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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-bibliometrix 5.2.1
Propagated dependencies: r-visnetwork@2.1.4 r-tidytext@0.4.3 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-stringdist@0.9.15 r-snowballc@0.7.1 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rscopus@0.9.0 r-readxl@1.4.5 r-readr@2.1.6 r-purrr@1.2.0 r-pubmedr@0.0.3 r-plotly@4.11.0 r-openxlsx@4.2.8.1 r-openalexr@3.0.1 r-matrix@1.7-4 r-igraph@2.2.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-dimensionsr@0.0.3 r-contentanalysis@0.2.1 r-ca@0.71.1 r-bibliometrixdata@0.3.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://www.bibliometrix.org
Licenses: GPL 3
Build system: r
Synopsis: Comprehensive Science Mapping Analysis
Description:

Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. bibliometrix provides various routines for importing bibliographic data from SCOPUS', Clarivate Analytics Web of Science (<https://www.webofknowledge.com/>), Digital Science Dimensions (<https://www.dimensions.ai/>), OpenAlex (<https://openalex.org/>), Cochrane Library (<https://www.cochranelibrary.com/>), Lens (<https://lens.org>), and PubMed (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.

r-badger 0.2.5
Propagated dependencies: r-usethis@3.2.1 r-rvcheck@0.2.1 r-dlstats@0.1.7 r-desc@1.4.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/GuangchuangYu/badger
Licenses: Artistic License 2.0
Build system: r
Synopsis: Badge for R Package
Description:

Query information and generate badge for using in README and GitHub Pages.

r-bnclassify 0.4.8
Propagated dependencies: r-rpart@4.1.24 r-rcpp@1.1.0 r-matrixstats@1.5.0 r-entropy@1.3.2 r-bh@1.87.0-1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/bmihaljevic/bnclassify
Licenses: GPL 2+
Build system: r
Synopsis: Learning Discrete Bayesian Network Classifiers from Data
Description:

State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.

r-bhai 0.99.2
Propagated dependencies: r-prevtoinc@0.12.0 r-plotrix@3.8-13 r-mcmcpack@1.7-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BHAI
Licenses: GPL 3
Build system: r
Synopsis: Estimate the Burden of Healthcare-Associated Infections
Description:

This package provides an approach which is based on the methodology of the Burden of Communicable Diseases in Europe (BCoDE) and can be used for large and small samples such as individual countries. The Burden of Healthcare-Associated Infections (BHAI) is estimated in disability-adjusted life years, number of infections as well as number of deaths per year. Results can be visualized with various plotting functions and exported into tables.

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-boostmlr 1.0.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BoostMLR
Licenses: GPL 2+
Build system: r
Synopsis: Boosting for Multivariate Longitudinal Responses
Description:

Jointly models the multivariate longitudinal responses and multiple covariates and time using gradient boosting approach.

r-betanb 1.0.6
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/jeksterslab/betaNB
Licenses: Expat
Build system: r
Synopsis: Bootstrap for Regression Effect Sizes
Description:

Generates nonparametric bootstrap confidence intervals (Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm().

r-bspline 2.5.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nlsic@1.2.0 r-arrapply@2.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/MathsCell/bspline
Licenses: GPL 2
Build system: r
Synopsis: B-Spline Interpolation and Regression
Description:

Build and use B-splines for interpolation and regression. In case of regression, equality constraints as well as monotonicity and/or positivity of B-spline weights can be imposed. Moreover, knot positions can be on regular grid or be part of optimized parameters too (in addition to the spline weights). For this end, bspline is able to calculate Jacobian of basis vectors as function of knot positions. User is provided with functions calculating spline values at arbitrary points. These functions can be differentiated and integrated to obtain B-splines calculating derivatives/integrals at any point. B-splines of this package can simultaneously operate on a series of curves sharing the same set of knots. bspline is written with concern about computing performance that's why the basis and Jacobian calculation is implemented in C++. The rest is implemented in R but without notable impact on computing speed.

