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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-funrar 1.5.0
Propagated dependencies: r-matrix@1.7-4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://rekyt.github.io/funrar/
Licenses: GPL 2+
Build system: r
Synopsis: Functional Rarity Indices Computation
Description:

Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity. funrar is presented in Grenié et al. (2017) <doi:10.1111/ddi.12629>.

r-fmpcloudr 0.1.5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://exploringfinance.github.io/fmpcloudr/
Licenses: GPL 3
Build system: r
Synopsis: R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API
Description:

Use R to access to the FMP Cloud API <https://fmpcloud.io/> and Financial Modeling Prep API <https://financialmodelingprep.com/developer/docs/>. Data available includes stock prices, market indexes, company fundamentals, 13F holdings data, and much more. A valid API token must be set to enable functions.

r-filternhp 0.1.2
Propagated dependencies: r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-rclipboard@0.2.1 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=filterNHP
Licenses: AGPL 3+
Build system: r
Synopsis: Non-Human Primate Search Filters
Description:

Generate search filters to query scientific bibliographic sources, such as PubMed and Web of Science, for non-human primate related publications.

r-fcuk 0.2.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://thinkr-open.github.io/fcuk/
Licenses: GPL 3
Build system: r
Synopsis: The Ultimate Helper for Clumsy Fingers
Description:

Automatically suggests a correction when a typo occurs.

r-fastnaivebayes 2.2.1
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/mskogholt/fastNaiveBayes
Licenses: GPL 3
Build system: r
Synopsis: Extremely Fast Implementation of a Naive Bayes Classifier
Description:

This is an extremely fast implementation of a Naive Bayes classifier. This package is currently the only package that supports a Bernoulli distribution, a Multinomial distribution, and a Gaussian distribution, making it suitable for both binary features, frequency counts, and numerical features. Another feature is the support of a mix of different event models. Only numerical variables are allowed, however, categorical variables can be transformed into dummies and used with the Bernoulli distribution. The implementation is largely based on the paper "A comparison of event models for Naive Bayes anti-spam e-mail filtering" written by K.M. Schneider (2003) <doi:10.3115/1067807.1067848>. Any issues can be submitted to: <https://github.com/mskogholt/fastNaiveBayes/issues>.

r-finetune 1.2.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/tidymodels/finetune
Licenses: Expat
Build system: r
Synopsis: Additional Functions for Model Tuning
Description:

The ability to tune models is important. finetune enhances the tune package by providing more specialized methods for finding reasonable values of model tuning parameters. Two racing methods described by Kuhn (2014) <doi:10.48550/arXiv.1405.6974> are included. An iterative search method using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986) <doi:10.1080/00401706.1986.10488128> is also included.

r-forestfit 2.4.3
Propagated dependencies: r-pracma@2.4.6 r-ars@0.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=ForestFit
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Modelling for Plant Size Distributions
Description:

Developed for the following tasks. 1 ) Computing the probability density function, cumulative distribution function, random generation, and estimating the parameters of the eleven mixture models. 2 ) Point estimation of the parameters of two - parameter Weibull distribution using twelve methods and three - parameter Weibull distribution using nine methods. 3 ) The Bayesian inference for the three - parameter Weibull distribution. 4 ) Estimating parameters of the three - parameter Birnbaum - Saunders, generalized exponential, and Weibull distributions fitted to grouped data using three methods including approximated maximum likelihood, expectation maximization, and maximum likelihood. 5 ) Estimating the parameters of the gamma, log-normal, and Weibull mixture models fitted to the grouped data through the EM algorithm, 6 ) Estimating parameters of the nonlinear height curve fitted to the height - diameter observation, 7 ) Estimating parameters, computing probability density function, cumulative distribution function, and generating realizations from gamma shape mixture model introduced by Venturini et al. (2008) <doi:10.1214/07-AOAS156> , 8 ) The Bayesian inference, computing probability density function, cumulative distribution function, and generating realizations from univariate and bivariate Johnson SB distribution, 9 ) Robust multiple linear regression analysis when error term follows skewed t distribution, 10 ) Estimating parameters of a given distribution fitted to grouped data using method of maximum likelihood, and 11 ) Estimating parameters of the Johnson SB distribution through the Bayesian, method of moment, conditional maximum likelihood, and two - percentile method.

