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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-fdx 2.0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-poissonbinomial@1.2.7 r-lifecycle@1.0.4 r-discretefdr@2.1.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/DISOhda/FDX
Licenses: GPL 3
Build system: r
Synopsis: False Discovery Exceedance Controlling Multiple Testing Procedures
Description:

Multiple testing procedures for heterogeneous and discrete tests as described in Döhler and Roquain (2020) <doi:10.1214/20-EJS1771>. The main algorithms of the paper are available as continuous, discrete and weighted versions. They take as input the results of a test procedure from package DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with wrappers allowing to apply discrete procedures directly to data.

r-fastpls 0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4
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-forecaster 3.0.2
Propagated dependencies: r-zoo@1.8-14 r-stringr@1.6.0 r-shinyjs@2.1.0 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shinycustomloader@0.9.0 r-shinyace@0.4.4 r-shiny@1.11.1 r-rlang@1.1.6 r-lubridate@1.9.4 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-golem@0.5.1 r-forecast@8.24.0 r-echarts4r@0.4.6 r-dt@0.34.0 r-config@0.3.2 r-colourpicker@1.3.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://promidat.website
Licenses: GPL 2+
Build system: r
Synopsis: Time Series Forecast System
Description:

This package provides a web application for displaying, analysing and forecasting univariate time series. Includes basic methods such as mean, naïve, seasonal naïve and drift, as well as more complex methods such as Holt-Winters Box,G and Jenkins, G (1976) <doi:10.1111/jtsa.12194> and ARIMA Brockwell, P.J. and R.A.Davis (1991) <doi:10.1007/978-1-4419-0320-4>.

r-fardeep 1.0.1
Propagated dependencies: r-preprocesscore@1.72.0 r-nnls@1.6
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=FARDEEP
Licenses: Expat
Build system: r
Synopsis: Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares
Description:

Using the idea of least trimmed square, it could automatically detects and removes outliers from data before estimating the coefficients. It is a robust machine learning tool which can be applied to gene-expression deconvolution technique. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei and Yuying Xie (2019) <doi:10.1101/358366>.

r-fireexposur 1.2.0
Propagated dependencies: r-tmap@4.2 r-tidyterra@1.0.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-terra@1.8-86 r-sf@1.0-23 r-rlang@1.1.6 r-multiscaledtm@1.0.1 r-maptiles@0.11.0 r-magrittr@2.0.4 r-ggspatial@1.1.10 r-ggplot2@4.0.1 r-geosphere@1.5-20 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/ropensci/fireexposuR
Licenses: GPL 3+
Build system: r
Synopsis: Compute and Visualize Wildfire Exposure
Description:

This package provides methods for computing and visualizing wildfire ignition exposure and directional vulnerability that are published in a series of scientific publications are automated by the functions in this package. See Beverly et al. (2010) <doi:10.1071/WF09071>, Beverly et al. (2021) <doi:10.1007/s10980-020-01173-8>, and Beverly and Forbes (2023) <doi:10.1007/s11069-023-05885-3> for background and methodology.

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-frequentistssd 0.1.1
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=frequentistSSD
Licenses: GPL 2
Build system: r
Synopsis: Screened Selection Design with Survival Endpoints
Description:

This package provides a study based on the screened selection design (SSD) is an exploratory phase II randomized trial with two or more arms but without concurrent control. The primary aim of the SSD trial is to pick a desirable treatment arm (e.g., in terms of the median survival time) to recommend to the subsequent randomized phase IIb (with the concurrent control) or phase III. Though The survival endpoint is often encountered in phase II trials, the existing SSD methods cannot deal with the survival endpoint. Furthermore, the existing SSD wonâ t control the type I error rate. The proposed designs can â partiallyâ control or provide the empirical type I error/false positive rate by an optimal algorithm (implemented by the optimal() function) for each arm. All the design needed components (sample size, operating characteristics) are supported.

r-fastrg 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tidygraph@1.3.1 r-tibble@3.3.0 r-rspectra@0.16-2 r-rlang@1.1.6 r-matrix@1.7-4 r-igraph@2.2.1 r-glue@1.8.0 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://rohelab.github.io/fastRG/
Licenses: Expat
Build system: r
Synopsis: Sample Generalized Random Dot Product Graphs in Linear Time
Description:

Samples generalized random product graphs, a generalization of a broad class of network models. Given matrices X, S, and Y with with non-negative entries, samples a matrix with expectation X S Y^T and independent Poisson or Bernoulli entries using the fastRG algorithm of Rohe et al. (2017) <https://www.jmlr.org/papers/v19/17-128.html>. The algorithm first samples the number of edges and then puts them down one-by-one. As a result it is O(m) where m is the number of edges, a dramatic improvement over element-wise algorithms that which require O(n^2) operations to sample a random graph, where n is the number of nodes.

r-facmodcs 1.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tseries@0.10-58 r-sn@2.1.1 r-robustbase@0.99-6 r-robstattm@1.0.11 r-performanceanalytics@2.0.8 r-lattice@0.22-7 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/robustport/facmodCS
Licenses: GPL 2
Build system: r
Synopsis: Cross-Section Factor Models
Description:

Linear cross-section factor model fitting with least-squares and robust fitting the lmrobdetMM() function from RobStatTM'; related volatility, Value at Risk and Expected Shortfall risk and performance attribution (factor-contributed vs idiosyncratic returns); tabular displays of risk and performance reports; factor model Monte Carlo. The package authors would like to thank Chicago Research on Security Prices,LLC for the cross-section of about 300 CRSP stocks data (in the data.table object stocksCRSP', and S&P GLOBAL MARKET INTELLIGENCE for contributing 14 factor scores (a.k.a "alpha factors".and "factor exposures") fundamental data on the 300 companies in the data.table object factorSPGMI'. The stocksCRSP and factorsSPGMI data are not covered by the GPL-2 license, are not provided as open source of any kind, and they are not to be redistributed in any form.

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-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-funitroots 4052.82
Propagated dependencies: r-urca@1.3-4 r-timeseries@4041.111 r-fbasics@4041.97
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://geobosh.github.io/fUnitRootsDoc/
Licenses: GPL 2+
Build system: r
Synopsis: Rmetrics - Modelling Trends and Unit Roots
Description:

This package provides four addons for analyzing trends and unit roots in financial time series: (i) functions for the density and probability of the augmented Dickey-Fuller Test, (ii) functions for the density and probability of MacKinnon's unit root test statistics, (iii) reimplementations for the ADF and MacKinnon Test, and (iv) an urca Unit Root Test Interface for Pfaff's unit root test suite.

r-flsa 1.5.5
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=flsa
Licenses: GPL 2
Build system: r
Synopsis: Path Algorithm for the General Fused Lasso Signal Approximator
Description:

This package implements a path algorithm for the Fused Lasso Signal Approximator. For more details see the help files or the article by Hoefling (2009) <arXiv:0910.0526>.

r-funprog 0.3.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://py_b.gitlab.io/funprog
Licenses: GPL 2
Build system: r
Synopsis: Functional Programming
Description:

High-order functions for data manipulation : sort or group data, given one or more auxiliary functions. Functions are inspired by other pure functional programming languages ('Haskell mainly). The package also provides built-in function operators for creating compact anonymous functions, as well as the possibility to use the purrr package syntax.

r-fcopulae 4022.85
Propagated dependencies: r-timeseries@4041.111 r-timedate@4051.111 r-fmultivar@4031.84 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 - Bivariate Dependence Structures with Copulae
Description:

This package provides a collection of functions to manage, to investigate and to analyze bivariate financial returns by Copulae. Included are the families of Archemedean, Elliptical, Extreme Value, and Empirical Copulae.

r-foci 0.1.3
Propagated dependencies: r-rann@2.6.2 r-proxy@0.4-27 r-gmp@0.7-5 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=FOCI
Licenses: GPL 3
Build system: r
Synopsis: Feature Ordering by Conditional Independence
Description:

Feature Ordering by Conditional Independence (FOCI) is a variable selection algorithm based on the measure of conditional dependence. For more information, see the paper: Azadkia and Chatterjee (2019),"A simple measure of conditional dependence" <arXiv:1910.12327>.

