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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-finna 0.1.1
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-readr@2.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://ropengov.github.io/finna/
Licenses: FreeBSD
Build system: r
Synopsis: Access the 'Finna' API
Description:

This package provides functions to access and retrieve metadata from the Finna API <https://api.finna.fi/>, which aggregates content from Finnish archives, libraries, and museums.

r-fitbitr 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-janitor@2.2.1 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/mrkaye97/fitbitr
Licenses: GPL 3+
Build system: r
Synopsis: Interface with the 'Fitbit' API
Description:

Many Fitbit users, and R-friendly Fitbit users especially, have found themselves curious about their Fitbit data. Fitbit aggregates a large amount of personal data, much of which is interesting for personal research and to satisfy curiosity, and is even potentially useful in medical settings. The goal of fitbitr is to make interfacing with the Fitbit API as streamlined as possible, to make it simple for R users of all backgrounds and comfort levels to analyze their Fitbit data and do whatever they want with it! Currently, fitbitr includes methods for pulling data on activity, sleep, and heart rate, but this list is likely to grow in the future as the package gains more traction and more requests for new methods to be implemented come in. You can find details on the Fitbit API at <https://dev.fitbit.com/build/reference/web-api/>.

r-flexrl 0.1.1
Propagated dependencies: r-testit@0.13 r-rcpp@1.1.0 r-progress@1.2.3 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/robachowyk/FlexRL
Licenses: GPL 3+
Build system: r
Synopsis: Flexible Model for Record Linkage
Description:

Implementation of the Stochastic Expectation Maximisation (StEM) approach to Record Linkage described in the paper by K. Robach, S. L. van der Pas, M. A. van de Wiel and M. H. Hof (2024, <doi:10.1093/jrsssc/qlaf016>); see citation("FlexRL") for details. This is a record linkage method, for finding the common set of records among 2 data sources based on Partially Identifying Variables (PIVs) available in both sources. It includes modelling of dynamic Partially Identifying Variables (e.g. postal code) that may evolve over time and registration errors (missing values and mistakes in the registration). Low memory footprint.

r-figma 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/pedropark99/figma
Licenses: Expat
Build system: r
Synopsis: Web Client/Wrapper to the 'Figma API'
Description:

An easy-to-use web client/wrapper for the Figma API <https://www.figma.com/developers/api>. It allows you to bring all data from a Figma file to your R session. This includes the data of all objects that you have drawn in this file, and their respective canvas/page metadata.

r-flightr 0.5.5
Propagated dependencies: r-truncnorm@1.0-9 r-suntools@1.1.0 r-sf@1.0-23 r-rcpparmadillo@15.2.2-1 r-nlme@3.1-168 r-mgcv@1.9-4 r-maps@3.4.3 r-ggplot2@4.0.1 r-ggmap@4.0.2 r-geosphere@1.5-20 r-fields@17.1 r-circular@0.5-2 r-circstats@0.2-7 r-bit@4.6.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://CRAN.R-project.org/package=FLightR
Licenses: GPL 3
Build system: r
Synopsis: Reconstruct Animal Paths from Solar Geolocation Loggers Data
Description:

Spatio-temporal locations of an animal are computed from annotated data with a hidden Markov model via particle filter algorithm. The package is relatively robust to varying degrees of shading. The hidden Markov model is described in Movement Ecology - Rakhimberdiev et al. (2015) <doi:10.1186/s40462-015-0062-5>, general package description is in the Methods in Ecology and Evolution - Rakhimberdiev et al. (2017) <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.

r-fealect 1.20
Propagated dependencies: r-rms@8.1-0 r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FeaLect
Licenses: GPL 2+
Build system: r
Synopsis: Scores Features for Feature Selection
Description:

For each feature, a score is computed that can be useful for feature selection. Several random subsets are sampled from the input data and for each random subset, various linear models are fitted using lars method. A score is assigned to each feature based on the tendency of LASSO in including that feature in the models.Finally, the average score and the models are returned as the output. The features with relatively low scores are recommended to be ignored because they can lead to overfitting of the model to the training data. Moreover, for each random subset, the best set of features in terms of global error is returned. They are useful for applying Bolasso, the alternative feature selection method that recommends the intersection of features subsets.

r-fluidigm 0.2
Dependencies: plink@1.07 perl@5.36.0
Propagated dependencies: r-reshape@0.8.10 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=Fluidigm
Licenses: GPL 3
Build system: r
Synopsis: Handling Fluidigm Data
Description:

