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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-resindex 0.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ResIndex
Licenses: LGPL 2.0
Build system: r
Synopsis: Generate Simple yet Effective Metric of Feature Importance for Classification Problems
Description:

An intuitive and explainable metric of Feature Importance for Classification Problems. Resolution Index measures the extent to which a Feature clusters different classes when data is sorted on it. User provides a DataFrame, column name of the Class, sample size and number of iterations used for calculation. Resolution Index for each Feature is returned, which can be effectively used to rank Features and reduce Dimensionality of Training data. For more details on Feature Selection see Theng and Bhoyar (2023) <doi:10.1007/s10115-023-02010-5>.

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-rccola 1.0.2
Propagated dependencies: r-yaml@2.3.10 r-redcapapi@2.11.5 r-keyring@1.4.1 r-getpass@0.2-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/spgarbet/rccola
Licenses: GPL 3
Build system: r
Synopsis: Safely Manage API Keys and Load Data from a REDCap or Other Source
Description:

The handling of an API key (misnomer for password) for protected data can be difficult. This package provides secure convenience functions for entering / handling API keys and pulling data directly into memory. By default it will load from REDCap instances, but other sources are injectable via inversion of control.

r-rato 0.1.0
Propagated dependencies: r-igraph@2.2.1 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rato
Licenses: GPL 3
Build system: r
Synopsis: Resilience Analysis Toolkit (RATO)
Description:

Collection of tools for the analysis of the resilience of dynamic networks. Created as a classroom project.

r-rangemapper 2.0.3
Propagated dependencies: r-sf@1.0-23 r-rsqlite@2.4.4 r-raster@3.6-32 r-progressr@0.18.0 r-magrittr@2.0.4 r-glue@1.8.0 r-future-apply@1.20.0 r-future@1.68.0 r-exactextractr@0.10.0 r-dbi@1.2.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mpio-be/rangeMapper
Licenses: GPL 2+
Build system: r
Synopsis: Platform for the Study of Macro-Ecology of Life History Traits
Description:

This package provides tools for generation of (life-history) traits and diversity maps on hexagonal or square grids. Valcu et al.(2012) <doi:10.1111/j.1466-8238.2011.00739.x>.

r-rsqlite-toolkit 0.1.1
Propagated dependencies: r-rsqlite@2.4.4 r-openxlsx2@1.25 r-dbi@1.2.3 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/fab-algo/RSQLite.toolkit
Licenses: GPL 3+
Build system: r
Synopsis: Load Data in SQLite from Tabular Files
Description:

This package provides a lightweight wrapper around the RSQLite package for streamlined loading of data from tabular files (i,e. text delimited files like Comma Separated Values and Tab Separated Values, Microsoft Excel, and Arrow Inter-process Communication files) in SQLite databases. Includes helper functions for inspecting the structure of the input files, and some functions to simplify activities on the SQLite tables.

r-rathena 2.6.3
Propagated dependencies: r-uuid@1.2-1 r-reticulate@1.44.1 r-dbi@1.2.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://dyfanjones.github.io/RAthena/
Licenses: Expat
Build system: r
Synopsis: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description:

Designed to be compatible with the R package DBI (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this Python Boto3 Software Development Kit ('SDK') <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.

r-rcppxsimd 7.1.6-2
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=RcppXsimd
Licenses: Modified BSD
Build system: r
Synopsis: Xsimd C++ Header-Only Library Files
Description:

This header-only library provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd <https://github.com/xtensor-stack/xsimd> for R packages using CRAN.

r-roi-plugin-quadprog 1.0-1
Propagated dependencies: r-slam@0.1-55 r-roi@1.0-1 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://roi.r-forge.r-project.org/
Licenses: GPL 3
Build system: r
Synopsis: 'quadprog' Plug-in for the 'R' Optimization Infrastructure
Description:

Enhances the R Optimization Infrastructure ('ROI') package by registering the quadprog solver. It allows for solving quadratic programming (QP) problems.

r-rneighborgwas 1.2.5
Propagated dependencies: r-rcppparallel@5.1.11-1 r-matrix@1.7-4 r-gaston@1.6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rNeighborGWAS
Licenses: GPL 3
Build system: r
Synopsis: Testing Neighbor Effects in Marker-Based Regressions
Description:

To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1038/s41437-020-00401-w>.

r-rangecondprob 0.4.1
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/kimmanlui/calc_cond_prob
Licenses: GPL 3
Build system: r
Synopsis: Tools for Conditional Probability
Description:

Streamline the calculation of conditional probabilities for various numeric ranges in an R DataFrame. It automates the need to convert numerical data into categorical data for conditional probability calculation, making it ideal for quick and preliminary data analysis.

r-riskportfolios 2.1.7
Propagated dependencies: r-quadprog@1.5-8 r-nloptr@2.2.1 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ArdiaD/RiskPortfolios
Licenses: GPL 2+
Build system: r
Synopsis: Computation of Risk-Based Portfolios
Description:

Collection of functions designed to compute risk-based portfolios as described in Ardia et al. (2017) <doi:10.1007/s10479-017-2474-7> and Ardia et al. (2017) <doi:10.21105/joss.00171>.

r-rdnb 0.1-5
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-httr@1.4.7 r-brew@1.0-10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/chgrl/rdnb
Licenses: Expat
Build system: r
Synopsis: R Interface to the 'Deutsche Nationalbibliothek (German National Library) API'
Description:

This package provides a wrapper for the Deutsche Nationalbibliothek (German National Library) API', available at <https://www.dnb.de/EN/Home/home_node.html>. The German National Library is the German central archival library, collecting, archiving, bibliographically classifying all German and German-language publications, foreign publications about Germany, translations of German works, and the works of German-speaking emigrants published abroad between 1933 and 1945.

r-raptr 1.0.1
Propagated dependencies: r-withr@3.0.2 r-terra@1.8-86 r-sp@2.2-0 r-shape@1.4.6.1 r-sf@1.0-23 r-scales@1.4.0 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3 r-pbsmapping@2.74.1 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-ks@1.15.1 r-hypervolume@3.1.6 r-ggplot2@4.0.1 r-boot@1.3-32 r-bh@1.87.0-1 r-assertthat@0.2.1 r-adehabitathr@0.4.22
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://jeffrey-hanson.com/raptr/
Licenses: GPL 3
Build system: r
Synopsis: Representative and Adequate Prioritization Toolkit in R
Description:

Biodiversity is in crisis. The overarching aim of conservation is to preserve biodiversity patterns and processes. To this end, protected areas are established to buffer species and preserve biodiversity processes. But resources are limited and so protected areas must be cost-effective. This package contains tools to generate plans for protected areas (prioritizations), using spatially explicit targets for biodiversity patterns and processes. To obtain solutions in a feasible amount of time, this package uses the commercial Gurobi software (obtained from <https://www.gurobi.com/>). For more information on using this package, see Hanson et al. (2018) <doi:10.1111/2041-210X.12862>.

r-rsm 2.10.6
Propagated dependencies: r-estimability@1.5.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/rvlenth/rsm
Licenses: GPL 2+
Build system: r
Synopsis: Response-Surface Analysis
Description:

This package provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis. A good reference on these methods is Chapter 10 of Wu, C-F J and Hamada, M (2009) "Experiments: Planning, Analysis, and Parameter Design Optimization" ISBN 978-0-471-69946-0. An early version of the package is documented in Journal of Statistical Software <doi:10.18637/jss.v032.i07>.

r-radar 1.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=radar
Licenses: GPL 3+
Build system: r
Synopsis: Fundamental Formulas for Radar
Description:

Fundamental formulas for Radar, for attenuation, range, velocity, effectiveness, power, scatter, doppler, geometry, radar equations, etc. Based on Nick Guy's Python package PyRadarMet.

r-rwnn 0.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-randtoolbox@2.0.5 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RWNN
Licenses: Expat
Build system: r
Synopsis: Random Weight Neural Networks
Description:

Creation, estimation, and prediction of random weight neural networks (RWNN), Schmidt et al. (1992) <doi:10.1109/ICPR.1992.201708>, including popular variants like extreme learning machines, Huang et al. (2006) <doi:10.1016/j.neucom.2005.12.126>, sparse RWNN, Zhang et al. (2019) <doi:10.1016/j.neunet.2019.01.007>, and deep RWNN, Henrà quez et al. (2018) <doi:10.1109/IJCNN.2018.8489703>. It further allows for the creation of ensemble RWNNs like bagging RWNN, Sui et al. (2021) <doi:10.1109/ECCE47101.2021.9595113>, boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et al. (2021) <doi:10.1016/j.patcog.2021.107978>.

