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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-fritools 4.6.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://gitlab.com/fvafrcu/fritools
Licenses: FreeBSD
Build system: r
Synopsis: Utilities for the Forest Research Institute of the State Baden-Wuerttemberg
Description:

Miscellaneous utilities, tools and helper functions for finding and searching files on disk, searching for and removing R objects from the workspace. Does not import or depend on any third party package, but on core R only (i.e. it may depend on packages with priority base').

r-fme 1.3.6.4
Propagated dependencies: r-rootsolve@1.8.2.4 r-minqa@1.2.8 r-minpack-lm@1.2-4 r-mass@7.3-65 r-desolve@1.40 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://fme.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis
Description:

This package provides functions to help in fitting models to data, to perform Monte Carlo, sensitivity and identifiability analysis. It is intended to work with models be written as a set of differential equations that are solved either by an integration routine from package deSolve', or a steady-state solver from package rootSolve'. However, the methods can also be used with other types of functions.

r-fastts 1.0.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://petersonr.github.io/fastTS/
Licenses: GPL 3+
Build system: r
Synopsis: Fast Time Series Modeling for Seasonal Series with Exogenous Variables
Description:

An implementation of sparsity-ranked lasso and related methods for time series data. This methodology is especially useful for large time series with exogenous features and/or complex seasonality. Originally described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7> in the context of variable selection with interactions and/or polynomials, ranked sparsity is a philosophy with methods useful for variable selection in the presence of prior informational asymmetry. This situation exists for time series data with complex seasonality, as shown in Peterson and Cavanaugh (2024) <doi:10.1177/1471082X231225307>, which also describes this package in greater detail. The sparsity-ranked penalization methods for time series implemented in fastTS can fit large/complex/high-frequency time series quickly, even with a high-dimensional exogenous feature set. The method is considerably faster than its competitors, while often producing more accurate predictions. Also included is a long hourly series of arrivals into the University of Iowa Emergency Department with concurrent local temperature.

r-freshr 1.0.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/shawnlinxl/freshr
Licenses: Expat
Build system: r
Synopsis: Make R Environment Fresh Again
Description:

This package provides a simple way to unload none-base packages and remove all global variables.

r-fco 2.0.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://flexiblecutoffs.org
Licenses: GPL 3+
Build system: r
Synopsis: Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models
Description:

This package provides a toolbox to derive flexible cutoffs for fit indices in Covariance-based Structural Equation Modeling based on the paper by Niemand & Mai (2018) <doi:10.1007/s11747-018-0602-9>. Flexible cutoffs are an alternative to fixed cutoffs - rules-of-thumb - regarding an appropriate cutoff for fit indices such as CFI or SRMR'. It has been demonstrated that these flexible cutoffs perform better than fixed cutoffs in grey areas where misspecification is not easy to detect. The package provides an alternative to the tool at <https://flexiblecutoffs.org> as it allows to tailor flexible cutoffs to a given dataset and model, which is so far not available in the tool. The package simulates fit indices based on a given dataset and model and then estimates the flexible cutoffs. Some useful functions, e.g., to determine the GoF- or BoF-nature of a fit index, are provided. So far, additional options for a relative use (is a model better than another?) are provided in an exploratory manner.

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@1.1-7
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-fishtree 0.3.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://fishtreeoflife.org/
Licenses: FreeBSD
Build system: r
Synopsis: Interface to the Fish Tree of Life API
Description:

An interface to the Fish Tree of Life API to download taxonomies, phylogenies, fossil calibrations, and diversification rate information for ray-finned fishes.

r-fracarma 0.1.0
Propagated dependencies: r-fracdiff@1.5-3 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fracARMA
Licenses: GPL 3
Build system: r
Synopsis: Fractionally Integrated ARMA Model
Description:

This package implements fractional differencing with Autoregressive Moving Average models to analyse long-memory time series data. Traditional ARIMA models typically use integer values for differencing, which are suitable for time series with short memory or anti-persistent behaviour. In contrast, the Fractional ARIMA model allows fractional differencing, enabling it to effectively capture long memory characteristics in time series data. The âfracARMAâ package is user-friendly and allows users to manually input the fractional differencing parameter, which can be obtained using various estimators such as the GPH estimator, Sperio method, or Wavelet method and many. Additionally, the package enables users to directly feed the time series data, AR order, MA order, fractional differencing parameter, and the proportion of training data as a split ratio, all in a single command. The package is based on the reference from the paper of Irshad and others (2024, <doi:10.22271/maths.2024.v9.i6b.1906>).

