licenses: FreeBSD
Build system: r
Synopsis: Implementation of BDAT Tree Taper Fortran Functions
Description:

Implementing the BDAT tree taper Fortran routines, which were developed for the German National Forest Inventory (NFI), to calculate diameters, volume, assortments, double bark thickness and biomass for different tree species based on tree characteristics and sorting information. See Kublin (2003) <doi:10.1046/j.1439-0337.2003.00183.x> for details.

r-rssop 1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RSSOP
Licenses: GPL 2
Build system: r
Synopsis: Simulation of Supply Reservoir Systems using Standard Operation Policy
Description:

Reservoir Systems Standard Operation Policy. A system for simulation of supply reservoirs. It proposes functionalities for plotting and evaluation of supply reservoirs systems.

r-rarms 1.0.0
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rarms
Licenses: GPL 2+
Build system: r
Synopsis: Access Data from the USDA ARMS Data API
Description:

Interface to easily access data via the United States Department of Agriculture (USDA)'s Agricultural Resource Management Survey (ARMS) Data API <https://www.ers.usda.gov/developer/data-apis/arms-data-api/>. The downloaded data can be saved for later off-line use. Also provide relevant information and metadata for each of the input variables needed for sending the data inquery.

r-rldcp 1.0.2
Propagated dependencies: r-xml@3.99-0.20
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://phedes.com/rLDCP
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Text Generation from Data
Description:

Linguistic Descriptions of Complex Phenomena (LDCP) is an architecture and methodology that allows us to model complex phenomena, interpreting input data, and generating automatic text reports customized to the user needs (see <doi:10.1016/j.ins.2016.11.002> and <doi:10.1007/s00500-016-2430-5>). The proposed package contains a set of methods that facilitates the development of LDCP systems. It main goal is increasing the visibility and practical use of this research line.

r-rjuliabugs 0.1.0
Propagated dependencies: r-posterior@1.6.1 r-juliacall@0.17.6 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://mateusmaiads.github.io/rjuliabugs/
Licenses: Expat
Build system: r
Synopsis: Interface to 'JuliaBUGS.jl' from R
Description:

This package provides an R interface to the JuliaBUGS.jl package (<https://github.com/TuringLang/JuliaBUGS.jl>) for Bayesian inference using the BUGS modeling language. Allows R users to run models in Julia and return results as familiar R objects. Visualization and posterior analysis are supported via the bayesplot and posterior packages.

r-redcaptidier 1.2.4
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-rlang@1.1.6 r-redcapr@1.6.0 r-readr@2.1.6 r-purrr@1.2.0 r-pillar@1.11.1 r-lubridate@1.9.4 r-lobstr@1.1.3 r-glue@1.8.0 r-formattable@0.2.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://chop-cgtinformatics.github.io/REDCapTidieR/
Licenses: Expat
Build system: r
Synopsis: Extract 'REDCap' Databases into Tidy 'Tibble's
Description:

Convert REDCap exports into tidy tables for easy handling of REDCap repeat instruments and event arms.

r-r2sundials 7.2.1-4
Propagated dependencies: r-rmumps@5.2.1-35 r-rcpparmadillo@15.2.2-1 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=r2sundials
Licenses: GPL 2+
Build system: r
Synopsis: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Description:

Wrapper for widely used SUNDIALS software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its CVODES solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made R friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in R and in C++ ('RcppArmadillo flavor). In case of C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case rmumps package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as R or C++ functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. SUNDIALS library was published in Hindmarsh et al. (2005) <doi:10.1145/1089014.1089020>.

r-rmonize 2.0.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-madshapr@2.0.0 r-haven@2.5.5 r-fs@1.6.6 r-fabr@2.1.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/maelstrom-research/Rmonize/
Licenses: GPL 3
Build system: r
Synopsis: Tools for Data Harmonization
Description:

Integrated tools to support rigorous and well documented data harmonization based on Maelstrom Research guidelines. The package includes functions to assess and prepare input elements, apply specified processing rules to generate harmonized datasets, validate data processing and identify processing errors, and document and summarize harmonized outputs. The harmonization process is defined and structured by two key user-generated documents: the DataSchema (specifying the list of harmonized variables to generate across datasets) and the Data Processing Elements (specifying the input elements and processing algorithms to generate harmonized variables in DataSchema formats). The package was developed to address key challenges of retrospective data harmonization in epidemiology (as described in Fortier I and al. (2017) <doi:10.1093/ije/dyw075>) but can be used for any data harmonization initiative.

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