_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-forestsas 2.0.4
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-data@3.1-9 r-spatstat@3.4-1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=forestSAS
Licenses: GPL 2
Build system: r
Synopsis: Forest Spatial Structure Analysis Systems
Description:

Recent years have seen significant interest in neighborhood-based structural parameters that effectively represent the spatial characteristics of tree populations and forest communities, and possess strong applicability for guiding forestry practices. This package provides valuable information that enhances our understanding and analysis of the fine-scale spatial structure of tree populations and forest stands. Reference: Yan L, Tan W, Chai Z, et al (2019) <doi:10.13323/j.cnki.j.fafu(nat.sci.).2019.03.007>.

r-funcmap 1.0.10
Propagated dependencies: r-mvbutils@2.8.232
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FuncMap
Licenses: GPL 3
Build system: r
Synopsis: Hive Plots of R Package Function Calls
Description:

Analyzes the function calls in an R package and creates a hive plot of the calls, dividing them among functions that only make outgoing calls (sources), functions that have only incoming calls (sinks), and those that have both incoming calls and make outgoing calls (managers). Function calls can be mapped by their absolute numbers, their normalized absolute numbers, or their rank. FuncMap should be useful for comparing packages at a high level for their overall design. Plus, it's just plain fun. The hive plot concept was developed by Martin Krzywinski (www.hiveplot.com) and inspired this package. Note: this package is maintained for historical reasons. HiveR is a full package for creating hive plots.

r-fedz1 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/shaf1430/fedz1
Licenses: Expat
Build system: r
Synopsis: An Easier Access to Financial Accounts of the United States(Z.1)
Description:

Flow of funds are financial accounts that are provided by Federal Reserve quarterly. The package contains all datasets <https://www.federalreserve.gov/datadownload/Choose.aspx?rel=z1>, tables <https://www.federalreserve.gov/apps/fof/FOFTables.aspx> and descriptions <https://www.federalreserve.gov/apps/fof/Guide/z1_tables_description.pdf> with functions to understand series <https://www.federalreserve.gov/apps/fof/SeriesStructure.aspx> and explore them.

r-ford 0.1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/PouyaRoudaki/FORD
Licenses: GPL 3
Build system: r
Synopsis: Feature Ordering by Integrated R Square Dependence
Description:

Feature Ordering by Integrated R square Dependence (FORD) is a variable selection algorithm based on the new measure of dependence: Integrated R2 Dependence Coefficient (IRDC). For more information, see the paper: Azadkia and Roudaki (2025),"A New Measure Of Dependence: Integrated R2" <doi:10.48550/arXiv.2505.18146>.

r-functiondepends 0.2.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=functiondepends
Licenses: Expat
Build system: r
Synopsis: Find Functions and their Dependencies
Description:

Find functions in an unstructured directory and explore their dependencies. Sourcing of R source files is performed without side-effects: from R scripts that have executable code and function definitions only functions are sourced.

r-fect 2.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://yiqingxu.org/packages/fect/
Licenses: Expat
Build system: r
Synopsis: Fixed Effects Counterfactual Estimators
Description:

This package provides tools for estimating causal effects in panel data using counterfactual methods, as well as other modern DID estimators. It is designed for causal panel analysis with binary treatments under the parallel trends assumption. The package supports scenarios where treatments can switch on and off and allows for limited carryover effects. It includes several imputation estimators, such as Gsynth (Xu 2017), linear factor models, and the matrix completion method. Detailed methodology is described in Liu, Wang, and Xu (2024) <doi:10.48550/arXiv.2107.00856> and Chiu et al. (2025) <doi:10.48550/arXiv.2309.15983>. Optionally integrates with the "HonestDiDFEct" package for sensitivity analyses compatible with imputation estimators. "HonestDiDFEct" is not on CRAN but can be obtained from <https://github.com/lzy318/HonestDiDFEct>.

r-fctutils 0.0.7
Propagated dependencies: r-stringr@1.6.0 r-stringdist@0.9.15
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fctutils
Licenses: GPL 3
Build system: r
Synopsis: Advanced Factor Manipulation Utilities
Description:

This package provides a collection of utility functions for manipulating and analyzing factor vectors in R. It offers tools for filtering, splitting, combining, and reordering factor levels based on various criteria. The package is designed to simplify common tasks in categorical data analysis, making it easier to work with factors in a flexible and efficient manner.