r-fproc 0.1.0
Dependencies: tbb@2021.6.0
Propagated dependencies: r-terra@1.8-86 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://luismurao.github.io/fpROC/
Licenses: GPL 3
Build system: r
Synopsis: Fast Partial Receiver Operating Characteristic (ROC) Test for Ecological Niche Modeling
Description:

This package provides optimized C++ code for computing the partial Receiver Operating Characteristic (ROC) test used in niche and species distribution modeling. The implementation follows Peterson et al. (2008) <doi:10.1016/j.ecolmodel.2007.11.008>. Parallelization via OpenMP was implemented with assistance from the DeepSeek Artificial Intelligence Assistant (<https://www.deepseek.com/>).

r-fkf-sp 0.3.4
Propagated dependencies: r-mathjaxr@1.8-0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/TomAspinall/FKF.SP
Licenses: GPL 3
Build system: r
Synopsis: Fast Kalman Filtering Through Sequential Processing
Description:

Fast and flexible Kalman filtering and smoothing implementation utilizing sequential processing, designed for efficient parameter estimation through maximum likelihood estimation. Sequential processing is a univariate treatment of a multivariate series of observations and can benefit from computational efficiency over traditional Kalman filtering when independence is assumed in the variance of the disturbances of the measurement equation. Sequential processing is described in the textbook of Durbin and Koopman (2001, ISBN:978-0-19-964117-8). FKF.SP was built upon the existing FKF package and is, in general, a faster Kalman filter/smoother.

r-fcar 1.3.0
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-settings@0.2.7 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-registry@0.5-1 r-rcpp@1.1.0 r-r6@2.6.1 r-purrr@1.2.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-igraph@2.2.1 r-glue@1.8.0 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-cli@3.6.5 r-bh@1.87.0-1
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-fermicatsr 1.4
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/sazpark/fermicatsR.git
Licenses: CC0
Build system: r
Synopsis: Fermi Large Area Telescope Catalogs
Description:

Data from various catalogs of astrophysical gamma-ray sources detected by NASA's Large Area Telescope (The Astrophysical Journal, 697, 1071, 2009 June 1), on board the Fermi gamma-ray satellite. More information on Fermi and its data products is available from the Fermi Science Support Center (http://fermi.gsfc.nasa.gov/ssc/).

r-fextremes 4032.84
Propagated dependencies: r-timeseries@4041.111 r-timedate@4051.111 r-fgarch@4052.93 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 - Modelling Extreme Events in Finance
Description:

This package provides functions for analysing and modelling extreme events in financial time Series. The topics include: (i) data pre-processing, (ii) explorative data analysis, (iii) peak over threshold modelling, (iv) block maxima modelling, (v) estimation of VaR and CVaR, and (vi) the computation of the extreme index.

r-facilityepimath 0.2.1
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/EpiForeSITE/facilityepimath
Licenses: Expat
Build system: r
Synopsis: Analyze Mathematical Models of Healthcare Facility Transmission
Description:

Calculate useful quantities for a user-defined differential equation model of infectious disease transmission among individuals in a healthcare facility. Input rates of transition between states of individuals with and without the disease-causing organism, distributions of states at facility admission, relative infectivity of transmissible states, and the facility length of stay distribution. Calculate the model equilibrium and the basic facility reproduction number, as described in Toth et al. (2025) <doi:10.1371/journal.pcbi.1013577>.

r-fcp 0.1.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://github.com/xiaoran831213/R_fun_comp
Licenses: GPL 2+
Build system: r
Synopsis: Function Composition
Description:

This package provides a function composition operator to chain a series of calls into a single function, mimicking the math notion of (f o g o h)(x) = h(g(f(x))). Inspired by pipeOp ('|>') since R4.1 and magrittr pipe ('%>%'), the operator build a pipe without putting data through, which is best for anonymous function accepted by utilities such as apply() and lapply().

r-frbinom 1.0.0
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=frbinom
Licenses: Expat
Build system: r
Synopsis: Fractional Binomial Distributions
Description:

Generating fractional binomial random variables and computing density, cumulative distribution, and quantiles of fractional binomial distributions. (Lee, J. (2023) <arXiv:2209.01516>.).

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