Designed to streamline the process of analyzing genotyping data from Fluidigm machines, this package offers a suite of tools for data handling and analysis. It includes functions for converting Fluidigm data to format used by PLINK', estimating errors, calculating pairwise similarities, determining pairwise similarity loci, and generating a similarity matrix.

r-fpest 0.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fpest
Licenses: GPL 3
Build system: r
Synopsis: Estimating Finite Population Total
Description:

Given the values of sampled units and selection probabilities the desraj function in the package computes the estimated value of the total as well as estimated variance.

r-fastrg 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tidygraph@1.3.1 r-tibble@3.3.0 r-rspectra@0.16-2 r-rlang@1.1.6 r-matrix@1.7-4 r-igraph@2.2.1 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://rohelab.github.io/fastRG/
Licenses: Expat
Build system: r
Synopsis: Sample Generalized Random Dot Product Graphs in Linear Time
Description:

Samples generalized random product graphs, a generalization of a broad class of network models. Given matrices X, S, and Y with with non-negative entries, samples a matrix with expectation X S Y^T and independent Poisson or Bernoulli entries using the fastRG algorithm of Rohe et al. (2017) <https://www.jmlr.org/papers/v19/17-128.html>. The algorithm first samples the number of edges and then puts them down one-by-one. As a result it is O(m) where m is the number of edges, a dramatic improvement over element-wise algorithms that which require O(n^2) operations to sample a random graph, where n is the number of nodes.

r-formatdown 0.1.4
Propagated dependencies: r-wrapr@2.1.0 r-units@1.0-0 r-settings@0.2.7 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/graphdr/formatdown/
Licenses: Expat
Build system: r
Synopsis: Formatting Numbers in 'rmarkdown' Documents
Description:

This package provides a small set of tools for formatting numbers in R-markdown documents. Convert a numerical vector to character strings in power-of-ten form, decimal form, or measurement-units form; all are math-delimited for rendering as inline equations. Can also convert text into math-delimited text to match the font face and size of math-delimited numbers. Useful for rendering single numbers in inline R code chunks and for rendering columns in tables.

r-fastkqr 1.0.0
Propagated dependencies: r-rlang@1.1.6 r-matrix@1.7-4 r-mass@7.3-65 r-dotcall64@1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fastkqr
Licenses: GPL 2
Build system: r
Synopsis: Fast Algorithm for Kernel Quantile Regression
Description:

An efficient algorithm to fit and tune kernel quantile regression models based on the majorization-minimization (MM) method. It can also fit multiple quantile curves simultaneously without crossing.

r-fairmclus 2.2.1
Propagated dependencies: r-tidyr@1.3.1 r-rlist@0.4.6.2 r-magrittr@2.0.4 r-irr@0.84.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FairMclus
Licenses: GPL 2+
Build system: r
Synopsis: Clustering for Data with Sensitive Attribute
Description:

Clustering for categorical and mixed-type of data, to preventing classification biases due to race, gender or others sensitive attributes. This algorithm is an extension of the methodology proposed by "Santos & Heras (2020) <doi:10.28945/4643>".

r-foresttools 1.0.3
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-matrix@1.7-4 r-imager@1.0.5 r-glcmtextures@0.6.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/andrew-plowright/ForestTools
Licenses: GPL 3
Build system: r
Synopsis: Tools for Analyzing Remote Sensing Forest Data
Description:

This package provides tools for analyzing remote sensing forest data, including functions for detecting treetops from canopy models, outlining tree crowns, and calculating textural metrics.

r-foco2 0.1.2
Propagated dependencies: r-quadprog@1.5-8 r-osqp@0.6.3.3 r-matrix@1.7-4 r-foreco@1.1.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/danigiro/FoCo2/
Licenses: GPL 3+
Build system: r
Synopsis: Coherent Forecast Combination for Linearly Constrained Multiple Time Series
Description:

This package provides methods and tools designed to improve the forecast accuracy for a linearly constrained multiple time series, while fulfilling the linear/aggregation relationships linking the components (Girolimetto and Di Fonzo, 2024 <doi:10.48550/arXiv.2412.03429>). FoCo2 offers multi-task forecast combination and reconciliation approaches leveraging input from multiple forecasting models or experts and ensuring that the resulting forecasts satisfy specified linear constraints. In addition, linear inequality constraints (e.g., non-negativity of the forecasts) can be imposed, if needed.