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-framecleaner 0.2.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://harrison4192.github.io/framecleaner/
Licenses: Expat
Build system: r
Synopsis: Clean Data Frames
Description:

This package provides a friendly interface for modifying data frames with a sequence of piped commands built upon the tidyverse Wickham et al., (2019) <doi:10.21105/joss.01686> . The majority of commands wrap dplyr mutate statements in a convenient way to concisely solve common issues that arise when tidying small to medium data sets. Includes smart defaults and allows flexible selection of columns via tidyselect'.

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-funchisq 2.5.4
Propagated dependencies: r-rdpack@2.6.4 r-rcpp@1.1.0 r-dqrng@0.4.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://www.cs.nmsu.edu/~joemsong/publications/
Licenses: LGPL 3+
Build system: r
Synopsis: Model-Free Functional Chi-Squared and Exact Tests
Description:

Statistical hypothesis testing methods for inferring model-free functional dependency using asymptotic chi-squared or exact distributions. Functional test statistics are asymmetric and functionally optimal, unique from other related statistics. Tests in this package reveal evidence for causality based on the causality-by- functionality principle. They include asymptotic functional chi-squared tests (Zhang & Song 2013) <doi:10.48550/arXiv.1311.2707>, an adapted functional chi-squared test (Kumar & Song 2022) <doi:10.1093/bioinformatics/btac206>, and an exact functional test (Zhong & Song 2019) <doi:10.1109/TCBB.2018.2809743> (Nguyen et al. 2020) <doi:10.24963/ijcai.2020/372>. The normalized functional chi-squared test was used by Best Performer NMSUSongLab in HPN-DREAM (DREAM8) Breast Cancer Network Inference Challenges (Hill et al. 2016) <doi:10.1038/nmeth.3773>. A function index (Zhong & Song 2019) <doi:10.1186/s12920-019-0565-9> (Kumar et al. 2018) <doi:10.1109/BIBM.2018.8621502> derived from the functional test statistic offers a new effect size measure for the strength of functional dependency, a better alternative to conditional entropy in many aspects. For continuous data, these tests offer an advantage over regression analysis when a parametric functional form cannot be assumed; for categorical data, they provide a novel means to assess directional dependency not possible with symmetrical Pearson's chi-squared or Fisher's exact tests.

r-fido 1.1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://jsilve24.github.io/fido/
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Multinomial Logistic Normal Regression
Description:

This package provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. fido replaces the previous package stray'.

r-franc 1.1.4
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/gaborcsardi/franc#readme
Licenses: Expat
Build system: r
Synopsis: Detect the Language of Text
Description:

With no external dependencies and support for 335 languages; all languages spoken by more than one million speakers. Franc is a port of the JavaScript project of the same name, see <https://github.com/wooorm/franc>.

r-finto 0.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://fennicahub.github.io/finto/
Licenses: FreeBSD
Build system: r
Synopsis: Access the 'Finto' API
Description:

Access and retrieve vocabulary data Finto API <https://api.finto.fi/>, which is a centralized service for interoperable thesauri, ontology and classification schemes for different subject areas.

r-fee 1.0.0
Propagated dependencies: r-oneinfl@1.0.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fee
Licenses: GPL 3+
Build system: r
Synopsis: Estimate the First-Exposure Effect (FEE) using Count Data Models
Description:

Estimates the first-exposure effect (FEE) using a one-inflated positive Poisson model, or a one-inflated zero-truncated negative binomial model. In addition, estimates the marginal FEE, and standard errors for the FEE and marginal FEE.

r-fportfolio 4023.84
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://r-forge.r-project.org/projects/rmetrics/
Licenses: GPL 2+
Build system: r
Synopsis: Rmetrics - Portfolio Selection and Optimization
Description:

This package provides a collection of functions to optimize portfolios and to analyze them from different points of view.

