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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-bea-r 1.0.6
Propagated dependencies: r-yaml@2.3.10 r-xtable@1.8-4 r-stringr@1.6.0 r-stringi@1.8.7 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-scales@1.4.0 r-rcpp@1.1.0 r-plyr@1.8.9 r-munsell@0.5.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-httpuv@1.6.16 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-gtable@0.3.6 r-googlevis@0.7.3 r-ggplot2@4.0.1 r-dt@0.34.0 r-data-table@1.17.8 r-colorspace@2.1-2 r-chron@2.3-62
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/us-bea/bea.R
Licenses: CC0
Build system: r
Synopsis: Bureau of Economic Analysis API
Description:

This package provides an R interface for the Bureau of Economic Analysis (BEA) API (see <http://www.bea.gov/API/bea_web_service_api_user_guide.htm> for more information) that serves two core purposes - 1. To Extract/Transform/Load data [beaGet()] from the BEA API as R-friendly formats in the user's work space [transformation done by default in beaGet() can be modified using optional parameters; see, too, bea2List(), bea2Tab()]. 2. To enable the search of descriptive meta data [beaSearch()]. Other features of the library exist mainly as intermediate methods or are in early stages of development. Important Note - You must have an API key to use this library. Register for a key at <http://www.bea.gov/API/signup/index.cfm> .

r-bqror 1.7.1
Propagated dependencies: r-truncnorm@1.0-9 r-progress@1.2.3 r-pracma@2.4.6 r-npflow@0.13.6 r-mass@7.3-65 r-invgamma@1.2 r-gigrvg@0.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/prajual/bqror
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Quantile Regression for Ordinal Models
Description:

Package provides functions for estimation and inference in Bayesian quantile regression with ordinal outcomes. An ordinal model with 3 or more outcomes (labeled OR1 model) is estimated by a combination of Gibbs sampling and Metropolis-Hastings (MH) algorithm. Whereas an ordinal model with exactly 3 outcomes (labeled OR2 model) is estimated using a Gibbs sampling algorithm. The summary output presents the posterior mean, posterior standard deviation, 95% credible intervals, and the inefficiency factors along with the two model comparison measures â logarithm of marginal likelihood and the deviance information criterion (DIC). The package also provides functions for computing the covariate effects and other functions that aids either the estimation or inference in quantile ordinal models. Rahman, M. A. (2016).â Bayesian Quantile Regression for Ordinal Models.â Bayesian Analysis, 11(1): 1-24 <doi: 10.1214/15-BA939>. Yu, K., and Moyeed, R. A. (2001). â Bayesian Quantile Regression.â Statistics and Probability Letters, 54(4): 437â 447 <doi: 10.1016/S0167-7152(01)00124-9>. Koenker, R., and Bassett, G. (1978).â Regression Quantiles.â Econometrica, 46(1): 33-50 <doi: 10.2307/1913643>. Chib, S. (1995). â Marginal likelihood from the Gibbs output.â Journal of the American Statistical Association, 90(432):1313â 1321, 1995. <doi: 10.1080/01621459.1995.10476635>. Chib, S., and Jeliazkov, I. (2001). â Marginal likelihood from the Metropolis-Hastings output.â Journal of the American Statistical Association, 96(453):270â 281, 2001. <doi: 10.1198/016214501750332848>.

r-bdsm 0.3.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rootsolve@1.8.2.4 r-rlang@1.1.6 r-rje@1.12.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pbapply@1.7-4 r-optimbase@1.0-10 r-magrittr@2.0.4 r-knitr@1.50 r-gridextra@2.3 r-ggpubr@0.6.2 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=bdsm
Licenses: Expat
Build system: r
Synopsis: Bayesian Dynamic Systems Modeling
Description:

This package implements methods for building and analyzing models based on panel data as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.

r-bootwptos 1.2.1
Propagated dependencies: r-wavethresh@4.7.3 r-tseries@0.10-58
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BootWPTOS
Licenses: GPL 2
Build system: r
Synopsis: Test Stationarity using Bootstrap Wavelet Packet Tests
Description:

This package provides significance tests for second-order stationarity for time series using bootstrap wavelet packet tests. Provides functionality to visualize the time series with the results of the hypothesis tests superimposed. The methodology is described in Cardinali, A and Nason, G P (2016) "Practical powerful wavelet packet tests for second-order stationarity." Applied and Computational Harmonic Analysis, 44, 558-585 <doi:10.1016/j.acha.2016.06.006>.

r-bayesdfa 1.3.4
Propagated dependencies: r-viridislite@0.4.2 r-stanheaders@2.32.10 r-rstan@2.32.7 r-rlang@1.1.6 r-reshape2@1.4.5 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mgcv@1.9-4 r-loo@2.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://fate-ewi.github.io/bayesdfa/
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Description:

This package implements Bayesian dynamic factor analysis with Stan'. Dynamic factor analysis is a dimension reduction tool for multivariate time series. bayesdfa extends conventional dynamic factor models in several ways. First, extreme events may be estimated in the latent trend by modeling process error with a student-t distribution. Second, alternative constraints (including proportions are allowed). Third, the estimated dynamic factors can be analyzed with hidden Markov models to evaluate support for latent regimes.

