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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-bar 0.1.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BAR
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Adaptive Randomization
Description:

Bayesian adaptive randomization is also called outcome adaptive randomization, which is increasingly used in clinical trials.

r-breeze 0.4-4
Propagated dependencies: r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/chgrl/bReeze
Licenses: Expat
Build system: r
Synopsis: Functions for Wind Resource Assessment
Description:

This package provides a collection of functions to analyse, visualize and interpret wind data and to calculate the potential energy production of wind turbines.

r-bioinsight 0.3.1
Propagated dependencies: r-wordcloud@2.6 r-rcolorbrewer@1.1-3 r-limma@3.66.0 r-knitr@1.50 r-edger@4.8.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BioInsight
Licenses: GPL 2+
Build system: r
Synopsis: Filter and Plot RNA Biotypes
Description:

Analyze and plot the abundance of different RNA biotypes present in a count matrix, this evaluation can be useful if you want to test different strategies of normalization or analyze a particular biotype in a differential gene expression analysis.

r-bcd 0.1.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/mnrzrad/BCD
Licenses: GPL 2+
Build system: r
Synopsis: Bivariate Distributions via Conditional Specification
Description:

Implementation of bivariate binomial, geometric, and Poisson distributions based on conditional specifications. The package also includes tools for data generation and goodness-of-fit testing for these three distribution families. For methodological details, see Ghosh, Marques, and Chakraborty (2025) <doi:10.1080/03610926.2024.2315294>, Ghosh, Marques, and Chakraborty (2023) <doi:10.1080/03610918.2021.2004419>, and Ghosh, Marques, and Chakraborty (2021) <doi:10.1080/02664763.2020.1793307>.

r-bvar 1.0.5
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/nk027/bvar
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Hierarchical Bayesian Vector Autoregression
Description:

Estimation of hierarchical Bayesian vector autoregressive models following Kuschnig & Vashold (2021) <doi:10.18637/jss.v100.i14>. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015) <doi:10.1162/REST_a_00483>. Functions to compute and identify impulse responses, calculate forecasts, forecast error variance decompositions and scenarios are available. Several methods to print, plot and summarise results facilitate analysis.

r-bannercommenter 1.0.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bannerCommenter
Licenses: GPL 2+
Build system: r
Synopsis: Make Banner Comments with a Consistent Format
Description:

This package provides a convenience package for use while drafting code. It facilitates making stand-out comment lines decorated with bands of characters. The input text strings are converted into R comment lines, suitably formatted. These are then displayed in a console window and, if possible, automatically transferred to a clipboard ready for pasting into an R script. Designed to save time when drafting R scripts that will need to be navigated and maintained by other programmers.

r-boxtest 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=boxTest
Licenses: Expat
Build system: r
Synopsis: Boxplot and Significance Test for Two Groups
Description:

This package provides functions to create side-by-side boxplots for a continuous variable grouped by a two-level categorical variable, check normality assumptions using the Shapiro-Wilk test (Shapiro and Wilk (1965) <doi:10.2307/2333709>), and perform appropriate statistical tests such as the independent two-sample t-test (Student (1908) <doi:10.1093/biomet/6.1.1>) or the MannĂ¢ Whitney U test ( MannĂ¢ Whitney (1947) <doi:10.1214/aoms/1177730491>). Returns a publication-ready plot and test statistics including test statistic, degrees of freedom, and p-value.

r-bayesgof 5.2
Propagated dependencies: r-vgam@1.1-13 r-orthopolynom@1.0-6.1 r-nleqslv@3.3.5 r-bolstad2@1.0-29
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesGOF
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Modeling via Frequentist Goodness-of-Fit
Description:

This package provides a Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).

