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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-flexrsurv 2.0.18
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flexrsurv
Licenses: GPL 2+
Build system: r
Synopsis: Flexible Relative Survival Analysis
Description:

Package for parametric relative survival analyses. It allows to model non-linear and non-proportional effects and both non proportional and non linear effects, using splines (B-spline and truncated power basis), Weighted Cumulative Index of Exposure effect, with correction model for the life table. Both non proportional and non linear effects are described in Remontet, L. et al. (2007) <doi:10.1002/sim.2656> and Mahboubi, A. et al. (2011) <doi:10.1002/sim.4208>.

r-footballpenaltiesbl 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=footballpenaltiesBL
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Penalties in the German Men's Football Bundesliga
Description:

Basic analysis of all penalties taken in the German men's Bundesliga between the start of its inaugural season and May 2017. The main functions are suitable printing and plotting functions. Flexible selection of a player is supported via grep. Missed penalties can easily be included or excluded, depending on the user's wishes.

r-fru 0.0.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://gitlab.com/mbq/fru
Licenses: GPL 3
Build system: r
Synopsis: Blazing Fast Implementation of Random Forest
Description:

Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.

r-fitodbod 1.5.5
Propagated dependencies: r-rdpack@2.6.4 r-mvtnorm@1.3-3 r-mass@7.3-65 r-hypergeo@1.2-14 r-bbmle@1.0.25.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/Amalan-ConStat/fitODBOD
Licenses: Expat
Build system: r
Synopsis: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description:

This package contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).

r-fhmm 1.4.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://loelschlaeger.de/fHMM/
Licenses: GPL 3
Build system: r
Synopsis: Fitting Hidden Markov Models to Financial Data
Description:

Fitting (hierarchical) hidden Markov models to financial data via maximum likelihood estimation. See Oelschläger, L. and Adam, T. "Detecting Bearish and Bullish Markets in Financial Time Series Using Hierarchical Hidden Markov Models" (2021, Statistical Modelling) <doi:10.1177/1471082X211034048> for a reference on the method. A user guide is provided by the accompanying software paper "fHMM: Hidden Markov Models for Financial Time Series in R", Oelschläger, L., Adam, T., and Michels, R. (2024, Journal of Statistical Software) <doi:10.18637/jss.v109.i09>.

r-fdapoifd 2.0.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/aefdz/fdaPOIFD
Licenses: GPL 3
Build system: r
Synopsis: Partially Observed Integrated Functional Depth
Description:

Integrated Functional Depth for Partially Observed Functional Data and applications to visualization, outlier detection and classification. It implements the methods proposed in: Elà as, A., Jiménez, R., Paganoni, A. M. and Sangalli, L. M., (2023), "Integrated Depth for Partially Observed Functional Data", Journal of Computational and Graphical Statistics, <doi:10.1080/10618600.2022.2070171>. Elà as, A., Jiménez, R., & Shang, H. L. (2023), "Depth-based reconstruction method for incomplete functional data", Computational Statistics, <doi:10.1007/s00180-022-01282-9>. Elà as, A., Nagy, S. (2024), "Statistical properties of partially observed integrated functional depths", TEST, <doi:10.1007/s11749-024-00954-6>.

r-forward 1.0.7
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=forward
Licenses: GPL 2
Build system: r
Synopsis: Robust Analysis using Forward Search
Description:

Robust analysis using forward search in linear and generalized linear regression models, as described in Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer.

r-fishrman 1.2.3
Propagated dependencies: r-viridis@0.6.5 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-sf@1.0-23 r-maps@3.4.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-golem@0.5.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-countrycode@1.6.1 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/Shyentist/fish-r-man
Licenses: AGPL 3+
Build system: r
Synopsis: The Fisheries Scientist's Toolbox
Description:

This package provides a bundle of analytics tools for fisheries scientists. A shiny R App is included for a no-code solution for retrieval, analysis, and visualization.

r-fpopw 1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fpopw
Licenses: GPL 3+
Build system: r
Synopsis: Weighted Segmentation using Functional Pruning and Optimal Partioning
Description:

Weighted-L2 FPOP Maidstone et al. (2017) <doi:10.1007/s11222-016-9636-3> and pDPA/FPSN Rigaill (2010) <arXiv:1004.0887> algorithm for detecting multiple changepoints in the mean of a vector. Also includes a few model selection functions using Lebarbier (2005) <doi:10.1016/j.sigpro.2004.11.012> and the capsushe package.

r-frab 0.0-6
Propagated dependencies: r-rcpp@1.1.0 r-disordr@0.9-8-5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/RobinHankin/frab
Licenses: GPL 2+
Build system: r
Synopsis: How to Add Two R Tables
Description:

This package provides methods to "add" two R tables; also an alternative interpretation of named vectors as generalized R tables, so that c(a=1,b=2,c=3) + c(b=3,a=-1) will return c(b=5,c=3). Uses disordR discipline (Hankin, 2022, <doi:10.48550/arXiv.2210.03856>). Extraction and replacement methods are provided. The underlying mathematical structure is the Free Abelian group, hence the name. To cite in publications please use Hankin (2023) <doi:10.48550/arXiv.2307.13184>.

r-featureimpcluster 0.1.5
Propagated dependencies: r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FeatureImpCluster
Licenses: GPL 3
Build system: r
Synopsis: Feature Importance for Partitional Clustering
Description:

This package implements a novel approach for measuring feature importance in k-means clustering. Importance of a feature is measured by the misclassification rate relative to the baseline cluster assignment due to a random permutation of feature values. An explanation of permutation feature importance in general can be found here: <https://christophm.github.io/interpretable-ml-book/feature-importance.html>.

r-fastpls 0.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fastPLS
Licenses: GPL 3
Build system: r
Synopsis: Fast Implementation of Partial Least Square
Description:

An implementation in Rcpp / RcppArmadillo of Partial Least Square algorithms. This package includes other functions to perform the double cross-validation and a fast correlation.

r-flan 1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://www.r-project.org
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: FLuctuation ANalysis on Mutation Models
Description:

This package provides tools for fluctuations analysis of mutant cells counts. Main reference is A. Mazoyer, R. Drouilhet, S. Despreaux and B. Ycart (2017) <doi:10.32614/RJ-2017-029>.

r-firebase 1.0.2
Propagated dependencies: r-shiny@1.11.1 r-openssl@2.3.4 r-jsonlite@2.0.0 r-jose@1.2.1 r-htmltools@0.5.8.1 r-cli@3.6.5 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://firebase.john-coene.com/
Licenses: AGPL 3
Build system: r
Synopsis: Integrates 'Google Firebase' Authentication Storage, and 'Analytics' with 'Shiny'
Description:

Authenticate users in Shiny applications using Google Firebase with any of the many methods provided; email and password, email link, or using a third-party provider such as Github', Twitter', or Google'. Use Firebase Storage to store files securely, and leverage Firebase Analytics to easily log events and better understand your audience.

r-findgsep 1.2.0
Propagated dependencies: r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-pracma@2.4.6 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/sperfu/findGSEP
Licenses: GPL 2+
Build system: r
Synopsis: Estimate Genome Size of Polyploid Species Using k-Mer Frequencies
Description:

This package provides tools to estimate the genome size of polyploid species using k-mer frequencies. This package includes functions to process k-mer frequency data and perform genome size estimation by fitting k-mer frequencies with a normal distribution model. It supports handling of complex polyploid genomes and offers various options for customizing the estimation process. The basic method findGSE is detailed in Sun, Hequan, et al. (2018) <doi:10.1093/bioinformatics/btx637>.

r-fslr 2.27.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fslr
Licenses: GPL 3
Build system: r
Synopsis: Wrapper Functions for 'FSL' ('FMRIB' Software Library) from Functional MRI of the Brain ('FMRIB')
Description:

Wrapper functions that interface with FSL <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>, a powerful and commonly-used neuroimaging software, using system commands. The goal is to be able to interface with FSL completely in R, where you pass R objects of class nifti', implemented by package oro.nifti', and the function executes an FSL command and returns an R object of class nifti if desired.

r-fcvar 0.1.4
Propagated dependencies: r-pracma@2.4.6 r-fracdist@0.1.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/LeeMorinUCF/FCVAR
Licenses: GPL 3
Build system: r
Synopsis: Estimation and Inference for the Fractionally Cointegrated VAR
Description:

Estimation and inference using the Fractionally Cointegrated Vector Autoregressive (VAR) model. It includes functions for model specification, including lag selection and cointegration rank selection, as well as a comprehensive set of options for hypothesis testing, including tests of hypotheses on the cointegrating relations, the adjustment coefficients and the fractional differencing parameters. An article describing the FCVAR model with examples is available on the Webpage <https://sites.google.com/view/mortennielsen/software>.