r-forestmodel 0.6.2
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=forestmodel
Licenses: GPL 2
Build system: r
Synopsis: Forest Plots from Regression Models
Description:

This package produces forest plots using ggplot2 from models produced by functions such as stats::lm(), stats::glm() and survival::coxph().

r-fdrsampsize 1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FDRsampsize
Licenses: GPL 2
Build system: r
Synopsis: Compute Sample Size that Meets Requirements for Average Power and FDR
Description:

Defines a collection of functions to compute average power and sample size for studies that use the false discovery rate as the final measure of statistical significance.

r-fracfixr 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-rcolorbrewer@1.1-3 r-nnls@1.6 r-matrixstats@1.5.0 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4 r-aod@1.3.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FracFixR
Licenses: FSDG-compatible
Build system: r
Synopsis: Compositional Statistical Framework for RNA Fractionation Analysis
Description:

This package provides a compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data. FracFixR addresses the fundamental challenge in fractionated RNA-seq experiments where library preparation and sequencing depth obscure the original proportions of RNA fractions. It reconstructs original fraction proportions using non-negative linear regression, estimates the "lost" unrecoverable fraction, corrects individual transcript frequencies, and performs differential proportion testing between conditions. Supports any RNA fractionation protocol including polysome profiling, sub-cellular localization, and RNA-protein complex isolation.

r-ftrading 3042.79
Propagated dependencies: r-timeseries@4041.111 r-timedate@4051.111 r-fbasics@4041.97
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://www.rmetrics.org
Licenses: GPL 2+
Build system: r
Synopsis: Rmetrics - Trading and Rebalancing Financial Instruments
Description:

This package provides a collection of functions for trading and rebalancing financial instruments. It implements various technical indicators to analyse time series such as moving averages or stochastic oscillators.

r-forecastsnsts 1.3-0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://github.com/tobiaskley/forecastSNSTS
Licenses: GPL 2+
Build system: r
Synopsis: Forecasting for Stationary and Non-Stationary Time Series
Description:

This package provides methods to compute linear h-step ahead prediction coefficients based on localised and iterated Yule-Walker estimates and empirical mean squared and absolute prediction errors for the resulting predictors. Also, functions to compute autocovariances for AR(p) processes, to simulate tvARMA(p,q) time series, and to verify an assumption from Kley et al. (2019), Electronic of Statistics, forthcoming. Preprint <arXiv:1611.04460>.

r-fastqq 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://github.com/gumeo/fastqq
Licenses: GPL 3+
Build system: r
Synopsis: Faster Generation of Quantile Quantile Plots with Large Samples
Description:

New and faster implementations for quantile quantile plots. The package also includes a function to prune data for quantile quantile plots. This can drastically reduce the running time for large samples, for 100 million samples, you can expect a factor 80X speedup.

r-funviewr 0.1.1
Propagated dependencies: r-visnetwork@2.1.4 r-magrittr@2.0.4 r-igraph@2.2.1 r-htmltools@0.5.8.1 r-codetools@0.2-20
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/deamonpog/funviewR
Licenses: GPL 3
Build system: r
Synopsis: Visualize Function Call Dependencies in R Source Code
Description:

This package provides tools to analyze R source code and detect function definitions and their internal dependencies across multiple files. Creates interactive network visualizations using visNetwork to display function call relationships, with detailed tooltips showing function arguments, return values, and documentation. Supports both individual files and directory-based analysis with automatic file detection. Useful for understanding code structure, identifying dependencies, and documenting R projects.

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-fec16 0.1.6
Propagated dependencies: r-vroom@1.6.6 r-usethis@3.2.1 r-readr@2.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/baumer-lab/fec16
Licenses: CC0
Build system: r
Synopsis: Data Package for the 2016 United States Federal Elections
Description:

Easily analyze relational data from the United States 2016 federal election cycle as reported by the Federal Election Commission. This package contains data about candidates, committees, and a variety of different financial expenditures. Data is from <https://www.fec.gov/data/browse-data/?tab=bulk-data>.

r-fourscores 1.5.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FourScores
Licenses: GPL 3
Build system: r
Synopsis: Game for Human vs. Human or Human vs. AI
Description:

This package provides a game for two players: Who gets first four in a row (horizontal, vertical or diagonal) wins. As board game published by Milton Bradley, designed by Howard Wexler and Ned Strongin.

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