r-bayes4psy 1.2.13
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-reshape@0.8.10 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-metrology@0.9-29-2 r-mcmcse@1.5-1 r-ggplot2@4.0.1 r-emg@1.0.9 r-dplyr@1.1.4 r-cowplot@1.2.0 r-circular@0.5-2 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/bstatcomp/bayes4psy
Licenses: GPL 3+
Build system: r
Synopsis: User Friendly Bayesian Data Analysis for Psychology
Description:

This package contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics. This package is based on the Stan platform (Carpenter et el. 2017 <doi:10.18637/jss.v076.i01>).

r-bayesmixsurv 0.9.3
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesMixSurv
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification
Description:

Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification. As a Bayesian dynamic survival model, it relaxes the proportional-hazard assumption. Lasso shrinkage controls overfitting, given the increase in the number of free parameters in the model due to presence of two Weibull components in the hazard function.

r-betterreg 0.3.0
Propagated dependencies: r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BetterReg
Licenses: GPL 3
Build system: r
Synopsis: Better Statistics for OLS and Binomial Logistic Regression
Description:

This package provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and Pseudo R Square. Aberson, C. L. (2022) <doi:10.31234/osf.io/s2yqn>.

r-bigsimr 0.12.0
Dependencies: julia@1.8.5
Propagated dependencies: r-juliacall@0.17.6
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/SchisslerGroup/r-bigsimr
Licenses: GPL 3
Build system: r
Synopsis: Fast Generation of High-Dimensional Random Vectors
Description:

Simulate multivariate data with arbitrary marginal distributions. bigsimr is a package for simulating high-dimensional multivariate data with a target correlation and arbitrary marginal distributions via Gaussian copula. It utilizes the Julia package Bigsimr.jl for its core routines.

r-blox 0.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=blox
Licenses: GPL 2+
Build system: r
Synopsis: Block Diagonal Matrix Approximation
Description:

Finds the best block diagonal matrix approximation of a symmetric matrix. This can be exploited for divisive hierarchical clustering using singular vectors, named HC-SVD. The method is described in Bauer (202Xa) <doi:10.48550/arXiv.2308.06820>.

r-bssasymp 1.2-4
Propagated dependencies: r-jade@2.0-4 r-fica@1.1-3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BSSasymp
Licenses: GPL 2+
Build system: r
Synopsis: Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates
Description:

This package provides functions to compute the asymptotic covariance matrices of mixing and unmixing matrix estimates of the following blind source separation (BSS) methods: symmetric and squared symmetric FastICA, regular and adaptive deflation-based FastICA, FOBI, JADE, AMUSE and deflation-based and symmetric SOBI. Also functions to estimate these covariances based on data are available.

r-bayesproject 1.0
Propagated dependencies: r-rdpack@2.6.4 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesProject
Licenses: GPL 2+
Build system: r
Synopsis: Fast Projection Direction for Multivariate Changepoint Detection
Description:

Implementations in cpp of the BayesProject algorithm (see G. Hahn, P. Fearnhead, I.A. Eckley (2020) <doi:10.1007/s11222-020-09966-2>) which implements a fast approach to compute a projection direction for multivariate changepoint detection, as well as the sum-cusum and max-cusum methods, and a wild binary segmentation wrapper for all algorithms.

r-boostingdea 0.1.0
Propagated dependencies: r-rglpk@0.6-5.1 r-mlmetrics@1.1.3 r-lpsolveapi@5.5.2.0-17.14 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/itsmeryguillen/boostingDEA
Licenses: AGPL 3+
Build system: r
Synopsis: Boosting Approach to Data Envelopment Analysis
Description:

Includes functions to estimate production frontiers and make ideal output predictions in the Data Envelopment Analysis (DEA) context using both standard models from DEA and Free Disposal Hull (FDH) and boosting techniques. In particular, EATBoosting (Guillen et al., 2023 <doi:10.1016/j.eswa.2022.119134>) and MARSBoosting. Moreover, the package includes code for estimating several technical efficiency measures using different models such as the input and output-oriented radial measures, the input and output-oriented Russell measures, the Directional Distance Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based Measure (SBM).