r-fasterraster 8.4.1.1
Dependencies: grass@8.4.1
Propagated dependencies: r-terra@1.8-86 r-shiny@1.11.1 r-sf@1.0-23 r-rgrass@0.5-3 r-omnibus@1.2.15 r-dt@0.34.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/adamlilith/fasterRaster
Licenses: GPL 3+
Build system: r
Synopsis: Faster Raster and Spatial Vector Processing Using 'GRASS'
Description:

Processing of large-in-memory/large-on disk rasters and spatial vectors using GRASS <https://grass.osgeo.org/>. Most functions in the terra package are recreated. Processing of medium-sized and smaller spatial objects will nearly always be faster using terra or sf', but for large-in-memory/large-on-disk objects, fasterRaster may be faster. To use most of the functions, you must have the stand-alone version (not the OSGeoW4 installer version) of GRASS 8.0 or higher.

r-funsurv 1.0.0
Propagated dependencies: r-reda@0.5.6 r-mfpca@1.3-11 r-matrix@1.7-4 r-mass@7.3-65 r-ggplot2@4.0.1 r-fundata@1.3-9
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/zifangkong/FunSurv
Licenses: Expat
Build system: r
Synopsis: Modeling Time-to-Event Data with Functional Predictors
Description:

This package provides a collection of methods for modeling time-to-event data using both functional and scalar predictors. It implements functional data analysis techniques for estimation and inference, allowing researchers to assess the impact of functional covariates on survival outcomes, including time-to-single event and recurrent event outcomes.

r-funstattest 1.0.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://plmlab.math.cnrs.fr/gdurif/funStatTest/
Licenses: AGPL 3+
Build system: r
Synopsis: Statistical Testing for Functional Data
Description:

Implementation of two sample comparison procedures based on median-based statistical tests for functional data, introduced in Smida et al (2022) <doi:10.1080/10485252.2022.2064997>. Other competitive state-of-the-art approaches proposed by Chakraborty and Chaudhuri (2015) <doi:10.1093/biomet/asu072>, Horvath et al (2013) <doi:10.1111/j.1467-9868.2012.01032.x> or Cuevas et al (2004) <doi:10.1016/j.csda.2003.10.021> are also included in the package, as well as procedures to run test result comparisons and power analysis using simulations.

r-flexscan 0.2.2
Propagated dependencies: r-spdep@1.4-1 r-spatialreg@1.4-2 r-sp@2.2-0 r-smerc@1.8.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FlexScan
Licenses: GPL 3
Build system: r
Synopsis: Flexible Scan Statistics
Description:

An easy way to conduct flexible scan. Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile. A table with formal style and a map with clusters are included in the result report. The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.

r-favar 0.1.3
Propagated dependencies: r-mcmcpack@1.7-1 r-matrix@1.7-4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-coda@0.19-4.1 r-bvartools@0.2.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FAVAR
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Analysis of a FAVAR Model
Description:

Estimate a FAVAR model by a Bayesian method, based on Bernanke et al. (2005) <DOI:10.1162/0033553053327452>.

r-fastadi 0.1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://rohelab.github.io/fastadi/
Licenses: Expat
Build system: r
Synopsis: Self-Tuning Data Adaptive Matrix Imputation
Description:

This package implements the AdaptiveImpute matrix completion algorithm of Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion <doi:10.1080/10618600.2018.1518238> as well as the specialized variant of Co-Factor Analysis of Citation Networks <doi:10.1080/10618600.2024.2394464>. AdaptiveImpute is useful for embedding sparsely observed matrices, often out performs competing matrix completion algorithms, and self-tunes its hyperparameter, making usage easy.

r-factorial2x2 0.2.0
Propagated dependencies: r-survival@3.8-3 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=factorial2x2
Licenses: GPL 2
Build system: r
Synopsis: Design and Analysis of a 2x2 Factorial Trial
Description:

Used for the design and analysis of a 2x2 factorial trial for a time-to-event endpoint. It performs power calculations and significance testing as well as providing estimates of the relevant hazard ratios and the corresponding 95% confidence intervals. Important reference papers include Slud EV. (1994) <https://www.ncbi.nlm.nih.gov/pubmed/8086609> Lin DY, Gong J, Gallo P, Bunn PH, Couper D. (2016) <DOI:10.1111/biom.12507> Leifer ES, Troendle JF, Kolecki A, Follmann DA. (2020) <https://github.com/EricSLeifer/factorial2x2/blob/master/Leifer%20et%20al.%20paper.pdf>.

r-fastbeta 0.5.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/davidearn/fastbeta
Licenses: GPL 2+
Build system: r
Synopsis: Fast Approximation of Time-Varying Infectious Disease Transmission Rates
Description:

This package provides a fast method for approximating time-varying infectious disease transmission rates from disease incidence time series and other data, based on a discrete time approximation of an SEIR model, as analyzed in Jagan et al. (2020) <doi:10.1371/journal.pcbi.1008124>.

r-fiery 1.5.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://fiery.data-imaginist.com
Licenses: Expat
Build system: r
Synopsis: Lightweight and Flexible Web Framework
Description:

This package provides a very flexible framework for building server side logic in R. The framework is unopinionated when it comes to how HTTP requests and WebSocket messages are handled and supports all levels of app complexity; from serving static content to full-blown dynamic web-apps. Fiery does not hold your hand as much as e.g. the shiny package does, but instead sets you free to create your web app the way you want.

r-fossilsim 2.4.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FossilSim
Licenses: GPL 3
Build system: r
Synopsis: Simulation and Plots for Fossil and Taxonomy Data
Description:

Simulating and plotting taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.

r-forestmodel 0.6.2
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-fangs 0.2.21
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/dbdahl/fangs-package
Licenses: Expat ASL 2.0
Build system: r
Synopsis: Feature Allocation Neighborhood Greedy Search Algorithm
Description:

This package provides a neighborhood-based, greedy search algorithm is performed to estimate a feature allocation by minimizing the expected loss based on posterior samples from the feature allocation distribution. The method is described in Dahl, Johnson, and Andros (2023) "Comparison and Bayesian Estimation of Feature Allocations" <doi:10.1080/10618600.2023.2204136>.

r-fishdiver 1.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/calvinsbeale/FishDiveR
Licenses: GPL 3+
Build system: r
Synopsis: Classify Aquatic Animal Behaviours from Vertical Movement Data
Description:

Quantitatively analyse depth time-series data from pop-up satellite archival tags (PSATs) through the application of continuous wavelet transformation (CWT) combined with Principal Component Analysis (PCA), and k-means clustering. Import, crop, and plot depth time-depth records (TDRs). Using CWT to detect important signals within the non-stationary data, we create daily wavelet statistics to summarise vertical movements on different wavelet periods and combine with daily and diel depth statistics. Classify depth time-series with unsupervised k-means clustering into 24-hour periods of vertical movement behaviour with distinct patterns of vertical movement. Plot example days from each behaviour cluster, and plot the TDR coloured by cluster. Based on principals of combining CWT with k-means first developed by Sakamoto (2009) <doi:10.1371/journal.pone.0005379> and redeveloped by Beale (2026) <doi:10.21203/rs.3.rs-6907076/v1>.

r-fastmatrix 0.6-6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/faosorios/fastmatrix
Licenses: GPL 3
Build system: r
Synopsis: Fast Computation of some Matrices Useful in Statistics
Description:

Small set of functions designed to speed up the computation of certain matrix operations that are commonly used in statistics and econometrics. It provides efficient implementations for the computation of several structured matrices, matrix decompositions and statistical procedures, many of which have minimal memory overhead. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.

r-filters 0.3.1
Propagated dependencies: r-yaml@2.3.10 r-plyr@1.8.9 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=filters
Licenses: ASL 2.0
Build system: r
Synopsis: "Snake_case" Filter System for R
Description:

Enables filtering datasets by a prior specified identifiers which correspond to saved filter expressions.

r-fqar 0.5.6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/equitable-equations/fqar/
Licenses: Expat
Build system: r
Synopsis: Floristic Quality Assessment Tools for R
Description:

This package provides tools for downloading and analyzing floristic quality assessment data. See Freyman et al. (2015) <doi:10.1111/2041-210X.12491> for more information about floristic quality assessment and the associated database.

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