r-bayesmultimode 0.7.4
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-sn@2.1.1 r-rdpack@2.6.4 r-posterior@1.6.1 r-mvtnorm@1.3-3 r-mcmcglmm@2.36 r-magrittr@2.0.4 r-gtools@3.9.5 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-bayesplot@1.14.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/paullabonne/BayesMultiMode
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Mode Inference
Description:

This package provides a two-step Bayesian approach for mode inference following Cross, Hoogerheide, Labonne and van Dijk (2024) <doi:10.1016/j.econlet.2024.111579>). First, a mixture distribution is fitted on the data using a sparse finite mixture (SFM) Markov chain Monte Carlo (MCMC) algorithm. The number of mixture components does not have to be known; the size of the mixture is estimated endogenously through the SFM approach. Second, the modes of the estimated mixture at each MCMC draw are retrieved using algorithms specifically tailored for mode detection. These estimates are then used to construct posterior probabilities for the number of modes, their locations and uncertainties, providing a powerful tool for mode inference.

r-basta 2.0.2
Propagated dependencies: r-snowfall@1.84-6.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BaSTA
Licenses: GPL 3+
Build system: r
Synopsis: Age-Specific Bayesian Survival Trajectory Analysis from Incomplete Census or Capture-Recapture/Recovery Data
Description:

Estimates survival and mortality with covariates from census or capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots, as described in Colchero, Jones, and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and Colchero et al. (2021) <doi:10.1038/s41467-021-23894-3>.

r-bespatial 0.1.3
Propagated dependencies: r-tibble@3.3.0 r-terra@1.8-86 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-landscapemetrics@2.2.1 r-comat@0.9.6 r-belg@1.5.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://jakubnowosad.com/bespatial/
Licenses: Expat
Build system: r
Synopsis: Boltzmann Entropy for Spatial Data
Description:

Calculates several entropy metrics for spatial data inspired by Boltzmann's entropy formula. It includes metrics introduced by Cushman for landscape mosaics (Cushman (2015) <doi:10.1007/s10980-015-0305-2>), and landscape gradients and point patterns (Cushman (2021) <doi:10.3390/e23121616>); by Zhao and Zhang for landscape mosaics (Zhao and Zhang (2019) <doi:10.1007/s10980-019-00876-x>); and by Gao et al. for landscape gradients (Gao et al. (2018) <doi:10.1111/tgis.12315>; Gao and Li (2019) <doi:10.1007/s10980-019-00854-3>).

r-brand-yml 0.1.0
Propagated dependencies: r-yaml@2.3.10 r-rlang@1.1.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://posit-dev.github.io/brand-yml/pkg/r/
Licenses: Expat
Build system: r
Synopsis: Unified Branding with a Simple YAML File
Description:

Read and process brand.yml YAML files. brand.yml is a simple, portable YAML file that codifies your company's brand guidelines into a format that can be used by Quarto', Shiny and R tooling to create branded outputs. Maintain unified, branded theming for web applications to printed reports to dashboards and presentations with a consistent look and feel.

r-bcee 1.3.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-leaps@3.2 r-boot@1.3-32 r-bma@3.18.20
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BCEE
Licenses: GPL 2+
Build system: r
Synopsis: The Bayesian Causal Effect Estimation Algorithm
Description:

This package provides a Bayesian model averaging approach to causal effect estimation based on the BCEE algorithm. Currently supports binary or continuous exposures and outcomes. For more details, see Talbot et al. (2015) <doi:10.1515/jci-2014-0035> Talbot and Beaudoin (2022) <doi:10.1515/jci-2021-0023>.

r-babytimer 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-snakecase@0.11.1 r-readr@2.1.6 r-lubridate@1.9.4 r-janitor@2.2.1 r-glue@1.8.0 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=babyTimeR
Licenses: Expat
Build system: r
Synopsis: Parse Output from 'BabyTime' Application
Description:

BabyTime is an application for tracking infant and toddler care activities like sleeping, eating, etc. This package will take the outputted .zip files and parse it into a usable list object with cleaned data. It handles malformed and incomplete data gracefully and is designed to parse one directory at a time.