r-biomontools 1.2.4
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rlang@1.1.6 r-maps@3.4.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/leppott/BioMonTools
Licenses: Expat
Build system: r
Synopsis: Biomonitoring and Bioassessment Calculations
Description:

An aid for manipulating data associated with biomonitoring and bioassessment. Calculations include metric calculation, marking of excluded taxa, subsampling, and multimetric index calculation. Targeted communities are benthic macroinvertebrates, fish, periphyton, and coral. As described in the Revised Rapid Bioassessment Protocols (Barbour et al. 1999) <https://archive.epa.gov/water/archive/web/html/index-14.html>.

r-bayeslca 1.9
Propagated dependencies: r-nlme@3.1-168 r-mcmcpack@1.7-1 r-fields@17.1 r-e1071@1.7-16 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=BayesLCA
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Latent Class Analysis
Description:

Bayesian Latent Class Analysis using several different methods.

r-bingroup 2.2-3
Propagated dependencies: r-rdpack@2.6.4 r-partitions@1.10-9
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=binGroup
Licenses: GPL 3+
Build system: r
Synopsis: Evaluation and Experimental Design for Binomial Group Testing
Description:

This package provides methods for estimation and hypothesis testing of proportions in group testing designs: methods for estimating a proportion in a single population (assuming sensitivity and specificity equal to 1 in designs with equal group sizes), as well as hypothesis tests and functions for experimental design for this situation. For estimating one proportion or the difference of proportions, a number of confidence interval methods are included, which can deal with various different pool sizes. Further, regression methods are implemented for simple pooling and matrix pooling designs. Methods for identification of positive items in group testing designs: Optimal testing configurations can be found for hierarchical and array-based algorithms. Operating characteristics can be calculated for testing configurations across a wide variety of situations.

r-bios2mds 1.2.3
Propagated dependencies: r-scales@1.4.0 r-rgl@1.3.31 r-e1071@1.7-16 r-cluster@2.1.8.1 r-amap@0.8-20
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bios2mds
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: From Biological Sequences to Multidimensional Scaling
Description:

Utilities dedicated to the analysis of biological sequences by metric MultiDimensional Scaling with projection of supplementary data. It contains functions for reading multiple sequence alignment files, calculating distance matrices, performing metric multidimensional scaling and visualizing results.

r-boneprofiler 4.0
Propagated dependencies: r-shiny@1.11.1 r-rmarkdown@2.30 r-rdpack@2.6.4 r-knitr@1.50 r-imager@1.0.5 r-helpersmg@2026.2.28
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BoneProfileR
Licenses: GPL 2
Build system: r
Synopsis: Tools to Study Bone Compactness
Description:

Bone Profiler is a scientific method and a software used to model bone section for paleontological and ecological studies. See Girondot and Laurin (2003) <https://www.researchgate.net/publication/280021178_Bone_profiler_A_tool_to_quantify_model_and_statistically_compare_bone-section_compactness_profiles> and Gônet, Laurin and Girondot (2022) <https://palaeo-electronica.org/content/2022/3590-bone-section-compactness-model>.

r-bolsec 0.1.1
Propagated dependencies: r-rvest@1.0.5 r-formattable@0.2.1 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=bolsec
Licenses: GPL 3
Build system: r
Synopsis: Bolivian Securities
Description:

This package provides data import and offers 3 daily snapshot functions from securities of varying prices traded on the Bolivian Securities Exchange, website <https://www.bbv.com.bo/>. The snapshots include a detailed list, scatter plot correlation, and descriptive statistics table for the securities.

r-branchglm 3.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/JacobSeedorff21/BranchGLM
Licenses: FSDG-compatible
Build system: r
Synopsis: Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms
Description:

This package performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in RcppArmadillo'. Parallel computation is available using OpenMP'.

r-bimodalindex 1.1.11
Propagated dependencies: r-oompabase@3.2.10 r-mclust@6.1.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: The Bimodality Index
Description:

Defines the functions used to compute the bimodal index as defined by Wang et al. (2009) <https://pmc.ncbi.nlm.nih.gov/articles/PMC2730180/>, <doi:10.4137/CIN.S2846>.

r-bssoverspace 0.1.0
Propagated dependencies: r-spatialbss@0.16-0 r-rspde@2.5.2 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BSSoverSpace
Licenses: GPL 3
Build system: r
Synopsis: Blind Source Separation for Multivariate Spatial Data using Eigen Analysis
Description:

This package provides functions for blind source separation over multivariate spatial data, and useful statistics for evaluating performance of estimation on mixing matrix. BSSoverSpace is based on an eigen analysis of a positive definite matrix defined in terms of multiple normalized spatial local covariance matrices, and thus can handle moderately high-dimensional random fields. This package is an implementation of the method described in Zhang, Hao and Yao (2022)<arXiv:2201.02023>.