r-ravages 1.2.0
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mlogit@1.1-3 r-gaston@1.6 r-formula@1.2-5 r-dfidx@0.2-0 r-data-table@1.17.8 r-curl@7.0.0 r-bh@1.87.0-1 r-bedr@1.1.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Ravages
Licenses: GPL 3
Build system: r
Synopsis: Rare Variant Analysis and Genetic Simulations
Description:

Rare variant association tests: burden tests (Bocher et al. 2019 <doi:10.1002/gepi.22210>) and the Sequence Kernel Association Test (Bocher et al. 2021 <doi:10.1038/s41431-020-00792-8>) in the whole genome using the RAVA-FIRST approach (Bocher et al. 2022 <doi:10.1371/journal.pgen.1009923>). Ravages also enables to perform genetic simulations (Bocher et al. 2023 <doi:10.1002/gepi.22529>).

r-rwofost 0.8-7
Propagated dependencies: r-rcpp@1.1.0 r-meteor@0.4-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://CRAN.R-project.org/package=Rwofost
Licenses: GPL 3+
Build system: r
Synopsis: WOFOST Crop Growth Simulation Model
Description:

An implementation of the WOFOST ("World Food Studies") crop growth model. WOFOST is a dynamic simulation model that uses daily weather data, and crop, soil and management parameters to simulate crop growth and development. See De Wit et al. (2019) <doi:10.1016/j.agsy.2018.06.018> for a recent review of the history and use of the model.

r-rprobsup 3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RProbSup
Licenses: Expat
Build system: r
Synopsis: Calculates Probability of Superiority
Description:

The A() function calculates the A statistic, a nonparametric measure of effect size for two independent groups thatâ s also known as the probability of superiority (Ruscio, 2008), along with its standard error and a confidence interval constructed using bootstrap methods (Ruscio & Mullen, 2012). Optional arguments can be specified to calculate variants of the A statistic developed for other research designs (e.g., related samples, more than two independent groups or related samples; Ruscio & Gera, 2013). <DOI: 10.1037/1082-989X.13.1.19>. <DOI: 10.1080/00273171.2012.658329>. <DOI: 10.1080/00273171.2012.738184>.

r-rpsftm 1.2.9
Propagated dependencies: r-survival@3.8-3 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=rpsftm
Licenses: GPL 2
Build system: r
Synopsis: Rank Preserving Structural Failure Time Models
Description:

This package implements methods described by the paper Robins and Tsiatis (1991) <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.

r-rgooglefit 0.4.0
Propagated dependencies: r-rcurl@1.98-1.17 r-jsonlite@2.0.0 r-httr@1.4.7 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RGoogleFit
Licenses: Expat
Build system: r
Synopsis: R Interface to Google Fit API
Description:

This package provides interface to Google Fit REST API v1 (see <https://developers.google.com/fit/rest/v1/reference/>).

r-rchronomodel 0.4
Propagated dependencies: r-hdrcde@3.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.chronomodel.fr
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Post-Processing of the Markov Chain Simulated by ChronoModel or Oxcal
Description:

This package provides a list of functions for the statistical analysis and the post-processing of the Markov Chains simulated by ChronoModel (see <http://www.chronomodel.fr> for more information). ChronoModel is a friendly software to construct a chronological model in a Bayesian framework. Its output is a sampled Markov chain from the posterior distribution of dates component the chronology. The functions can also be applied to the analyse of mcmc output generated by Oxcal software.

r-rigr 1.0.8
Propagated dependencies: r-survival@3.8-3 r-sandwich@3.1-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://statdivlab.github.io/rigr/
Licenses: Expat
Build system: r
Synopsis: Regression, Inference, and General Data Analysis Tools in R
Description:

This package provides a set of tools to streamline data analysis. Learning both R and introductory statistics at the same time can be challenging, and so we created rigr to facilitate common data analysis tasks and enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. rigr output includes key information while omitting unnecessary details that can be confusing to beginners. Heteroscedasticity-robust ("sandwich") standard errors are returned by default, and multiple partial F-tests and tests for contrasts are easy to specify. A single regression function can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.

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