r-fractional 0.1.3
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fractional
Licenses: GPL 2+
Build system: r
Synopsis: Vulgar Fractions in R
Description:

The main function of this package allows numerical vector objects to be displayed with their values in vulgar fractional form. This is convenient if patterns can then be more easily detected. In some cases replacing the components of a numeric vector by a rational approximation can also be expected to remove some component of round-off error. The main functions form a re-implementation of the functions fractions and rational of the MASS package, but using a radically improved programming strategy.

r-foresight 2.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=foreSIGHT
Licenses: GPL 3
Build system: r
Synopsis: Systems Insights from Generation of Hydroclimatic Timeseries
Description:

This package provides a tool to create hydroclimate scenarios, stress test systems and visualize system performance in scenario-neutral climate change impact assessments. Scenario-neutral approaches stress-test the performance of a modelled system by applying a wide range of plausible hydroclimate conditions (see Brown & Wilby (2012) <doi:10.1029/2012EO410001> and Prudhomme et al. (2010) <doi:10.1016/j.jhydrol.2010.06.043>). These approaches allow the identification of hydroclimatic variables that affect the vulnerability of a system to hydroclimate variation and change. This tool enables the generation of perturbed time series using a range of approaches including simple scaling of observed time series (e.g. Culley et al. (2016) <doi:10.1002/2015WR018253>) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) <doi:10.1016/j.jhydrol.2016.03.025>). It incorporates Richardson-type weather generator model configurations documented in Richardson (1981) <doi:10.1029/WR017i001p00182>, Richardson and Wright (1984), as well as latent variable type model configurations documented in Bennett et al. (2018) <doi:10.1016/j.jhydrol.2016.12.043>, Rasmussen (2013) <doi:10.1002/wrcr.20164>, Bennett et al. (2019) <doi:10.5194/hess-23-4783-2019> to generate hydroclimate variables on a daily basis (e.g. precipitation, temperature, potential evapotranspiration) and allows a variety of different hydroclimate variable properties, herein called attributes, to be perturbed. Options are included for the easy integration of existing system models both internally in R and externally for seamless stress-testing'. A suite of visualization options for the results of a scenario-neutral analysis (e.g. plotting performance spaces and overlaying climate projection information) are also included. Version 1.0 of this package is described in Bennett et al. (2021) <doi:10.1016/j.envsoft.2021.104999>. As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.

r-funcharts 1.8.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/unina-sfere/funcharts
Licenses: GPL 3
Build system: r
Synopsis: Functional Control Charts
Description:

This package provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507>, Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>, Capezza et al. (2024) <doi:10.1080/00224065.2024.2383674>, Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>, Centofanti et al. (2025) <doi:10.1080/00224065.2024.2430978>, Capezza et al. (2025) <doi:10.48550/arXiv.2410.20138>. The package is thoroughly illustrated in the paper of Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.

r-fada 1.3.5
Propagated dependencies: r-sparselda@0.1-9 r-sda@1.3.9 r-mnormt@2.1.1 r-matrixstats@1.5.0 r-mass@7.3-65 r-glmnet@4.1-10 r-elasticnet@1.3 r-crossval@1.0.5 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FADA
Licenses: GPL 2+
Build system: r
Synopsis: Variable Selection for Supervised Classification in High Dimension
Description:

The functions provided in the FADA (Factor Adjusted Discriminant Analysis) package aim at performing supervised classification of high-dimensional and correlated profiles. The procedure combines a decorrelation step based on a factor modeling of the dependence among covariates and a classification method. The available methods are Lasso regularized logistic model (see Friedman et al. (2010)), sparse linear discriminant analysis (see Clemmensen et al. (2011)), shrinkage linear and diagonal discriminant analysis (see M. Ahdesmaki et al. (2010)). More methods of classification can be used on the decorrelated data provided by the package FADA.

r-faasr 1.4.4
Propagated dependencies: r-uuid@1.2-1 r-sodium@1.4.0 r-paws-storage@0.9.0 r-paws-security-identity@0.9.0 r-paws-compute@0.9.0 r-paws-application-integration@0.9.0 r-jsonvalidate@1.5.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-cli@3.6.5 r-base64enc@0.1-3 r-askpass@1.2.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/FaaSr/FaaSr-package
Licenses: Expat
Build system: r
Synopsis: FaaS (Function as a Service) Package
Description:

Allows users to create and deploy the workflow with multiple functions in Function-as-a-Service (FaaS) cloud computing platforms. The FaaSr package makes it simpler for R developers to use FaaS platforms by providing the following functionality: 1) Parsing and validating a JSON-based payload compliant to FaaSr schema supporting multiple FaaS platforms 2) Invoking user functions written in R in a Docker container (derived from rocker), using a list generated from the parser as argument 3) Downloading/uploading of files from/to S3 buckets using simple primitives 4) Logging to files in S3 buckets 5) Triggering downstream actions supporting multiple FaaS platforms 6) Generating FaaS-specific API calls to simplify the registering of a user's workflow with a FaaS platform Supported FaaS platforms: Apache OpenWhisk <https://openwhisk.apache.org/> GitHub Actions <https://github.com/features/actions> Amazon Web Services (AWS) Lambda <https://aws.amazon.com/lambda/> Supported cloud data storage for persistent storage: Amazon Web Services (AWS) Simple Storage Service (S3) <https://aws.amazon.com/s3/>.

r-flickrapi 0.1.0.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FlickrAPI
Licenses: GPL 3+
Build system: r
Synopsis: Access to Flickr API
Description:

This package provides an interface to the Flickr API <https://www.flickr.com/services/api/> and allows R users to download data on Flickr.

r-func2vis 1.0-3
Propagated dependencies: r-randomcolor@1.1.0.1 r-igraph@2.2.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=func2vis
Licenses: GPL 3+
Build system: r
Synopsis: Clean and Visualize Over Expression Results from 'ConsensusPathDB'
Description:

This package provides functions to have visualization and clean-up of enriched gene ontologies (GO) terms, protein complexes and pathways (obtained from multiple databases) using ConsensusPathDB from gene set over-expression analysis. Performs clustering of pathway based on similarity of over-expressed gene sets and visualizations similar to Ingenuity Pathway Analysis (IPA) when up and down regulated genes are known. The methods are described in a paper currently submitted by Orecchioni et al, 2020 in Nanoscale.

r-flps 1.1.0
Propagated dependencies: r-rstan@2.32.7 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mirt@1.45.1 r-mass@7.3-65 r-glue@1.8.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://sooyongl.github.io/flps/
Licenses: GPL 3
Build system: r
Synopsis: Fully-Latent Principal Stratification
Description:

Simulation and analysis of Fully-Latent Principal Stratification (FLPS) with measurement models. Lee, Adam, Kang, & Whittaker (2023). <doi:10.1007/978-3-031-27781-8_25>. This package is supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305D210036.

r-flipscores 1.3.2
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flipscores
Licenses: GPL 2
Build system: r
Synopsis: Robust Score Testing in GLMs, by Sign-Flip Contributions
Description:

This package provides robust tests for testing in GLMs, by sign-flipping score contributions. The tests are robust against overdispersion, heteroscedasticity and, in some cases, ignored nuisance variables. See Hemerik, Goeman and Finos (2020) <doi:10.1111/rssb.12369>.

r-future-batchtools 0.21.0
Propagated dependencies: r-stringi@1.8.7 r-parallelly@1.45.1 r-future@1.68.0 r-checkmate@2.3.3 r-batchtools@0.9.18
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://future.batchtools.futureverse.org
Licenses: LGPL 2.1+
Build system: r
Synopsis: Future API for Parallel and Distributed Processing using 'batchtools'
Description:

Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the batchtools package. This allows you to process futures, as defined by the future package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as LSF', OpenLava', Slurm', SGE', and TORQUE / PBS', e.g. y <- future.apply::future_lapply(files, FUN = process)'.

r-funchir 0.3.0-1
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/MichaelChirico/funchir
Licenses: Expat
Build system: r
Synopsis: Convenience Functions by Michael Chirico
Description:

YACFP (Yet Another Convenience Function Package). get_age() is a fast & accurate tool for measuring fractional years between two dates. stale_package_check() tries to identify any library() calls to unused packages.

r-flipbookr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flipbookr
Licenses: Expat
Build system: r
Synopsis: Parses Code, Creates Partial Code Builds, Delivers Code Movie
Description:

Flipbooks present code step-by-step and side-by-side with its output. flipbookr helps creators build flipbooks efficiently because code pipelines are automatically parsed and prepped for presentation as flipbooks.

