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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-bentcablear 0.3.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bentcableAR
Licenses: GPL 3+
Build system: r
Synopsis: Bent-Cable Regression for Independent Data or Autoregressive Time Series
Description:

Included are two main interfaces, bentcable.ar() and bentcable.dev.plot(), for fitting and diagnosing bent-cable regressions for autoregressive time-series data (Chiu and Lockhart 2010, <doi:10.1002/cjs.10070>) or independent data (time series or otherwise - Chiu, Lockhart and Routledge 2006, <doi:10.1198/016214505000001177>). Some components in the package can also be used as stand-alone functions. The bent cable (linear-quadratic-linear) generalizes the broken stick (linear-linear), which is also handled by this package. Version 0.2 corrected a glitch in the computation of confidence intervals for the CTP. References that were updated from Versions 0.2.1 and 0.2.2 appear in Version 0.2.3 and up. Version 0.3.0 improved robustness of the error-message producing mechanism. Version 0.3.1 improves the NAMESPACE file of the package. It is the author's intention to distribute any future updates via GitHub.

r-bidsr 0.1.1
Propagated dependencies: r-uuid@1.2-1 r-s7@0.2.1 r-nanotime@0.3.12 r-jsonlite@2.0.0 r-fs@1.6.6 r-fastmap@1.2.0 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://dipterix.org/bidsr/
Licenses: Expat
Build system: r
Synopsis: Brain Imaging Data Structure ('BIDS') Parser
Description:

Parse and read the files that comply with the brain imaging data structure, or BIDS format, see the publication from Gorgolewski, K., Auer, T., Calhoun, V. et al. (2016) <doi:10.1038/sdata.2016.44>. Provides query functions to extract and check the BIDS entity information (such as subject, session, task, etc.) from the file paths and suffixes according to the specification. The package is developed and used in the reproducible analysis and visualization of intracranial electroencephalography, or RAVE', see Magnotti, J. F., Wang, Z., and Beauchamp, M. S. (2020) <doi:10.1016/j.neuroimage.2020.117341>; see citation("bidsr") for details and attributions.

r-bild 1.2-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bild
Licenses: GPL 2+
Build system: r
Synopsis: Package for BInary Longitudinal Data
Description:

This package performs logistic regression for binary longitudinal data, allowing for serial dependence among observations from a given individual and a random intercept term. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed, with some restrictions. M. Helena Goncalves et al.(2007) <DOI: 10.18637/jss.v046.i09>.

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-bbknnr 2.0.2
Propagated dependencies: r-uwot@0.2.4 r-tidytable@0.11.2 r-seuratobject@5.2.0 r-seurat@5.3.1 r-rtsne@0.17 r-rnndescent@0.1.8 r-rlang@1.1.6 r-rcppeigen@0.3.4.0.2 r-rcppannoy@0.0.22 r-rcpp@1.1.0 r-glmnet@4.1-10 r-future-apply@1.20.0 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ycli1995/bbknnR
Licenses: Expat
Build system: r
Synopsis: Perform Batch Balanced KNN in R
Description:

This package provides a fast and intuitive batch effect removal tool for single-cell data. BBKNN is originally used in the scanpy python package, and now can be used with Seurat seamlessly.

r-breathtestcore 0.8.10
Dependencies: pandoc@2.19.2
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-signal@1.8-1 r-readxl@1.4.5 r-readr@2.1.6 r-purrr@1.2.0 r-nlme@3.1-168 r-multcomp@1.4-29 r-mass@7.3-65 r-ggplot2@4.0.1 r-ggfittext@0.10.2 r-dplyr@1.1.4 r-broom@1.0.10 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/dmenne/breathtestcore
Licenses: GPL 3
Build system: r
Synopsis: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description:

Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using nls', nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package breathteststan'. For a Shiny GUI, see package dmenne/breathtestshiny on github.

r-bertopicr 0.3.6
Dependencies: python-scikit-learn@1.7.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-reticulate@1.44.1 r-readr@2.1.6 r-purrr@1.2.0 r-htmltools@0.5.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://tpetric7.github.io/bertopicr/
Licenses: Expat
Build system: r
Synopsis: Topic Modeling with 'BERTopic'
Description:

This package provides topic modeling and visualization by interfacing with the BERTopic library for Python via reticulate'. See Grootendorst (2022) <doi:10.48550/arXiv.2203.05794>.

r-biometrics 1.0.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=biometrics
Licenses: GPL 3+
Build system: r
Synopsis: Functions and Datasets for Forest Biometrics and Modelling
Description:

This package provides a system of functions and data aiming to apply quantitative analyses to forest ecology, silviculture and decision-making. Besides, the package helps to carry out data management, exploratory analysis, and model assessment.

r-bmconcor 2.0.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://fatelarico.github.io/BMconcor/
Licenses: GPL 3+
Build system: r
Synopsis: CONCOR for Structural- And Regular-Equivalence Blockmodeling
Description:

The four functions svdcp() ('cp for column partitioned), svdbip() or svdbip2() ('bip for bipartitioned), and svdbips() ('s for a simultaneous optimization of a set of r solutions), correspond to a singular value decomposition (SVD) by blocks notion, by supposing each block depending on relative subspaces, rather than on two whole spaces as usual SVD does. The other functions, based on this notion, are relative to two column partitioned data matrices x and y defining two sets of subsets x_i and y_j of variables and amount to estimate a link between x_i and y_j for the pair (x_i, y_j) relatively to the links associated to all the other pairs. These methods were first presented in: Lafosse R. & Hanafi M.,(1997) <https://eudml.org/doc/106424> and Hanafi M. & Lafosse, R. (2001) <https://eudml.org/doc/106494>.

r-bfboinet 0.4.0
Propagated dependencies: r-tidyselect@1.2.1 r-magrittr@2.0.4 r-iso@0.0-21 r-dplyr@1.1.4 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bfboinet
Licenses: GPL 3
Build system: r
Synopsis: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
Description:

The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation cohort to explore a higher dose. The advantages compared to the other designs in terms of the percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the duration of the trial, in various realistic setting.

r-bcra 2.1.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BCRA
Licenses: GPL 2+
Build system: r
Synopsis: Breast Cancer Risk Assessment
Description:

This package provides functions provide risk projections of invasive breast cancer based on Gail model according to National Cancer Institute's Breast Cancer Risk Assessment Tool algorithm for specified race/ethnic groups and age intervals. Gail MH, Brinton LA, et al (1989) <doi:10.1093/jnci/81.24.1879>. Marthew PB, Gail MH, et al (2016) <doi:10.1093/jnci/djw215>.

r-bliss 1.1.1
Propagated dependencies: r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/pmgrollemund/bliss
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Functional Linear Regression with Sparse Step Functions
Description:

This package provides a method for the Bayesian functional linear regression model (scalar-on-function), including two estimators of the coefficient function and an estimator of its support. A representation of the posterior distribution is also available. Grollemund P-M., Abraham C., Baragatti M., Pudlo P. (2019) <doi:10.1214/18-BA1095>.

r-bnnsurvival 0.1.5
Propagated dependencies: r-rcpp@1.1.0 r-prodlim@2025.04.28 r-pec@2025.06.24
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bnnSurvival
Licenses: GPL 3
Build system: r
Synopsis: Bagged k-Nearest Neighbors Survival Prediction
Description:

This package implements a bootstrap aggregated (bagged) version of the k-nearest neighbors survival probability prediction method (Lowsky et al. 2013). In addition to the bootstrapping of training samples, the features can be subsampled in each baselearner to break the correlation between them. The Rcpp package is used to speed up the computation.

r-borrowr 0.2.0
Propagated dependencies: r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-bart@2.9.10
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=borrowr
Licenses: GPL 3+
Build system: r
Synopsis: Estimate Causal Effects with Borrowing Between Data Sources
Description:

Estimate population average treatment effects from a primary data source with borrowing from supplemental sources. Causal estimation is done with either a Bayesian linear model or with Bayesian additive regression trees (BART) to adjust for confounding. Borrowing is done with multisource exchangeability models (MEMs). For information on BART, see Chipman, George, & McCulloch (2010) <doi:10.1214/09-AOAS285>. For information on MEMs, see Kaizer, Koopmeiners, & Hobbs (2018) <doi:10.1093/biostatistics/kxx031>.

r-bayesertools 0.2.4
Propagated dependencies: r-tidyr@1.3.1 r-tidybayes@3.0.7 r-rstanemax@0.1.9 r-rstanarm@2.32.2 r-rlang@1.1.6 r-purrr@1.2.0 r-posterior@1.6.1 r-loo@2.8.0 r-gt@1.3.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://genentech.github.io/BayesERtools/
Licenses: ASL 2.0
Build system: r
Synopsis: Bayesian Exposure-Response Analysis Tools
Description:

Suite of tools that facilitate exposure-response analysis using Bayesian methods. The package provides a streamlined workflow for fitting types of models that are commonly used in exposure-response analysis - linear and Emax for continuous endpoints, logistic linear and logistic Emax for binary endpoints, as well as performing simulation and visualization. Learn more about the workflow at <https://genentech.github.io/BayesERbook/>.

r-bcsreg 1.1.1
Propagated dependencies: r-generalizedhyperbolic@0.8-7 r-gamlss-dist@6.1-1 r-formula@1.2-5 r-envstats@3.1.0 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ffqueiroz/BCSreg
Licenses: GPL 3+
Build system: r
Synopsis: Box-Cox Symmetric Regression for Non-Negative Data
Description:

This package provides a collection of tools for regression analysis of non-negative data, including strictly positive and zero-inflated observations, based on the class of the Box-Cox symmetric (BCS) distributions and its zero-adjusted extension. The BCS distributions are a class of flexible probability models capable of describing different levels of skewness and tail-heaviness. The package offers a comprehensive regression modeling framework, including estimation and tools for evaluating goodness-of-fit.