r-bitrina 1.3.2
Propagated dependencies: r-diptest@0.77-2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BiTrinA
Licenses: Artistic License 2.0
Build system: r
Synopsis: Binarization and Trinarization of One-Dimensional Data
Description:

This package provides methods for the binarization and trinarization of one-dimensional data and some visualization functions.

r-bradleyterry2 1.1.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/hturner/BradleyTerry2
Licenses: GPL 2+
Build system: r
Synopsis: Bradley-Terry Models
Description:

Specify and fit the Bradley-Terry model, including structured versions in which the parameters are related to explanatory variables through a linear predictor and versions with contest-specific effects, such as a home advantage.

r-bayesbp 1.1
Propagated dependencies: r-openxlsx@4.2.8.1 r-iterators@1.0.14
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesBP
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix
Description:

Smoothed lexis diagrams with Bayesian method specifically tailored to cancer incidence data. Providing to calculating slope and constructing credible interval. LC Chien et al. (2015) <doi:10.1080/01621459.2015.1042106>. LH Chien et al. (2017) <doi:10.1002/cam4.1102>.

r-bayespop 11.0-3
Propagated dependencies: r-wpp2019@1.1-1 r-wpp2012@2.2-1 r-rworldmap@1.3-8 r-reshape2@1.4.5 r-plyr@1.8.9 r-mortcast@2.8-0 r-googlevis@0.7.3 r-fields@17.1 r-data-table@1.17.8 r-bayestfr@7.4-4 r-bayeslife@5.3-1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://bayespop.csss.washington.edu
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Probabilistic Population Projection
Description:

Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy (Raftery et al., 2012 <doi:10.1073/pnas.1211452109>).

r-bfcluster 1.0.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bfcluster
Licenses: Expat
Build system: r
Synopsis: Buttler-Fickel Distance and R2 for Mixed-Scale Cluster Analysis
Description:

This package implements the distance measure for mixed-scale variables proposed by Buttler and Fickel (1995), based on normalized mean pairwise distances (Gini mean difference), and an R2 statistic to assess clustering quality.

r-bayesmfsurv 0.1.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-fastgp@1.2 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesMFSurv
Licenses: Expat
Build system: r
Synopsis: Bayesian Misclassified-Failure Survival Model
Description:

This package contains a split population survival estimator that models the misclassification probability of failure versus right-censored events. The split population survival estimator is described in Bagozzi et al. (2019) <doi:10.1017/pan.2019.6>.

r-beautier 2.6.12
Propagated dependencies: r-stringr@1.6.0 r-seqinr@4.2-36 r-rlang@1.1.6 r-rappdirs@0.3.3 r-purrr@1.2.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://docs.ropensci.org/beautier/
Licenses: GPL 3
Build system: r
Synopsis: 'BEAUti' from R
Description:

BEAST2 (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. BEAUti 2 (which is part of BEAST2') is a GUI tool that allows users to specify the many possible setups and generates the XML file BEAST2 needs to run. This package provides a way to create BEAST2 input files without active user input, but using R function calls instead.

r-backtestgraphics 0.1.8
Propagated dependencies: r-xts@0.14.1 r-tibble@3.3.0 r-shiny@1.11.1 r-scales@1.4.0 r-dygraphs@1.1.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=backtestGraphics
Licenses: GPL 3
Build system: r
Synopsis: Interactive Graphics for Portfolio Data
Description:

This package creates an interactive graphics interface to visualize backtest results of different financial instruments, such as equities, futures, and credit default swaps. The package does not run backtests on the given data set but displays a graphical explanation of the backtest results. Users can look at backtest graphics for different instruments, investment strategies, and portfolios. Summary statistics of different portfolio holdings are shown in the left panel, and interactive plots of profit and loss (P&L), net market value (NMV) and gross market value (GMV) are displayed in the right panel.

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Total results: 68658