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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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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-rmalschains 0.2-11
Propagated dependencies: 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=Rmalschains
Licenses: GPL 3
Build system: r
Synopsis: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains)
Description:

An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains), as proposed in Molina et al. (2010) <doi:10.1162/evco.2010.18.1.18102> and Molina et al. (2011) <doi:10.1007/s00500-010-0647-2>. Rmalschains is further discussed in Bergmeir et al. (2016) <doi:10.18637/jss.v075.i04>. Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.

r-roi-plugin-highs 1.0-4
Propagated dependencies: r-roi@1.0-1 r-highs@1.12.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ROI.plugin.highs
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: 'HiGHS' Plugin for the 'R' Optimization Infrastructure
Description:

Enhances the R Optimization Infrastructure ('ROI') package with the quadratic solver HiGHS'. More information about HiGHS can be found at <https://highs.dev>.

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-rrefine 2.1.0
Propagated dependencies: r-readr@2.1.6 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: https://github.com/vpnagraj/rrefine
Licenses: GPL 3
Build system: r
Synopsis: r Client for OpenRefine API
Description:

OpenRefine (formerly Google Refine') is a popular, open source data cleaning software. This package enables users to programmatically trigger data transfer between R and OpenRefine'. Available functionality includes project import, export and deletion.

r-rcsdp 0.1.57.6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/coin-or/Csdp/
Licenses: FSDG-compatible
Build system: r
Synopsis: R Interface to the CSDP Semidefinite Programming Library
Description:

R interface to the CSDP semidefinite programming library. Installs version 6.1.1 of CSDP from the COIN-OR website if required. An existing installation of CSDP may be used by passing the proper configure arguments to the installation command. See the INSTALL file for further details.

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-repplabshiny 0.4.2
Propagated dependencies: r-shiny@1.11.1 r-repplab@0.9.6 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=REPPlabShiny
Licenses: GPL 2+
Build system: r
Synopsis: 'REPPlab' via a Shiny Application
Description:

This package performs exploratory projection pursuit via REPPlab (Daniel Fischer, Alain Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019) <doi:10.1080/03610918.2019.1626880>) using a Shiny app.

r-rgmm 2.1.0
Propagated dependencies: r-rspectra@0.16-2 r-reshape2@1.4.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mclust@6.1.2 r-laplacesdemon@16.1.6 r-ggplot2@4.0.1 r-genieclust@1.2.0 r-foreach@1.5.2 r-doparallel@1.0.17 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RGMM
Licenses: GPL 2+
Build system: r
Synopsis: Robust Mixture Model
Description:

Algorithms for estimating robustly the parameters of a Gaussian, Student, or Laplace Mixture Model.

r-reproj 0.7.0
Dependencies: proj@9.3.1
Propagated dependencies: r-proj4@1.0-15 r-proj@0.6.0 r-crsmeta@0.3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/hypertidy/reproj
Licenses: GPL 3
Build system: r
Synopsis: Coordinate System Transformations for Generic Map Data
Description:

Transform coordinates from a specified source to a specified target map projection. This uses the PROJ library directly, by wrapping the PROJ package which leverages libproj', otherwise the proj4 package. The reproj() function is generic, methods may be added to remove the need for an explicit source definition. If proj4 is in use reproj() handles the requirement for conversion of angular units where necessary. This is for use primarily to transform generic data formats and direct leverage of the underlying PROJ library. (There are transformations that aren't possible with PROJ and that are provided by the GDAL library, a limitation which users of this package should be aware of.) The PROJ library is available at <https://proj.org/>.

r-rockx 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr@1.4.7 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=rockx
Licenses: Expat
Build system: r
Synopsis: Easily Import Data from Your 'ODK-X Sync Endpoint'
Description:

This package provides helper functions for authenticating and retrieving data from your ODK-X Sync Endpoint'. This is an early release intended for testing and feedback.

r-rust 1.4.4
Propagated dependencies: 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://paulnorthrop.github.io/rust/
Licenses: GPL 2+
Build system: r
Synopsis: Ratio-of-Uniforms Simulation with Transformation
Description:

Uses the generalized ratio-of-uniforms (RU) method to simulate from univariate and (low-dimensional) multivariate continuous distributions. The user specifies the log-density, up to an additive constant. The RU algorithm is applied after relocation of mode of the density to zero, and the user can choose a tuning parameter r. For details see Wakefield, Gelfand and Smith (1991) <DOI:10.1007/BF01889987>, Efficient generation of random variates via the ratio-of-uniforms method, Statistics and Computing (1991) 1, 129-133. A Box-Cox variable transformation can be used to make the input density suitable for the RU method and to improve efficiency. In the multivariate case rotation of axes can also be used to improve efficiency. From version 1.2.0 the Rcpp package <https://cran.r-project.org/package=Rcpp> can be used to improve efficiency.

r-rgan 0.1.1
Propagated dependencies: r-viridis@0.6.5 r-torch@0.16.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mneunhoe/RGAN
Licenses: Expat
Build system: r
Synopsis: Generative Adversarial Nets (GAN) in R
Description:

An easy way to get started with Generative Adversarial Nets (GAN) in R. The GAN algorithm was initially described by Goodfellow et al. 2014 <https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf>. A GAN can be used to learn the joint distribution of complex data by comparison. A GAN consists of two neural networks a Generator and a Discriminator, where the two neural networks play an adversarial minimax game. Built-in GAN models make the training of GANs in R possible in one line and make it easy to experiment with different design choices (e.g. different network architectures, value functions, optimizers). The built-in GAN models work with tabular data (e.g. to produce synthetic data) and image data. Methods to post-process the output of GAN models to enhance the quality of samples are available.

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-readmit 0.0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readxl@1.4.5 r-readr@2.1.6 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://centralstatz.github.io/readmit/
Licenses: Expat
Build system: r
Synopsis: Tools for Working with Hospital Readmissions Data
Description:

This package contains tools for working with and analyzing hospital readmissions data. The package provides utilities for components of the Hospital Readmissions Reduction Program (HRRP), including program timeline functions, Hospital-Specific Report (HSR) helpers, and general importing tools for the Provider Data Catalog (PDC).

r-rsmatrix 0.2.9
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://marberts.github.io/rsmatrix/
Licenses: Expat
Build system: r
Synopsis: Matrices for Repeat-Sales Price Indexes
Description:

Calculate the matrices in Shiller (1991, <doi:10.1016/S1051-1377(05)80028-2>) that serve as the foundation for many repeat-sales price indexes.

r-rtist 1.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rtist
Licenses: Expat
Build system: r
Synopsis: Color Palette Generator
Description:

Color palettes from famous artists and paintings.

r-rada 1.1.9
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-reshape2@1.4.5 r-openxlsx@4.2.8.1 r-matrixstats@1.5.0 r-lmertest@3.1-3 r-lme4@1.1-37 r-knitr@1.50 r-hmisc@5.2-4 r-gridextra@2.3 r-ggplot2@4.0.1 r-forestplot@3.1.7 r-e1071@1.7-16 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rADA
Licenses: GPL 3
Build system: r
Synopsis: Statistical Analysis and Cut-Point Determination of Immunoassays
Description:

Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.

r-robustt2 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rrcov@1.7-7 r-matrix@1.7-4 r-mass@7.3-65 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/SergioDanielFG/robustT2
Licenses: Expat
Build system: r
Synopsis: Robust Hotelling-Type T² Control Chart Based on the Dual STATIS Approach
Description:

This package implements a robust multivariate control-chart methodology for batch-based industrial processes with multiple correlated variables using the Dual STATIS (Structuration des Tableaux A Trois Indices de la Statistique) framework. A robust compromise covariance matrix is constructed from Phase I batches with the Minimum Covariance Determinant (MCD) estimator, and a Hotelling-type T² statistic is applied for anomaly detection in Phase II. The package includes functions to simulate clean and contaminated batches, to compute both robust and classical Hotelling T² control charts, to visualize results via robust biplots, and to launch an interactive shiny dashboard. An internal dataset (pharma_data) is provided for reproducibility. See Lavit, Escoufier, Sabatier and Traissac (1994) <doi:10.1016/0167-9473(94)90134-1> for the original STATIS methodology, and Rousseeuw and Van Driessen (1999) <doi:10.1080/00401706.1999.10485670> for the MCD estimator.