r-bursa 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-rvest@1.0.5 r-readr@2.1.6 r-openxlsx@4.2.8.1 r-jsonlite@2.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ozancanozdemir/bursa
Licenses: Expat
Build system: r
Synopsis: R Wrapper for Bursa Municipality Open Data Portal
Description:

Call the data wrappers for Bursa Metropolitan Municipality's Open Data Portal <https://acikyesil.bursa.bel.tr/>. This will return all datasets stored in different formats.

r-bkmr 0.2.2
Propagated dependencies: r-truncnorm@1.0-9 r-tmvtnorm@1.7 r-tidyr@1.3.1 r-tibble@3.3.0 r-nlme@3.1-168 r-mass@7.3-65 r-magrittr@2.0.4 r-fields@17.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/jenfb/bkmr
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Kernel Machine Regression
Description:

Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures, as described in Bobb et al (2015) <doi:10.1093/biostatistics/kxu058>.

r-bayeschange 2.2.0
Propagated dependencies: r-tidyr@1.3.1 r-salso@0.3.57 r-rlang@1.1.6 r-reshape2@1.4.5 r-rcppgsl@0.3.13 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/lucadanese/BayesChange
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Methods for Change Point Analysis
Description:

This package performs change point detection on univariate and multivariate time series (Martà nez & Mena, 2014, <doi:10.1214/14-BA878> ; Corradin, Danese & Ongaro, 2022, <doi:10.1016/j.ijar.2021.12.019>) and clusters time-dependent data with common change points (Corradin, Danese, KhudaBukhsh & Ongaro, 2026, <doi:10.1007/s11222-025-10756-x>).

r-blockr-core 0.1.1
Propagated dependencies: r-vctrs@0.6.5 r-shinyfiles@0.9.3 r-shiny@1.11.1 r-rlang@1.1.6 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-glue@1.8.0 r-generics@0.1.4 r-evaluate@1.0.5 r-dt@0.34.0 r-digest@0.6.39 r-cli@3.6.5 r-bslib@0.9.0 r-bsicons@0.1.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://bristolmyerssquibb.github.io/blockr.core/
Licenses: GPL 3+
Build system: r
Synopsis: Graphical Web-Framework for Data Manipulation and Visualization
Description:

This package provides a framework for data manipulation and visualization using a web-based point and click user interface where analysis pipelines are decomposed into re-usable and parameterizable blocks.

r-businessplanr 0.1-0
Propagated dependencies: r-knitr@1.50 r-kableextra@1.4.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://www.c3s.cc
Licenses: GPL 3+
Build system: r
Synopsis: Simple Modelling Tools for Business Plans
Description:

This package provides a collection of S4 classes, methods and functions to create and visualize business plans. Different types of cash flows can be defined, which can then be used and tabulated to create profit and loss statements, cash flow plans, investment and depreciation schedules, loan amortization schedules, etc. The methods are designed to produce handsome tables in both PDF and HTML using RMarkdown or Shiny'.

r-blockmodelinggui 1.8.4
Propagated dependencies: r-visnetwork@2.1.4 r-shinythemes@1.2.0 r-shinyjs@2.1.0 r-shinybusy@0.3.3 r-shiny@1.11.1 r-network@1.19.0 r-intergraph@2.0-4 r-igraph@2.2.1 r-htmlwidgets@1.6.4 r-dt@0.34.0 r-blockmodeling@1.1.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BlockmodelingGUI
Licenses: GPL 3+
Build system: r
Synopsis: GUI for the Generalised Blockmodeling of Valued Networks
Description:

This app provides some useful tools for Offering an accessible GUI for generalised blockmodeling of single-relation, one-mode networks. The user can execute blockmodeling without having to write a line code by using the app's visual helps. Moreover, there are several ways to visualisations networks and their partitions. Finally, the results can be exported as if they were produced by writing code. The development of this package is financially supported by the Slovenian Research Agency (www.arrs.gov.si) within the research project J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).

r-balancecheck 0.2
Propagated dependencies: r-mvtnorm@1.3-3 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BalanceCheck
Licenses: GPL 2+
Build system: r
Synopsis: Balance Check for Multiple Covariates in Matched Observational Studies
Description:

Two practical tests are provided for assessing whether multiple covariates in a treatment group and a matched control group are balanced in observational studies.

r-b64 0.1.7
Dependencies: xz@5.4.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://extendr.github.io/b64/
Licenses: Expat
Build system: r
Synopsis: Fast and Vectorized Base 64 Engine
Description:

This package provides a fast, lightweight, and vectorized base 64 engine to encode and decode character and raw vectors as well as files stored on disk. Common base 64 alphabets are supported out of the box including the standard, URL-safe, bcrypt, crypt, BinHex', and IMAP-modified UTF-7 alphabets. Custom engines can be created to support unique base 64 encoding and decoding needs.

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