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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-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-fpow 0.0-3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://doi.org/10.1007/s11222-008-9061-3
Licenses: CC0
Build system: r
Synopsis: Computing the Noncentrality Parameter of the Noncentral F Distribution
Description:

Returns the noncentrality parameter of the noncentral F distribution if probability of type I and type II error, degrees of freedom of the numerator and the denominator are given. It may be useful for computing minimal detectable differences for general ANOVA models. This program is documented in the paper of A. Baharev, S. Kemeny, On the computation of the noncentral F and noncentral beta distribution; Statistics and Computing, 2008, 18 (3), 333-340.

r-fwdselect 2.1.0
Propagated dependencies: r-mgcv@1.9-4 r-cvtools@0.3.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://cran.r-project.org/package=FWDselect
Licenses: Expat
Build system: r
Synopsis: Selecting Variables in Regression Models
Description:

This package provides a simple method to select the best model or best subset of variables using different types of data (binary, Gaussian or Poisson) and applying it in different contexts (parametric or non-parametric).

r-factormodel 1.0
Propagated dependencies: r-pracma@2.4.6 r-nnet@7.3-20 r-gtools@3.9.5 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=factormodel
Licenses: GPL 3
Build system: r
Synopsis: Factor Model Estimation Using Proxy Variables
Description:

This package provides functions to estimate a factor model using discrete and continuous proxy variables. The function dproxyme estimates a factor model of discrete proxy variables using an EM algorithm (Dempster, Laird, Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x>; Hu (2008) <doi:10.1016/j.jeconom.2007.12.001>; Hu(2017) <doi:10.1016/j.jeconom.2017.06.002> ). The function cproxyme estimates a linear factor model (Cunha, Heckman, and Schennach (2010) <doi:10.3982/ECTA6551>).

r-forestr 2.0.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/atkinsjeff/forestr
Licenses: GPL 3
Build system: r
Synopsis: Ecosystem and Canopy Structural Complexity Metrics from LiDAR
Description:

This package provides a toolkit for calculating forest and canopy structural complexity metrics from terrestrial LiDAR (light detection and ranging). References: Atkins et al. 2018 <doi:10.1111/2041-210X.13061>; Hardiman et al. 2013 <doi:10.3390/f4030537>; Parker et al. 2004 <doi:10.1111/j.0021-8901.2004.00925.x>.

r-fourgametep 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FourgameteP
Licenses: GPL 2
Build system: r
Synopsis: FourGamete Test
Description:

The four-gamete test is based on the infinite-sites model which assumes that the probability of the same mutation occurring twice (recurrent or parallel mutations) and the probability of a mutation back to the original state (reverse mutations) are close to zero. Without these types of mutations, the only explanation for observing the four dilocus genotypes (example below) is recombination (Hudson and Kaplan 1985, Genetics 111:147-164). Thus, the presence of all four gametes is also called phylogenetic incompatibility.

r-funcdiv 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FuncDiv
Licenses: AGPL 3
Build system: r
Synopsis: Compute Contributional Diversity Metrics
Description:

Compute alpha and beta contributional diversity metrics, which is intended for linking taxonomic and functional microbiome data. See GitHub repository for the tutorial: <https://github.com/gavinmdouglas/FuncDiv/wiki>. Citation: Gavin M. Douglas, Sunu Kim, Morgan G. I. Langille, B. Jesse Shapiro (2023) <doi:10.1093/bioinformatics/btac809>.

r-frair 0.5.203
Propagated dependencies: r-rcppparallel@5.1.11-1 r-lamw@2.2.5 r-boot@1.3-32 r-bbmle@1.0.25.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/dpritchard/frair
Licenses: GPL 2
Build system: r
Synopsis: Tools for Functional Response Analysis
Description:

This package provides tools to support sensible statistics for functional response analysis.

r-fastgraph 2.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fastGraph
Licenses: GPL 3
Build system: r
Synopsis: Fast Drawing and Shading of Graphs of Statistical Distributions
Description:

This package provides functionality to produce graphs of probability density functions and cumulative distribution functions with few keystrokes, allows shading under the curve of the probability density function to illustrate concepts such as p-values and critical values, and fits a simple linear regression line on a scatter plot with the equation as the main title.

r-frbs 3.2-0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://sci2s.ugr.es/dicits/software/FRBS
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Fuzzy Rule-Based Systems for Classification and Regression Tasks
Description:

An implementation of various learning algorithms based on fuzzy rule-based systems (FRBSs) for dealing with classification and regression tasks. Moreover, it allows to construct an FRBS model defined by human experts. FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965, which aims at representing the reasoning of human experts in a set of IF-THEN rules, to handle real-life problems in, e.g., control, prediction and inference, data mining, bioinformatics data processing, and robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling of an FRBS, there are two important steps that need to be conducted: structure identification and parameter estimation. Nowadays, there exists a wide variety of algorithms to generate fuzzy IF-THEN rules automatically from numerical data, covering both steps. Approaches that have been used in the past are, e.g., heuristic procedures, neuro-fuzzy techniques, clustering methods, genetic algorithms, squares methods, etc. Furthermore, in this version we provide a universal framework named frbsPMML', which is adopted from the Predictive Model Markup Language (PMML), for representing FRBS models. PMML is an XML-based language to provide a standard for describing models produced by data mining and machine learning algorithms. Therefore, we are allowed to export and import an FRBS model to/from frbsPMML'. Finally, this package aims to implement the most widely used standard procedures, thus offering a standard package for FRBS modeling to the R community.