r-rdml 1.1
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-rlist@0.4.6.2 r-readxl@1.4.5 r-r6@2.6.1 r-piper@0.6.1.3 r-lubridate@1.9.4 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/PCRuniversum/RDML
Licenses: Expat
Build system: r
Synopsis: Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format Files
Description:

Imports real-time thermo cycler (qPCR) data from Real-time PCR Data Markup Language (RDML) and transforms to the appropriate formats of the qpcR and chipPCR packages, as described in Rodiger et al. (2017) <doi:10.1093/bioinformatics/btx528>. Contains a dendrogram visualization for the structure of RDML object and GUI for RDML editing.

r-round 0.21-0.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://gitlab.com/mmaechler/round/
Licenses: AGPL 3+ FSDG-compatible
Build system: r
Synopsis: Rounding to Decimal Digits
Description:

Decimal rounding is non-trivial in binary arithmetic. ISO standard round to even is more rare than typically assumed as most decimal fractions are not exactly representable in binary. Our roundX() versions explore differences between current and potential future versions of round() in R. Further, provides (some partly related) C99 math lib functions not in base R.

r-restimizeapi 1.0.0
Propagated dependencies: r-rjsonio@2.0.0 r-rcurl@1.98-1.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.r-project.org
Licenses: LGPL 3
Build system: r
Synopsis: Functions for Working with the 'www.estimize.com' Web Services
Description:

This package provides the user with functions to develop their trading strategy, uncover actionable trading ideas, and monitor consensus shifts with crowdsourced earnings and economic estimate data directly from <www.estimize.com>. Further information regarding the web services this package invokes can be found at <www.estimize.com/api>.

r-r2dii-data 0.6.1
Propagated dependencies: r-lifecycle@1.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rmi-pacta.github.io/r2dii.data/
Licenses: CC0
Build system: r
Synopsis: Datasets to Measure the Alignment of Corporate Loan Books with Climate Goals
Description:

These datasets support the implementation in R of the software PACTA (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between corporate lending portfolios and climate scenarios (<https://www.transitionmonitor.com/>). Financial institutions use PACTA to study how their capital allocation decisions align with climate change mitigation goals. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of PACTA in R.

r-rpaleoclim 1.1.0
Propagated dependencies: r-terra@1.8-86 r-rlang@1.1.6 r-httr@1.4.7 r-fs@1.6.6 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rpaleoclim.joeroe.io
Licenses: Expat
Build system: r
Synopsis: Download Paleoclimate Data from 'PaleoClim'
Description:

PaleoClim <http://www.paleoclim.org> (Brown et al. 2019, <doi:10.1038/sdata.2018.254>) is a set of free, high resolution paleoclimate surfaces covering the whole globe. It includes data on surface temperature, precipitation and the standard bioclimatic variables commonly used in ecological modelling, derived from the HadCM3 general circulation model and downscaled to a spatial resolution of up to 2.5 minutes. Simulations are available for key time periods from the Late Holocene to mid-Pliocene. Data on current and Last Glacial Maximum climate is derived from CHELSA (Karger et al. 2017, <doi:10.1038/sdata.2017.122>) and reprocessed by PaleoClim to match their format; it is available at up to 30 seconds resolution. This package provides a simple interface for downloading PaleoClim data in R, with support for caching and filtering retrieved data by period, resolution, and geographic extent.

r-resilience 2025.1.1
Propagated dependencies: r-nptest@1.2 r-mice@3.18.0 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=resilience
Licenses: GPL 2+
Build system: r
Synopsis: Predictors of Resilience to a Stressor in a Single-Arm Study
Description:

Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2024), Biostatistics 25(4): 1094-1111.

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