r-fishkirkko2015 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fishkirkko2015
Licenses: GPL 3+
Build system: r
Synopsis: Dataset of Measurements of Fish Species at Kirkkojarvi Lake, Finland
Description:

Dataset of 302 measurements of 11 fish species to accompany the manuscript "Length-weight relationships of six freshwater fish species from lake Kirkkojarvi, Finland".

r-fanyi 0.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/YuLab-SMU/fanyi
Licenses: Artistic License 2.0
Build system: r
Synopsis: Translate Words or Sentences via Online Translators
Description:

Useful functions to translate text for multiple languages using online translators. For example, by translating error messages and descriptive analysis results into a language familiar to the user, it enables a better understanding of the information, thereby reducing the barriers caused by language. It offers several helper functions to query gene information to help interpretation of interested genes (e.g., marker genes, differential expression genes), and provides utilities to translate ggplot graphics. This package is not affiliated with any of the online translators. The developers do not take responsibility for the invoice it incurs when using this package, especially for exceeding the free quota.

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-fablecount 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fableCount
Licenses: Expat
Build system: r
Synopsis: INGARCH and GLARMA Models for Count Time Series in Fable Framework
Description:

This package provides a tidy R interface for count time series analysis. It includes implementation of the INGARCH (Integer Generalized Autoregressive Conditional Heteroskedasticity) model from the tscount package and the GLARMA (Generalized Linear Autoregressive Moving Averages) model from the glarma package. Additionally, it offers automated parameter selection algorithms based on the minimization of a penalized likelihood.

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-fmriqa 0.5.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fmriqa
Licenses: GPL 3
Build system: r
Synopsis: Functional MRI Quality Assurance Routines
Description:

This package provides methods for performing fMRI quality assurance (QA) measurements of test objects. Heavily based on the fBIRN procedures detailed by Friedman and Glover (2006) <doi:10.1002/jmri.20583>.

r-flexcountreg 0.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://jwood-iastate.github.io/flexCountReg/
Licenses: Expat
Build system: r
Synopsis: Estimation of a Variety of Count Regression Models
Description:

An implementation of multiple regression models for count data. These include various forms of the negative binomial (NB-1, NB-2, NB-P, generalized negative binomial, etc.), Poisson-Lognormal, other compound Poisson distributions, the Generalized Waring model, etc. Information on the different forms of the negative binomial are described by Greene (2008) <doi:10.1016/j.econlet.2007.10.015>. For treatises on count models, see Cameron and Trivedi (2013) <doi:10.1017/CBO9781139013567> and Hilbe (2012) <doi:10.1017/CBO9780511973420>. For the implementation of under-reporting in count models, see Wood et al. (2016) <doi:10.1016/j.aap.2016.06.013>. For prediction methods in random parameter models, see Wood and Gayah (2025) <doi:10.1016/j.aap.2025.108147>. For estimating random parameters using maximum simulated likelihood, see Greene and Hill (2010) <doi:10.1108/S0731-9053(2010)26>; Gourieroux and Monfort (1996) <doi:10.1093/0198774753.001.0001>; or Hensher et al. (2015) <doi:10.1017/CBO9781316136232>.

r-flip 2.5.1
Propagated dependencies: r-somemtp@1.4.1.1 r-plyr@1.8.9 r-e1071@1.7-16 r-cherry@0.6-15
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flip
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Permutation Tests
Description:

It implements many univariate and multivariate permutation (and rotation) tests. Allowed tests: the t one and two samples, ANOVA, linear models, Chi Squared test, rank tests (i.e. Wilcoxon, Mann-Whitney, Kruskal-Wallis), Sign test and Mc Nemar. Test on Linear Models are performed also in presence of covariates (i.e. nuisance parameters). The permutation and the rotation methods to get the null distribution of the test statistics are available. It also implements methods for multiplicity control such as Westfall & Young minP procedure and Closed Testing (Marcus, 1976) and k-FWER. Moreover, it allows to test for fixed effects in mixed effects models.

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Total results: 69112