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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-forestat 1.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/caf-ifrit/forestat
Licenses: GPL 3+
Build system: r
Synopsis: Forest Carbon Sequestration and Potential Productivity Calculation
Description:

Include assessing site classes based on the stand height growth and establishing a nonlinear mixed-effect biomass model under different site classes based on the whole stand model to achieve more accurate estimation of carbon sequestration. In particular, a carbon sequestration potential productivity calculation method based on the potential mean annual increment is proposed. This package is applicable to both natural forests and plantations. It can quantitatively assess standâ s potential productivity, realized productivity, and possible improvement under certain site, and can be used in many aspects such as site quality assessment, tree species suitability evaluation, and forest degradation evaluation. Reference: Lei X, Fu L, Li H, et al (2018) <doi:10.11707/j.1001-7488.20181213>. Fu L, Sharma R P, Zhu G, et al (2017) <doi:10.3390/f8040119>.

r-flexcwm 1.92
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flexCWM
Licenses: GPL 2
Build system: r
Synopsis: Flexible Cluster-Weighted Modeling
Description:

Allows maximum likelihood fitting of cluster-weighted models, a class of mixtures of regression models with random covariates. Methods are described in Angelo Mazza, Antonio Punzo, Salvatore Ingrassia (2018) <doi:10.18637/jss.v086.i02>.

r-fastjt 1.0.8
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fastJT
Licenses: GPL 2+
Build system: r
Synopsis: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies
Description:

This Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages OpenMP directives for multi-core computing to reduce overall processing time.

r-fullfact 1.5.2
Propagated dependencies: r-lme4@1.1-37 r-afex@1.5-0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fullfact
Licenses: GPL 2+
Build system: r
Synopsis: Full Factorial Breeding Analysis
Description:

We facilitate the analysis of full factorial mating designs with mixed-effects models. The package contains six vignettes containing detailed examples.

r-fastlogisticregressionwrap 1.2.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/kapelner/fastLogisticRegressionWrap
Licenses: GPL 3
Build system: r
Synopsis: Fast Logistic Regression Wrapper
Description:

This package provides very fast logistic regression with coefficient inferences plus other useful methods such as a forward stepwise model generator (see the benchmarks by visiting the github page at the URL below). The inputs are flexible enough to accomodate GPU computations. The coefficient estimation employs the fastLR() method in the RcppNumerical package by Yixuan Qiu et al. This package allows their work to be more useful to a wider community that consumes inference.

r-forestsas 2.0.4
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-data@3.1-9 r-spatstat@3.4-1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=forestSAS
Licenses: GPL 2
Build system: r
Synopsis: Forest Spatial Structure Analysis Systems
Description:

Recent years have seen significant interest in neighborhood-based structural parameters that effectively represent the spatial characteristics of tree populations and forest communities, and possess strong applicability for guiding forestry practices. This package provides valuable information that enhances our understanding and analysis of the fine-scale spatial structure of tree populations and forest stands. Reference: Yan L, Tan W, Chai Z, et al (2019) <doi:10.13323/j.cnki.j.fafu(nat.sci.).2019.03.007>.

r-forplo 0.2.5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=forplo
Licenses: GPL 3
Build system: r
Synopsis: Flexible Forest Plots
Description:

Simplifies the creation and customization of forest plots (alternatively called dot-and-whisker plots). Input classes accepted by forplo are data.frame, matrix, lm, glm, and coxph. forplo was written in base R and does not depend on other packages.

r-faostat 2.4.0
Propagated dependencies: r-rjsonio@2.0.0 r-plyr@1.8.9 r-mass@7.3-65 r-labeling@0.4.3 r-httr@1.4.7 r-data-table@1.17.8 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://gitlab.com/paulrougieux/faostatpackage
Licenses: GPL 2+
Build system: r
Synopsis: Download Data from the FAOSTAT Database
Description:

Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations. A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>) and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.

r-fsm 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FSM
Licenses: GPL 3
Build system: r
Synopsis: Finite Selection Model
Description:

Randomized and balanced allocation of units to treatment groups using the Finite Selection Model (FSM). The FSM was originally proposed and developed at the RAND corporation by Carl Morris to enhance the experimental design for the now famous Health Insurance Experiment. See Morris (1979) <doi:10.1016/0304-4076(79)90053-8> for details on the original version of the FSM.

r-faulttree 1.0.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://www.openreliability.org/fault-tree-analysis-on-r/
Licenses: GPL 3+
Build system: r
Synopsis: Fault Trees for Risk and Reliability Analysis
Description:

Construction, calculation and display of fault trees. Methods derived from Clifton A. Ericson II (2005, ISBN: 9780471739425) <DOI:10.1002/0471739421>, Antoine Rauzy (1993) <DOI:10.1016/0951-8320(93)90060-C>, Tim Bedford and Roger Cooke (2012, ISBN: 9780511813597) <DOI:10.1017/CBO9780511813597>, Nikolaos Limnios, (2007, ISBN: 9780470612484) <DOI: 10.1002/9780470612484>.

r-fuzzylink 0.4.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://joeornstein.github.io/software/fuzzylink/
Licenses: Expat
Build system: r
Synopsis: Probabilistic Record Linkage Using Pretrained Text Embeddings
Description:

Links datasets through fuzzy string matching using pretrained text embeddings. Produces more accurate record linkage when lexical string distance metrics are a poor guide to match quality (e.g., "Patricia" is more lexically similar to "Patrick" than it is to "Trish"). Capable of performing multilingual record linkage. Methods are described in Ornstein (2025) <doi:10.1017/pan.2025.10016>.

r-functansnp 0.1.0
Propagated dependencies: r-mass@7.3-65 r-lava@1.8.2 r-glmnet@4.1-10 r-fundata@1.3-9 r-fda@6.3.0 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FunctanSNP
Licenses: GPL 2+
Build system: r
Synopsis: Functional Analysis (with Interactions) for Dense SNP Data
Description:

An implementation of revised functional regression models for multiple genetic variation data, such as single nucleotide polymorphism (SNP) data, which provides revised functional linear regression models, partially functional interaction regression analysis with penalty-based techniques and corresponding drawing functions, etc.(Ruzong Fan, Yifan Wang, James L. Mills, Alexander F. Wilson, Joan E. Bailey-Wilson, and Momiao Xiong (2013) <doi:10.1002/gepi.21757>).

r-fairml 0.9
Propagated dependencies: r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fairml
Licenses: Expat
Build system: r
Synopsis: Fair Models in Machine Learning
Description:

Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al. (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own approach from Scutari, Panero and Proissl (2022) <doi:10.1007/s11222-022-10143-w> that uses ridge regression to enforce fairness.

r-fipio 1.1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://fipio.justinsingh.me
Licenses: Expat
Build system: r
Synopsis: Lightweight Federal Information Processing System (FIPS) Code Information Retrieval
Description:

This package provides a lightweight suite of functions for retrieving information about 5-digit or 2-digit US FIPS codes.

r-fdapaceshiny 1.0.5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/cpossinger/fdapaceShiny
Licenses: Expat
Build system: r
Synopsis: Shiny App for the 'fdapace' Package
Description:

Shiny app for the fdapace package.

r-fgitr 0.2.0
Dependencies: git@2.52.0
Propagated dependencies: r-httr@1.4.7 r-git2r@0.36.2 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fgitR
Licenses: Expat
Build system: r
Synopsis: Using 'FastGit' to Accelerate the Access to 'GitHub'
Description:

FastGit <https://doc.fastgit.org/> works like a mirror of GitHub to make significant acceleration. fgitR is a package to do git operation with FastGit automatically.

r-fio 1.0.0
Dependencies: xz@5.4.5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://albersonmiranda.github.io/fio/
Licenses: Expat
Build system: r
Synopsis: Friendly Input-Output Analysis
Description:

Simplifies the process of economic input-output analysis by combining user-friendly interfaces with high-performance computation. It provides tools for analyzing both single-region and multi-regional economic systems through a hybrid architecture that pairs R's accessibility with Rust's computational efficiency.

r-fmeffects 0.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://holgstr.github.io/fmeffects/
Licenses: LGPL 3
Build system: r
Synopsis: Model-Agnostic Interpretations with Forward Marginal Effects
Description:

Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and fmeffects computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <doi:10.48550/arXiv.2201.08837>.

r-fnonlinear 4052.83
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-flame 2.1.1
Propagated dependencies: r-gmp@0.7-5 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://almost-matching-exactly.github.io
Licenses: Expat
Build system: r
Synopsis: Interpretable Matching for Causal Inference
Description:

Efficient implementations of the algorithms in the Almost-Matching-Exactly framework for interpretable matching in causal inference. These algorithms match units via a learned, weighted Hamming distance that determines which covariates are more important to match on. For more information and examples, see the Almost-Matching-Exactly website.

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-forecastcombinations 1.1
Propagated dependencies: r-quantreg@6.1 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=ForecastCombinations
Licenses: GPL 2
Build system: r
Synopsis: Forecast Combinations
Description:

Aim: Supports the most frequently used methods to combine forecasts. Among others: Simple average, Ordinary Least Squares, Least Absolute Deviation, Constrained Least Squares, Variance-based, Best Individual model, Complete subset regressions and Information-theoretic (information criteria based).

r-fuzzyq 0.1.0
Propagated dependencies: r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://ligophorus.github.io/FuzzyQ/
Licenses: GPL 3
Build system: r
Synopsis: Fuzzy Quantification of Common and Rare Species
Description:

Fuzzy clustering of species in an ecological community as common or rare based on their abundance and occupancy. It also includes functions to compute confidence intervals of classification metrics and plot results. See Balbuena et al. (2020, <doi:10.1101/2020.08.12.247502>).

r-fincovregularization 1.1.0
Propagated dependencies: r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: http://github.com/yanyachen/FinCovRegularization
Licenses: GPL 2
Build system: r
Synopsis: Covariance Matrix Estimation and Regularization for Finance
Description:

Estimation and regularization for covariance matrix of asset returns. For covariance matrix estimation, three major types of factor models are included: macroeconomic factor model, fundamental factor model and statistical factor model. For covariance matrix regularization, four regularized estimators are included: banding, tapering, hard-thresholding and soft- thresholding. The tuning parameters of these regularized estimators are selected via cross-validation.

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Total results: 69112