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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-fmm 0.4.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/FMMGroupVa/FMM-base-R-package
Licenses: GPL 2+
Build system: r
Synopsis: Rhythmic Patterns Modeling by FMM Models
Description:

This package provides a collection of functions to fit and explore single, multi-component and restricted Frequency Modulated Moebius (FMM) models. FMM is a nonlinear parametric regression model capable of fitting non-sinusoidal shapes in rhythmic patterns. Details about the mathematical formulation of FMM models can be found in Rueda et al. (2019) <doi:10.1038/s41598-019-54569-1>.

r-fastrg 0.4.0
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-factorstochvol 1.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=factorstochvol
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models
Description:

Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving <doi:10.1080/10618600.2017.1322091>. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.

r-factorhet 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/mgoplerud/FactorHet
Licenses: GPL 2+
Build system: r
Synopsis: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity
Description:

Estimates heterogeneous effects in factorial (and conjoint) models. The methodology employs a Bayesian finite mixture of regularized logistic regressions, where moderators can affect each observation's probability of group membership and a sparsity-inducing prior fuses together levels of each factor while respecting ANOVA-style sum-to-zero constraints. Goplerud, Imai, and Pashley (2024) <doi:10.48550/ARXIV.2201.01357> provide further details.

r-flightplot 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/xmc811/flightplot
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Plotting Flight Paths on Maps
Description:

This package provides functionality to plot airplane flight paths on maps. The plotted flight paths follow the great circle of the Earth.

r-foragingorg 0.1.0
Propagated dependencies: r-tsp@1.2.6 r-pairviz@1.3.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=ForagingOrg
Licenses: GPL 3
Build system: r
Synopsis: Organization Measures for Visual Foraging
Description:

Several functions to compute indicators for organization and efficiency in visual foraging, multi-target visual search, and cancellation tasks. The current version of this package includes the following indicators: best-r, mean Inter-target Distance, Percentage Above Optimal (PAO) scan path, and intersections in the scan path. For more detailed descriptions, see Mark et al. (2004) <doi:10.1212/01.WNL.0000131947.08670.D4>.

r-fbroc 0.4.1
Propagated dependencies: r-rcpp@1.1.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://www.epeter-stats.de/roc-curve-analysis-with-fbroc/
Licenses: GPL 2
Build system: r
Synopsis: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description:

This package implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.

r-forestry 0.1.1
Propagated dependencies: r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=forestry
Licenses: Expat
Build system: r
Synopsis: Reshape Data Tree
Description:

This package provides a series of utility functions to help with reshaping hierarchy of data tree, and reform the structure of data tree.

r-fmriar 0.3.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://bbuchsbaum.github.io/fmriAR/
Licenses: Expat
Build system: r
Synopsis: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data
Description:

Lightweight utilities to estimate autoregressive (AR) and autoregressive moving average (ARMA) noise models from residuals and apply matched generalized least squares to whiten functional magnetic resonance imaging (fMRI) design and data matrices. The ARMA estimator follows a classic 1982 approach <doi:10.1093/biomet/69.1.81>, and a restricted AR family mirrors workflows described by Cox (2012) <doi:10.1016/j.neuroimage.2011.08.056>.

r-fwtraits 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/AnthonyBasooma/fwtraits
Licenses: GPL 3+
Build system: r
Synopsis: Extract Species Ecological Parameters from Www.freshwaterecology.info
Description:

Support the extraction and seamless integration of species ecological traits or preferences from the www.freshwaterecology.info into several ecological model workflows. During data extraction, different taxonomic levels are acceptable, including species, genus, and family, based on the availability of data in the database. The data is cached after the first search and can be accessed during and after online interactions. Only scientific names are acceptable in the search; local or English names are not allowed. A user API key is required to start using the package.

r-farff 1.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/mlr-org/farff
Licenses: FreeBSD
Build system: r
Synopsis: Faster 'ARFF' File Reader and Writer
Description:

Reads and writes ARFF files. ARFF (Attribute-Relation File Format) files are like CSV files, with a little bit of added meta information in a header and standardized NA values. They are quite often used for machine learning data sets and were introduced for the WEKA machine learning Java toolbox. See <https://waikato.github.io/weka-wiki/formats_and_processing/arff_stable/> for further info on ARFF and for <http://www.cs.waikato.ac.nz/ml/weka/> for more info on WEKA'. farff gets rid of the Java dependency that RWeka enforces, and it is at least a faster reader (for bigger files). It uses readr as parser back-end for the data section of the ARFF file. Consistency with RWeka is tested on Github and Travis CI with hundreds of ARFF files from OpenML'.

r-fcusum 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FCUSUM
Licenses: GPL 3
Build system: r
Synopsis: Fourier CUSUM Cointegration Test
Description:

This package implements the Fourier cumulative sum (CUSUM) cointegration test for detecting cointegration relationships in time series data with structural breaks. The test uses Fourier approximations to capture smooth structural changes and CUSUM statistics to test for cointegration stability. Based on methodology described in Zaghdoudi (2025) <doi:10.46557/001c.144076>. The corrected Akaike Information Criterion (AICc) is used for optimal frequency selection.