r-boolfilter 1.0.0
Propagated dependencies: r-rlab@4.0 r-boolnet@2.1.9
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BoolFilter
Licenses: Artistic License 2.0
Build system: r
Synopsis: Optimal Estimation of Partially Observed Boolean Dynamical Systems
Description:

This package provides tools for optimal and approximate state estimation as well as network inference of Partially-Observed Boolean Dynamical Systems.

r-bfboin 0.1.1
Propagated dependencies: r-purrr@1.2.0 r-boin@2.7.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://openpharma.github.io/bfboin/
Licenses: GPL 3+
Build system: r
Synopsis: Operating Characteristics for the Bayesian Optimal Interval Design with Back Filling
Description:

Calculate the operating characteristics of the Bayesian Optimal Interval with Back Filling Design for dose escalation in early-phase oncology trials.

r-binpackr 0.2.0
Propagated dependencies: r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/lschneiderbauer/binpackr
Licenses: GPL 3+
Build system: r
Synopsis: Fast 1d Bin Packing
Description:

This package implements the First Fit Decreasing algorithm to achieve one dimensional heuristic bin packing. Runtime is of order O(n log(n)) where n is the number of items to pack. See "The Art of Computer Programming Vol. 1" by Donald E. Knuth (1997, ISBN: 0201896834) for more details.

r-betaclust 1.0.5
Propagated dependencies: r-scales@1.4.0 r-proc@1.19.0.1 r-plotly@4.11.0 r-ggplot2@4.0.1 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://cran.r-project.org/package=betaclust
Licenses: GPL 3
Build system: r
Synopsis: Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data
Description:

This package provides a family of novel beta mixture models (BMMs) has been developed by Majumdar et al. (2022) <doi:10.48550/arXiv.2211.01938> to appositely model the beta-valued cytosine-guanine dinucleotide (CpG) sites, to objectively identify methylation state thresholds and to identify the differentially methylated CpG (DMC) sites using a model-based clustering approach. The family of beta mixture models employs different parameter constraints applicable to different study settings. The EM algorithm is used for parameter estimation, with a novel approximation during the M-step providing tractability and ensuring computational feasibility.

r-bandit 0.5.1
Propagated dependencies: r-gam@1.22-6 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bandit
Licenses: GPL 3
Build system: r
Synopsis: Functions for Simple a/B Split Test and Multi-Armed Bandit Analysis
Description:

This package provides a set of functions for doing analysis of A/B split test data and web metrics in general.

r-boltzmm 0.1.5
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://cran.r-project.org/package=BoltzMM
Licenses: GPL 3
Build system: r
Synopsis: Boltzmann Machines with MM Algorithms
Description:

This package provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines. It follows the methods described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.

r-boral 2.0.3
Propagated dependencies: r-reshape2@1.4.5 r-r2jags@0.8-9 r-mvtnorm@1.3-3 r-mass@7.3-65 r-lifecycle@1.0.4 r-fishmod@0.29.2 r-corpcor@1.6.10 r-coda@0.19-4.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=boral
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Ordination and Regression AnaLysis
Description:

Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via Three. JAGS types of models may be fitted: 1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.

r-baymds 2.1
Propagated dependencies: r-shinythemes@1.2.0 r-shiny@1.11.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progress@1.2.3 r-ggpubr@0.6.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bayMDS
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Multidimensional Scaling and Choice of Dimension
Description:

Bayesian approach to multidimensional scaling. The package consists of implementations of the methods of Oh and Raftery (2001) <doi:10.1198/016214501753208690>.

r-bayesmix 0.7-6
Propagated dependencies: r-rjags@4-17 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://statmath.wu.ac.at/~gruen/BayesMix/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Bayesian Mixture Models with JAGS
Description:

Fits finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework.

r-brif 1.4.1
Propagated dependencies: 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=brif
Licenses: GPL 2+
Build system: r
Synopsis: Tree and Forest Tool for Classification and Regression
Description:

Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through OpenMP <https://gcc.gnu.org/wiki/openmp>.

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