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-fdth 1.3-0
Propagated dependencies: r-xtable@1.8-4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/jcfaria/fdth
Licenses: GPL 2+
Build system: r
Synopsis: Frequency Distribution Tables, Histograms and Polygons
Description:

Perform frequency distribution tables, associated histograms and polygons from vector, data.frame and matrix objects for numerical and categorical variables.

r-fabletools 0.6.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://fabletools.tidyverts.org/
Licenses: GPL 3
Build system: r
Synopsis: Core Tools for Packages in the 'fable' Framework
Description:

This package provides tools, helpers and data structures for developing models and time series functions for fable and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.

r-fmm 0.4.1
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/FMMGroupVa/FMM-base-R-package
Licenses: GPL 2+
Build system: r
Synopsis: Rhythmic Patterns Modeling by FMM Models
Description:

This package provides a collection of functions to fit and explore single, multi-component and restricted Frequency Modulated Moebius (FMM) models. FMM is a nonlinear parametric regression model capable of fitting non-sinusoidal shapes in rhythmic patterns. Details about the mathematical formulation of FMM models can be found in Rueda et al. (2019) <doi:10.1038/s41598-019-54569-1>.

r-fdacluster 0.4.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://astamm.github.io/fdacluster/
Licenses: GPL 3+
Build system: r
Synopsis: Joint Clustering and Alignment of Functional Data
Description:

Implementations of the k-means, hierarchical agglomerative and DBSCAN clustering methods for functional data which allows for jointly aligning and clustering curves. It supports functional data defined on one-dimensional domains but possibly evaluating in multivariate codomains. It supports functional data defined in arrays but also via the fd and funData classes for functional data defined in the fda and funData packages respectively. It currently supports shift, dilation and affine warping functions for functional data defined on the real line and uses the SRVF framework to handle boundary-preserving warping for functional data defined on a specific interval. Main reference for the k-means algorithm: Sangalli L.M., Secchi P., Vantini S., Vitelli V. (2010) "k-mean alignment for curve clustering" <doi:10.1016/j.csda.2009.12.008>. Main reference for the SRVF framework: Tucker, J. D., Wu, W., & Srivastava, A. (2013) "Generative models for functional data using phase and amplitude separation" <doi:10.1016/j.csda.2012.12.001>.

r-fdesigns 1.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fdesigns
Licenses: GPL 2
Build system: r
Synopsis: Optimal Experimental Designs for Dynamic/Functional Models
Description:

Optimal experimental designs for functional linear and functional generalised linear models, for scalar responses and profile/dynamic factors. The designs are optimised using the coordinate exchange algorithm. The methods are discussed by Michaelides (2023) <https://eprints.soton.ac.uk/474982/1/Thesis_DamianosMichaelides_Final_pdfa_1_.pdf>.

r-fsn 0.4
Propagated dependencies: r-rfast@2.1.5.2
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fsn
Licenses: GPL 2+
Build system: r
Synopsis: Rosenthal's Fail Safe Number and Related Functions
Description:

Estimation of Rosenthal's fail safe number including confidence intervals. The relevant papers are the following. Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2014). "Publication Bias in Meta-Analysis: Confidence Intervals for Rosenthal's Fail-Safe Number". International Scholarly Research Notices, Volume 2014. <doi:10.1155/2014/825383>. Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2017). "Exploring the distribution for the estimator of Rosenthal's fail-safe number of unpublished studies in meta-analysis". Communications in Statistics-Theory and Methods, 46(11):5672--5684. <doi:10.1080/03610926.2015.1109664>.

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