r-fracfixr 1.0.0
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-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-fafa 0.5
Propagated dependencies: r-sirt@4.2-133 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-semtools@0.5-7 r-semplot@1.1.7 r-readxl@1.4.5 r-psychometric@2.4 r-psych@2.5.6 r-pastecs@1.4.2 r-naniar@1.1.0 r-mvnormaltest@1.0.1 r-moments@0.14.1 r-missforest@1.6.1 r-mice@3.18.0 r-mctest@1.3.2 r-mbess@4.9.41 r-magrittr@2.0.4 r-lavaan@0.6-20 r-itemrest@0.2.3 r-haven@2.5.5 r-golem@0.5.1 r-ggplot2@4.0.1 r-ggcorrplot@0.1.4.1 r-energy@1.7-12 r-eganet@2.4.0 r-efatools@0.6.1 r-efa-mrfa@1.1.2 r-efa-dimensions@0.1.8.6 r-dplyr@1.1.4 r-config@0.3.2 r-bslib@0.9.0 r-bsicons@0.1.2 r-amelia@1.8.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/AFarukKILIC/FAfA
Licenses: Expat
Build system: r
Synopsis: Factor Analysis for All
Description:

This package provides a comprehensive Shiny-based graphical user interface for conducting a wide range of factor analysis procedures. FAfA (Factor Analysis for All) guides users through data uploading, assumption checking (descriptives, collinearity, multivariate normality, outliers), data wrangling (variable exclusion, data splitting), factor retention analysis (e.g., Parallel Analysis, Hull method, EGA), Exploratory Factor Analysis (EFA) with various rotation and extraction methods, Confirmatory Factor Analysis (CFA) for model testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's Omega), Measurement Invariance testing across groups, and item weighting techniques. The application leverages established R packages such as lavaan and psych to perform these analyses, offering an accessible platform for researchers and students. Results are presented in user-friendly tables and plots, with options for downloading outputs.

r-fastkqr 1.0.0
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-friends 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/EmilHvitfeldt/friends
Licenses: Expat
Build system: r
Synopsis: The Entire Transcript from Friends in Tidy Format
Description:

The complete scripts from the American sitcom Friends in tibble format. Use this package to practice data wrangling, text analysis and network analysis.

r-factmle 1.1
Propagated dependencies: r-rarpack@0.11-0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FACTMLE
Licenses: GPL 3
Build system: r
Synopsis: Maximum Likelihood Factor Analysis
Description:

Perform Maximum Likelihood Factor analysis on a covariance matrix or data matrix.

r-fardeep 1.0.1
Propagated dependencies: r-preprocesscore@1.72.0 r-nnls@1.6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FARDEEP
Licenses: Expat
Build system: r
Synopsis: Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares
Description:

Using the idea of least trimmed square, it could automatically detects and removes outliers from data before estimating the coefficients. It is a robust machine learning tool which can be applied to gene-expression deconvolution technique. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei and Yuying Xie (2019) <doi:10.1101/358366>.

r-find 0.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FIND
Licenses: Expat
Build system: r
Synopsis: Objective Comparison of Phase I Dose-Finding Designs
Description:

Generate decision tables and simulate operating characteristics for phase I dose-finding designs to enable objective comparison across methods. Supported designs include the traditional 3+3, Bayesian Optimal Interval (BOIN) (Liu and Yuan (2015) <doi:10.1158/1078-0432.CCR-14-1526>), modified Toxicity Probability Interval-2 (mTPI-2) (Guo et al. (2017) <doi:10.1002/sim.7185>), interval 3+3 (i3+3) (Liu et al. (2020) <doi:10.1177/0962280220939123>), and Generalized 3+3 (G3). Provides visualization tools for comparing decision rules and operating characteristics across multiple designs simultaneously.

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-flametree 0.1.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/djnavarro/flametree
Licenses: Expat
Build system: r
Synopsis: Generate Random Tree-Like Images
Description:

This package provides a generative art system for producing tree-like images using an L-system to create the structures. The package includes tools for generating the data structures and visualise them in a variety of styles.

r-flex 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flex
Licenses: Expat
Build system: r
Synopsis: Fuzzy Linear Squares Estimation with Explicit Formula (FLEX)
Description:

The FLEX method, developed by Yoon and Choi (2013) <doi:10.1007/978-3-642-33042-1_21>, performs least squares estimation for fuzzy predictors and outcomes, generating crisp regression coefficients by minimizing the distance between observed and predicted outcomes. It also provides functions for fuzzifying data and inference tasks, including significance testing, fit indices, and confidence interval estimation.

r-frapp 1.0.0
Propagated dependencies: r-shiny@1.11.1 r-nlme@3.1-168 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/gioiadc/FRApp
Licenses: GPL 3+
Build system: r
Synopsis: FRAP Data Analysis Using Nonlinear Mixed Effect Models with 'shiny'
Description:

Analysis of Fluorescence Recovery After Photobleaching (FRAP) experiments using nonlinear mixed-effects regression models and analysis of the results. FRApp is not limited to the analysis of FRAP experiments only. Any nonlinear mixed-effects models with an asymptotic exponential functional relationship to hierarchical data in various domains can be fitted. The analysis of data available in the package is presented in Di Credico, G., Pelucchi, S., Pauli, F. et al. (2025) <doi:10.1038/s41598-025-87154-w>.

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Total results: 21457