r-bayou 2.3.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-phytools@2.5-2 r-mnormt@2.1.1 r-matrix@1.7-4 r-mass@7.3-65 r-geiger@2.0.11 r-foreach@1.5.2 r-fitdistrplus@1.2-4 r-denstrip@1.5.5 r-coda@0.19-4.1 r-assertthat@0.2.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bayou
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Fitting of Ornstein-Uhlenbeck Models to Phylogenies
Description:

Fits and simulates multi-optima Ornstein-Uhlenbeck models to phylogenetic comparative data using Bayesian reversible-jump methods. See Uyeda and Harmon (2014) <DOI:10.1093/sysbio/syu057>.

r-bioacoustics 0.2.10
Dependencies: fftw@3.3.10
Propagated dependencies: r-tuner@1.4.7 r-stringr@1.6.0 r-rcpp@1.1.0 r-moments@0.14.1 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/wavx/bioacoustics/
Licenses: GPL 3
Build system: r
Synopsis: Analyse Audio Recordings and Automatically Extract Animal Vocalizations
Description:

This package contains all the necessary tools to process audio recordings of various formats (e.g., WAV, WAC, MP3, ZC), filter noisy files, display audio signals, detect and extract automatically acoustic features for further analysis such as classification.

r-bgmfiles 0.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/AustralianAntarcticDivision/bgmfiles/
Licenses: CC0
Build system: r
Synopsis: Example BGM Files for the Atlantis Ecosystem Model
Description:

This package provides a collection of box-geometry model (BGM) files for the Atlantis ecosystem model. Atlantis is a deterministic, biogeochemical, whole-of-ecosystem model (see <http://atlantis.cmar.csiro.au/> for more information).

r-bcdating 0.9.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BCDating
Licenses: GPL 2
Build system: r
Synopsis: Business Cycle Dating and Plotting Tools
Description:

This package provides tools for Dating Business Cycles using Harding-Pagan (Quarterly Bry-Boschan) method and various plotting features.

r-boinet 1.5.0
Propagated dependencies: r-tibble@3.3.0 r-shinydashboard@0.7.3 r-shinybs@0.61.1 r-shiny@1.11.1 r-rhandsontable@0.3.8 r-plotly@4.11.0 r-mfp@1.5.5.1 r-iso@0.0-21 r-gt@1.3.0 r-ggplot2@4.0.1 r-dt@0.34.0 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=boinet
Licenses: Expat
Build system: r
Synopsis: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family
Description:

Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I/II trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), ordinal graded efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). boinet is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.

r-brq 3.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=Brq
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Analysis of Quantile Regression Models
Description:

Bayesian estimation and variable selection for quantile regression models.

r-bml 0.9.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-r2jags@0.8-9 r-purrr@1.2.0 r-patchwork@1.3.2 r-ggplot2@4.0.1 r-ggmcmc@1.5.1.2 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://benrosche.github.io/bml/
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Multiple-Membership Multilevel Models with Parameterizable Weight Functions
Description:

This package implements Bayesian multiple-membership multilevel models with parameterizable weight functions via JAGS to model how lower-level units jointly shape higher-level outcomes (micro-macro link) across a range of outcome types (e.g., linear, logit, and survival models). Supports estimation and comparison of alternative aggregation mechanisms, allows weight matrices to be endogenized through parameters and covariates, and accommodates complex dependence structures that extend beyond traditional multilevel frameworks. For details, see Rosche (2026) "A Multilevel Model for Coalition Governments. Uncovering Party-Level Dependencies Within and Between Governments" <doi:10.31235/osf.io/4bafr_v2>.

r-basedosdados 0.2.3
Propagated dependencies: r-writexl@1.5.4 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-httr@1.4.7 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4 r-dotenv@1.0.3 r-dbplyr@2.5.1 r-dbi@1.2.3 r-cli@3.6.5 r-bigrquery@1.6.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=basedosdados
Licenses: Expat
Build system: r
Synopsis: 'Base Dos Dados' R Client
Description:

An R interface to the Base dos Dados API <https://basedosdados.org/docs/api_reference_python/>). Authenticate your project, query our tables, save data to disk and memory, all from R.

r-bibliorefer 0.1.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bibliorefer
Licenses: GPL 3
Build system: r
Synopsis: Generator of Main Scientific References
Description:

Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.

r-baggingbwsel 1.1
Propagated dependencies: r-sm@2.2-6.0 r-rcpp@1.1.0 r-nor1mix@1.3-3 r-misc3d@0.9-1 r-mclust@6.1.2 r-kedd@1.0.4 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://rubenfcasal.github.io/baggingbwsel/
Licenses: GPL 3
Build system: r
Synopsis: Bagging Bandwidth Selection in Kernel Density and Regression Estimation
Description:

Bagging bandwidth selection methods for the Parzen-Rosenblatt and Nadaraya-Watson estimators. These bandwidth selectors can achieve greater statistical precision than their non-bagged counterparts while being computationally fast. See Barreiro-Ures et al. (2020) <doi:10.1093/biomet/asaa092> and Barreiro-Ures et al. (2021) <doi:10.48550/arXiv.2105.04134>.

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