r-flexgam 0.7.2
Propagated dependencies: r-scam@1.2-21 r-mgcv@1.9-4 r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FlexGAM
Licenses: GPL 2
Build system: r
Synopsis: Generalized Additive Models with Flexible Response Functions
Description:

Standard generalized additive models assume a response function, which induces an assumption on the shape of the distribution of the response. However, miss-specifying the response function results in biased estimates. Therefore in Spiegel et al. (2017) <doi:10.1007/s11222-017-9799-6> we propose to estimate the response function jointly with the covariate effects. This package provides the underlying functions to estimate these generalized additive models with flexible response functions. The estimation is based on an iterative algorithm. In the outer loop the response function is estimated, while in the inner loop the covariate effects are determined. For the response function a strictly monotone P-spline is used while the covariate effects are estimated based on a modified Fisher-Scoring algorithm. Overall the estimation relies on the mgcv'-package.

r-fiberld 0.1-8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fiberLD
Licenses: GPL 2+
Build system: r
Synopsis: Fiber Length Determination
Description:

Routines for estimating tree fiber (tracheid) length distributions in the standing tree based on increment core samples. Two types of data can be used with the package, increment core data measured by means of an optical fiber analyzer (OFA), e.g. such as the Kajaani Fiber Lab, or measured by microscopy. Increment core data analyzed by OFAs consist of the cell lengths of both cut and uncut fibres (tracheids) and fines (such as ray parenchyma cells) without being able to identify which cells are cut or if they are fines or fibres. The microscopy measured data consist of the observed lengths of the uncut fibres in the increment core. A censored version of a mixture of the fine and fiber length distributions is proposed to fit the OFA data, under distributional assumptions (Svensson et al., 2006) <doi:10.1111/j.1467-9469.2006.00501.x>. The package offers two choices for the assumptions of the underlying density functions of the true fiber (fine) lenghts of those fibers (fines) that at least partially appear in the increment core, being the generalized gamma and the log normal densities.

r-fqadata 1.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/EcoModTeam/fqadata
Licenses: CC0
Build system: r
Synopsis: Contains Regional Floristic Quality Assessment Databases
Description:

This package contains regional Floristic Quality Assessment databases that have been approved or approved with reservations by the U.S. Army Corps of Engineers (USACE). Paired with the fqacalc R package, these data sets allow for Floristic Quality Assessment metrics to be calculated. For information on FQA see Spyreas (2019) <doi:10.1002/ecs2.2825>. Both packages were developed for the USACE by the U.S. Army Engineer Research and Development Center's Environmental Laboratory.

r-figir 0.1.7.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/philaris/figir
Licenses: Expat
Build system: r
Synopsis: Check Validity of FIGI, CUSIP, ISIN, SEDOL
Description:

With the functions in this package you can check the validity of the following financial instrument identifiers: FIGI (Financial Instrument Global Identifier <https://www.openfigi.com/about/figi>), CUSIP (Committee on Uniform Security Identification Procedures <https://www.cusip.com/identifiers.html#/CUSIP>), ISIN (International Securities Identification Number <https://www.cusip.com/identifiers.html#/ISIN>), SEDOL (Stock Exchange Daily Official List <https://www2.lseg.com/SEDOL-masterfile-service-tech-guide-v8.6>). You can also calculate the FIGI checksum of 11-character strings, which can be useful if you want to create your own FIGI identifiers.

r-fdanova 0.1.2
Propagated dependencies: r-mass@7.3-65 r-magic@1.6-1 r-ggplot2@4.0.1 r-foreach@1.5.2 r-fda@6.3.0 r-doparallel@1.0.17 r-doby@4.7.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fdANOVA
Licenses: LGPL 2.0 LGPL 3 GPL 2 GPL 3
Build system: r
Synopsis: Analysis of Variance for Univariate and Multivariate Functional Data
Description:

This package performs analysis of variance testing procedures for univariate and multivariate functional data (Cuesta-Albertos and Febrero-Bande (2010) <doi:10.1007/s11749-010-0185-3>, Gorecki and Smaga (2015) <doi:10.1007/s00180-015-0555-0>, Gorecki and Smaga (2017) <doi:10.1080/02664763.2016.1247791>, Zhang et al. (2018) <doi:10.1016/j.csda.2018.05.004>).

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Total results: 69112