r-frheritage 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-sf@1.0-23 r-jsonlite@2.0.0 r-httr2@1.2.1 r-happign@0.3.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=frheritage
Licenses: GPL 3+
Build system: r
Synopsis: R Interface to Get French Heritage Data
Description:

Get spatial vector data from the Atlas du Patrimoine (<http://atlas.patrimoines.culture.fr/atlas/trunk/>), the official national platform of the French Ministry of Culture, and facilitate its use within R geospatial workflows. The package provides functions to list available heritage datasets, query and retrieve heritage data using spatial queries based on user-provided sf objects, perform spatial filtering operations, and return results as sf objects suitable for spatial analysis, mapping, and integration into heritage management and landscape studies.

r-fbrads 17.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/daroczig/fbRads
Licenses: AGPL 3
Build system: r
Synopsis: Analyzing and Managing Facebook Ads from R
Description:

Wrapper functions around the Facebook Marketing API to create, read, update and delete custom audiences, images, campaigns, ad sets, ads and related content.

r-fastwavelets 1.0.1
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/johnswyou/fastWavelets
Licenses: Expat
Build system: r
Synopsis: Compute Maximal Overlap Discrete Wavelet Transform (MODWT) and À Trous Discrete Wavelet Transform
Description:

This package provides a lightweight package to compute Maximal Overlap Discrete Wavelet Transform (MODWT) and à Trous Discrete Wavelet Transform by leveraging the power of Rcpp to make these operations fast. This package was designed for use in forecasting, and allows users avoid the inclusion of future data when performing wavelet decomposition of time series. See Quilty and Adamowski (2018) <doi:10.1016/j.jhydrol.2018.05.003>.

r-fcar 1.5.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/Malaga-FCA-group/fcaR
Licenses: GPL 3
Build system: r
Synopsis: Formal Concept Analysis
Description:

This package provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems. Matrix factorization is provided by the GreConD+ algorithm (Belohlavek and Trneckova, 2024 <doi:10.1109/TFUZZ.2023.3330760>).

r-fritools2 4.1.0
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-fastlogitme 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fastlogitME
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Basic Marginal Effects for Logit Models
Description:

Calculates marginal effects based on logistic model objects such as glm or speedglm at the average (default) or at given values using finite differences. It also returns confidence intervals for said marginal effects and the p-values, which can easily be used as input in stargazer. The function only returns the essentials and is therefore much faster but not as detailed as other functions available to calculate marginal effects. As a result, it is highly suitable for large datasets for which other packages may require too much time or calculating power.

r-forsearch 6.4.0
Dependencies: gmp@6.3.0
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-familiar 1.5.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/alexzwanenburg/familiar
Licenses: FSDG-compatible
Build system: r
Synopsis: End-to-End Automated Machine Learning and Model Evaluation
Description:

Single unified interface for end-to-end modelling of regression, categorical and time-to-event (survival) outcomes. Models created using familiar are self-containing, and their use does not require additional information such as baseline survival, feature clustering, or feature transformation and normalisation parameters. Model performance, calibration, risk group stratification, (permutation) variable importance, individual conditional expectation, partial dependence, and more, are assessed automatically as part of the evaluation process and exported in tabular format and plotted, and may also be computed manually using export and plot functions. Where possible, metrics and values obtained during the evaluation process come with confidence intervals.

r-fairmclus 2.2.1
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-fabci 0.3
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=fabCI
Licenses: GPL 3
Build system: r
Synopsis: FAB Confidence Intervals
Description:

Frequentist assisted by Bayes (FAB) confidence interval construction. See Adaptive multigroup confidence intervals with constant coverage by Yu and Hoff <DOI:10.1093/biomet/asy009> and Exact adaptive confidence intervals for linear regression coefficients by Hoff and Yu <DOI:10.1214/18-EJS1517>.

r-fdatest 2.1.1
Propagated dependencies: r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fdatest
Licenses: GPL 2
Build system: r
Synopsis: Interval Testing Procedure for Functional Data
Description:

Implementation of the Interval Testing Procedure for functional data in different frameworks (i.e., one or two-population frameworks, functional linear models) by means of different basis expansions (i.e., B-spline, Fourier, and phase-amplitude Fourier). The current version of the package requires functional data evaluated on a uniform grid; it automatically projects each function on a chosen functional basis; it performs the entire family of multivariate tests; and, finally, it provides the matrix of the p-values of the previous tests and the vector of the corrected p-values. The functional basis, the coupled or uncoupled scenario, and the kind of test can be chosen by the user. The package provides also a plotting function creating a graphical output of the procedure: the p-value heat-map, the plot of the corrected p-values, and the plot of the functional data.

r-forestgapr 0.1.7
Propagated dependencies: r-viridis@0.6.5 r-vgam@1.1-13 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-sp@2.2-0 r-raster@3.6-32 r-powerlaw@1.0.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=ForestGapR
Licenses: GPL 3
Build system: r
Synopsis: Tropical Forest Canopy Gaps Analysis
Description:

Set of tools for detecting and analyzing Airborne Laser Scanning-derived Tropical Forest Canopy Gaps. Details were published in Silva and others (2019) <doi:10.1111/2041-210X.13211>.

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-forceplate 1.1-5
Propagated dependencies: r-stringi@1.8.7 r-signal@1.8-1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/RaphaelHartmann/forceplate
Licenses: GPL 2+
Build system: r
Synopsis: Processing Force-Plate Data
Description:

Process raw force-plate data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data a baseline correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009) <doi:10.1002/9780470549148>.

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Total results: 69112