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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-fi 1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/dvdscripter/FI
Licenses: GPL 3
Build system: r
Synopsis: Provide Functions for Forest Inventory Calculations
Description:

Provide functions for forest inventory calculations. Common volumetric equations (Smalian, Newton and Huber) as well stacking factor and form.

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-formulops 0.5.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/humanpred/formulops
Licenses: GPL 3
Build system: r
Synopsis: Mathematical Operations on R Formula
Description:

Perform mathematical operations on R formula (add, subtract, multiply, etc.) and substitute parts of formula.

r-fdaconcur 0.1.3
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-fdapace@0.6.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/functionaldata/tFDAconcur
Licenses: Modified BSD
Build system: r
Synopsis: Concurrent Regression and History Index Models for Functional Data
Description:

This package provides an implementation of concurrent or varying coefficient regression methods for functional data. The implementations are done for both dense and sparsely observed functional data. Pointwise confidence bands can be constructed for each case. Further, the influence of past predictor values are modeled by a smooth history index function, while the effects on the response are described by smooth varying coefficient functions, which are very useful in analyzing real data such as COVID data. References: Yao, F., Müller, H.G., Wang, J.L. (2005) <doi:10.1214/009053605000000660>. Sentürk, D., Müller, H.G. (2010) <doi:10.1198/jasa.2010.tm09228>.

r-fxl 1.7.3
Propagated dependencies: r-rlang@1.1.6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fxl
Licenses: GPL 3+
Build system: r
Synopsis: 'fxl' Single Case Design Charting Package
Description:

The fxl Charting package is used to prepare and design single case design figures that are typically prepared in spreadsheet software. With fxl', there is no need to leave the R environment to prepare these works and many of the more unique conventions in single case experimental designs can be performed without the need for physically constructing features of plots (e.g., drawing annotations across plots). Support is provided for various different plotting arrangements (e.g., multiple baseline), annotations (e.g., brackets, arrows), and output formats (e.g., svg, rasters).

r-fnonlinear 4041.82
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: https://www.rmetrics.org
Licenses: GPL 2+
Build system: r
Synopsis: Rmetrics - Nonlinear and Chaotic Time Series Modelling
Description:

This package provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.

r-flattabler 2.1.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-readxl@1.4.5 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://josesamos.github.io/flattabler/
Licenses: Expat
Build system: r
Synopsis: Obtaining a Flat Table from Pivot Tables
Description:

Transformations that allow obtaining a flat table from reports in text or Excel format that contain data in the form of pivot tables. They can be defined for a single report and applied to a set of reports.

r-flowtracer 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-comprehenr@0.6.10
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/OKdll/flowTraceR
Licenses: Expat
Build system: r
Synopsis: Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics
Description:

Useful functions to standardize software outputs from ProteomeDiscoverer, Spectronaut, DIA-NN and MaxQuant on precursor, modified peptide and proteingroup level and to trace software differences for identifications such as varying proteingroup denotations for common precursor.

r-flocker 1.0-0
Propagated dependencies: r-withr@3.0.2 r-matrixstats@1.5.0 r-mass@7.3-65 r-loo@2.8.0 r-brms@2.23.0 r-boot@1.3-32 r-assertthat@0.2.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/jsocolar/flocker
Licenses: Modified BSD
Build system: r
Synopsis: Flexible Occupancy Estimation with Stan
Description:

Fit occupancy models in Stan via brms'. The full variety of brms formula-based effects structures are available to use in multiple classes of occupancy model, including single-season models, models with data augmentation for never-observed species, dynamic (multiseason) models with explicit colonization and extinction processes, and dynamic models with autologistic occupancy dynamics. Formulas can be specified for all relevant distributional terms, including detection and one or more of occupancy, colonization, extinction, and autologistic depending on the model type. Several important forms of model post-processing are provided. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Socolar & Mills (2023) <doi:10.1101/2023.10.26.564080>.

r-funique 0.0.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/mkearney/funique
Licenses: Expat
Build system: r
Synopsis: Faster Unique Function
Description:

Similar to base's unique function, only optimized for working with data frames, especially those that contain date-time columns.

r-foresight 2.0.0
Propagated dependencies: r-zoo@1.8-14 r-viridislite@0.4.2 r-tidyr@1.3.1 r-soilhyp@0.1.7 r-scales@1.4.0 r-rlang@1.1.6 r-rgn@1.0.0 r-rcpp@1.1.0 r-progress@1.2.3 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-lubridate@1.9.4 r-lattice@0.22-7 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-ga@3.2.4 r-foreach@1.5.2 r-fields@17.1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-directlabels@2025.6.24 r-dfoptim@2023.1.0 r-cowplot@1.2.0 r-blrpm@1.0 r-airgr@1.7.8
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-fitur 0.6.2
Propagated dependencies: r-shiny@1.11.1 r-rstudioapi@0.17.1 r-miniui@0.1.2 r-goftest@1.2-3 r-ggplot2@4.0.1 r-fitdistrplus@1.2-4 r-e1071@1.7-16 r-dt@0.34.0 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/tomroh/fitur
Licenses: Expat
Build system: r
Synopsis: Fit Univariate Distributions
Description:

Wrapper for computing parameters for univariate distributions using MLE. It creates an object that stores d, p, q, r functions as well as parameters and statistics for diagnostics. Currently supports automated fitting from base and actuar packages. A manually fitting distribution fitting function is included to support directly specifying parameters for any distribution from ancillary packages.

r-findr 0.2.1
Propagated dependencies: r-stringr@1.6.0 r-pdftools@3.6.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=findR
Licenses: GPL 3
Build system: r
Synopsis: Find Code Snippets, R Scripts, R Markdown, PDF and Text Files with Pattern Matching
Description:

Scans all directories and subdirectories of a path for code snippets, R scripts, R Markdown, PDF or text files containing a specific pattern. Files found can be copied to a new folder.

r-flood 0.1.1
Propagated dependencies: r-tlmoments@0.7.5.3 r-magrittr@2.0.4 r-evd@2.3-7.1 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flood
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Methods for the (Regional) Analysis of Flood Frequency
Description:

Includes several statistical methods for the estimation of parameters and high quantiles of river flow distributions. The focus is on regional estimation based on homogeneity assumptions and computed from multivariate observations (multiple measurement stations). For details see Kinsvater et al. (2017) <arXiv:1701.06455>.

r-forsearch 6.4.0
Dependencies: gmp@6.3.0
Propagated dependencies: r-tibble@3.3.0 r-survival@3.8-3 r-rlang@1.1.6 r-nlme@3.1-168 r-hmisc@5.2-4 r-ggplot2@4.0.1 r-formula-tools@1.7.1 r-cairo@1.7-0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=forsearch
Licenses: GPL 3+
Build system: r
Synopsis: Diagnostic Analysis Using Forward Search Procedure for Various Models
Description:

Identifies potential data outliers and their impact on estimates and analyses. Tool for evaluation of study credibility. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by functions lm stats, glm stats, nls stats, lme nlme, or coxph survival, or their equivalent in another language. Includes graphics functions to display the descriptive statistics.

r-fordm 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-plotly@4.11.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-emoa@0.5-3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FoRDM
Licenses: Expat
Build system: r
Synopsis: Forest Many-Objective Robust Decision Making ('FoRDM')
Description:

Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and satisficing'-based measures. FoRDM identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.

r-funmodisco 1.1.0
Propagated dependencies: r-stringr@1.6.0 r-scales@1.4.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-progress@1.2.3 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-fda@6.3.0 r-fastcluster@1.3.0 r-dplyr@1.1.4 r-dendextend@1.19.1 r-data-table@1.17.8 r-combinat@0.0-8 r-class@7.3-23
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=funMoDisco
Licenses: GPL 2+
Build system: r
Synopsis: Motif Discovery in Functional Data
Description:

Efficiently implementing two complementary methodologies for discovering motifs in functional data: ProbKMA and FunBIalign. Cremona and Chiaromonte (2023) "Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data" <doi:10.1080/10618600.2022.2156522> is a probabilistic K-means algorithm that leverages local alignment and fuzzy clustering to identify recurring patterns (candidate functional motifs) across and within curves, allowing different portions of the same curve to belong to different clusters. It includes a family of distances and a normalization to discover various motif types and learns motif lengths in a data-driven manner. It can also be used for local clustering of misaligned data. Di Iorio, Cremona, and Chiaromonte (2023) "funBIalign: A Hierarchical Algorithm for Functional Motif Discovery Based on Mean Squared Residue Scores" <doi:10.48550/arXiv.2306.04254> applies hierarchical agglomerative clustering with a functional generalization of the Mean Squared Residue Score to identify motifs of a specified length in curves. This deterministic method includes a small set of user-tunable parameters. Both algorithms are suitable for single curves or sets of curves. The package also includes a flexible function to simulate functional data with embedded motifs, allowing users to generate benchmark datasets for validating and comparing motif discovery methods.

r-ftrcool 2.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=ftrCOOL
Licenses: GPL 3
Build system: r
Synopsis: Feature Extraction from Biological Sequences
Description:

Extracts features from biological sequences. It contains most features which are presented in related work and also includes features which have never been introduced before. It extracts numerous features from nucleotide and peptide sequences. Each feature converts the input sequences to discrete numbers in order to use them as predictors in machine learning models. There are many features and information which are hidden inside a sequence. Utilizing the package, users can convert biological sequences to discrete models based on chosen properties. References: iLearn Z. Chen et al. (2019) <DOI:10.1093/bib/bbz041>. iFeature Z. Chen et al. (2018) <DOI:10.1093/bioinformatics/bty140>. <https://CRAN.R-project.org/package=rDNAse>. PseKRAAC Y. Zuo et al. PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition (2017) <DOI:10.1093/bioinformatics/btw564>. iDNA6mA-PseKNC P. Feng et al. iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC (2019) <DOI:10.1016/j.ygeno.2018.01.005>. I. Dubchak et al. Prediction of protein folding class using global description of amino acid sequence (1995) <DOI:10.1073/pnas.92.19.8700>. W. Chen et al. Identification and analysis of the N6-methyladenosine in the Saccharomyces cerevisiae transcriptome (2015) <DOI:10.1038/srep13859>.

r-fnr 1.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/nilforooshan/FnR
Licenses: GPL 3+
Build system: r
Synopsis: Inbreeding and Numerator Relationship Coefficients
Description:

Compute inbreeding coefficients using the method of Meuwissen and Luo (1992) <doi:10.1186/1297-9686-24-4-305>, and numerator relationship coefficients between individuals using the method of Van Vleck (2007) <https://pubmed.ncbi.nlm.nih.gov/18050089/>.

r-fixseqmtp 0.1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FixSeqMTP
Licenses: GPL 2+
Build system: r
Synopsis: Fixed Sequence Multiple Testing Procedures
Description:

Several generalized / directional Fixed Sequence Multiple Testing Procedures (FSMTPs) are developed for testing a sequence of pre-ordered hypotheses while controlling the FWER, FDR and Directional Error (mdFWER). All three FWER controlling generalized FSMTPs are designed under arbitrary dependence, which allow any number of acceptances. Two FDR controlling generalized FSMTPs are respectively designed under arbitrary dependence and independence, which allow more but a given number of acceptances. Two mdFWER controlling directional FSMTPs are respectively designed under arbitrary dependence and independence, which can also make directional decisions based on the signs of the test statistics. The main functions for each proposed generalized / directional FSMTPs are designed to calculate adjusted p-values and critical values, respectively. For users convenience, the functions also provide the output option for printing decision rules.

r-filearray 0.2.0
Propagated dependencies: r-uuid@1.2-1 r-rcpp@1.1.0 r-fastmap@1.2.0 r-digest@0.6.39 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://dipterix.org/filearray/
Licenses: LGPL 3
Build system: r
Synopsis: File-Backed Array for Out-of-Memory Computation
Description:

Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).

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-fractalparameterestimation 1.1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FractalParameterEstimation
Licenses: GPL 2+
Build system: r
Synopsis: Simulation and Parameter Estimation of Randomized Sierpinski Carpets using the p-p-p-q-Model
Description:

The parameters p and q are estimated with the aid of a randomized Sierpinski Carpet which is built on a [p-p-p-q]-model. Thereby, for three times a simulation with a p-value and once with a q-value is assumed. Hence, these parameters are estimated and displayed. Moreover, functions for simulating random Sierpinski-Carpets with constant and variable probabilities are included. For more details on the method please see Hermann et al. (2015) <doi:10.1002/sim.6497>.

r-flownet 0.1.2
Propagated dependencies: r-sf@1.0-23 r-progress@1.2.3 r-mirai@2.5.2 r-leadercluster@1.5 r-kit@0.0.20 r-igraph@2.2.1 r-geodist@0.1.1 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://sebkrantz.github.io/flownet/
Licenses: GPL 3
Build system: r
Synopsis: Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment
Description:

High-performance tools for transport modeling - network processing, route enumeration, and traffic assignment in R. The package implements the Path-Sized Logit model for traffic assignment - Ben-Akiva and Bierlaire (1999) <doi:10.1007/978-1-4615-5203-1_2> - an efficient route enumeration algorithm, and provides powerful utility functions for (multimodal) network generation, consolidation/contraction, and/or simplification. The user is expected to provide a transport network (either a graph or collection of linestrings) and an origin-destination (OD) matrix of trade/traffic flows. Maintained by transport consultants at CPCS (cpcs.ca).

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