_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-bdlp 0.9-2
Propagated dependencies: r-stringdist@0.9.15 r-rsqlite@2.4.4 r-rgl@1.3.31 r-multiord@2.4.4 r-mass@7.3-65 r-genord@2.0.0 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bdlp
Licenses: GPL 2
Build system: r
Synopsis: Transparent and Reproducible Artificial Data Generation
Description:

The main function generateDataset() processes a user-supplied .R file that contains metadata parameters in order to generate actual data. The metadata parameters have to be structured in the form of metadata objects, the format of which is outlined in the package vignette. This approach allows to generate artificial data in a transparent and reproducible manner.

r-bootes 1.3.1
Propagated dependencies: r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/dgerlanc/bootES
Licenses: GPL 2+
Build system: r
Synopsis: Bootstrap Confidence Intervals on Effect Sizes
Description:

Calculate robust measures of effect sizes using the bootstrap.

r-batchmix 2.2.1
Propagated dependencies: r-tidyr@1.3.1 r-salso@0.3.57 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/stcolema/batchmix
Licenses: GPL 3
Build system: r
Synopsis: Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction
Description:

Semi-supervised and unsupervised Bayesian mixture models that simultaneously infer the cluster/class structure and a batch correction. Densities available are the multivariate normal and the multivariate t. The model sampler is implemented in C++. This package is aimed at analysis of low-dimensional data generated across several batches. See Coleman et al. (2022) <doi:10.1101/2022.01.14.476352> for details of the model.

r-boolfilter 1.0.0
Propagated dependencies: r-rlab@4.5.1 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-blindspiker 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-magrittr@2.0.4 r-gt@1.3.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-bingroup@2.2-3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/markhogue/blindspiker
Licenses: GPL 3
Build system: r
Synopsis: Laboratory Blind Spike Sample Analyses
Description:

This package provides a blind spike program provides samples to a laboratory in order to perform quality control (QC) checks. The samples provided are of a known quantity to the tester. The laboratory is typically uninformed of that the sample provided is a QC sample.

r-bloq 0.1-2
Propagated dependencies: r-mvtnorm@1.3-3 r-maxlik@1.5-2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BLOQ
Licenses: GPL 2+
Build system: r
Synopsis: Methods to Impute and Analyze Data with BLOQ Observations
Description:

This package provides methods for estimating the area under the concentration versus time curve (AUC) and its standard error in the presence of Below the Limit of Quantification (BLOQ) observations. Two approaches are implemented: direct estimation using censored maximum likelihood, and a two-step approach that first imputes BLOQ values using various methods and then computes the AUC using the imputed data. Technical details are described in Barnett et al. (2020), "Methods for Non-Compartmental Pharmacokinetic Analysis With Observations Below the Limit of Quantification," Statistics in Biopharmaceutical Research. <doi:10.1080/19466315.2019.1701546>.

r-bat 2.11.0
Propagated dependencies: r-vegan@2.7-2 r-treetools@2.1.0 r-terra@1.8-86 r-phytools@2.5-2 r-nls2@0.3-4 r-mass@7.3-65 r-hypervolume@3.1.6 r-geometry@0.5.2 r-boot@1.3-32 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=BAT
Licenses: GPL 3
Build system: r
Synopsis: Biodiversity Assessment Tools
Description:

Includes algorithms to assess alpha and beta diversity in all their dimensions (taxonomic, phylogenetic and functional). It allows performing a number of analyses based on species identities/abundances, phylogenetic/functional distances, trees, convex-hulls or kernel density n-dimensional hypervolumes depicting species relationships. Cardoso et al. (2015) <doi:10.1111/2041-210X.12310>.

r-bsub 2.0.6
Propagated dependencies: r-ssh@0.9.4 r-igraph@2.2.1 r-globaloptions@0.1.2 r-getoptlong@1.0.5 r-digest@0.6.39 r-crayon@1.5.3 r-codetools@0.2-20 r-clisymbols@1.2.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/jokergoo/bsub
Licenses: Expat
Build system: r
Synopsis: Submitter and Monitor of the 'LSF Cluster'
Description:

It submits R code/R scripts/shell commands to LSF cluster (<https://en.wikipedia.org/wiki/Platform_LSF>, the bsub system) without leaving R. There is also an interactive shiny application for monitoring job status.

r-bang 1.0.4
Propagated dependencies: r-rust@1.4.4 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://paulnorthrop.github.io/bang/
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Analysis, No Gibbs
Description:

This package provides functions for the Bayesian analysis of some simple commonly-used models, without using Markov Chain Monte Carlo (MCMC) methods such as Gibbs sampling. The rust package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution, using the generalized ratio-of-uniforms method. See Wakefield, Gelfand and Smith (1991) <DOI:10.1007/BF01889987> for details. At the moment three conjugate hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way analysis of variance (ANOVA).

r-boundingbox 1.0.1
Propagated dependencies: r-imager@1.0.5 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: <https://github.com/stomperusa/boundingbox>
Licenses: Expat
Build system: r
Synopsis: Create a Bounding Box in an Image
Description:

Generate ground truth cases for object localization algorithms. Cycle through a list of images, select points around which to generate bounding boxes and assign classifiers. Output the coordinates, and images annotated with boxes and labels. For an example study that uses bounding boxes for image localization and classification see Ibrahim, Badr, Abdallah, and Eissa (2012) "Bounding Box Object Localization Based on Image Superpixelization" <doi:10.1016/j.procs.2012.09.119>.

r-bayesess 0.1.19
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mcmcpack@1.7-1 r-matrixmodels@0.5-4 r-mass@7.3-65 r-laplacesdemon@16.1.6 r-dfcrm@0.2-2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesESS
Licenses: GPL 2+
Build system: r
Synopsis: Determining Effective Sample Size
Description:

Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-based Shiny application related to this package, see <https://implement.shinyapps.io/bayesess/>.

r-branching 0.9.7
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=Branching
Licenses: GPL 2+
Build system: r
Synopsis: Simulation and Estimation for Branching Processes
Description:

Simulation and parameter estimation of multitype Bienayme - Galton - Watson processes.

r-boutliers 2.1-3
Propagated dependencies: r-metafor@4.8-0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=boutliers
Licenses: GPL 3
Build system: r
Synopsis: Outlier Detection and Influence Diagnostics for Meta-Analysis
Description:

Computational tools for outlier detection and influence diagnostics in meta-analysis (Noma et al. (2025) <doi:10.1101/2025.09.18.25336125>). Bootstrap distributions of influence statistics are computed, and explicit thresholds for identifying outliers are provided. These methods can also be applied to the analysis of influential centers or regions in multicenter or multiregional clinical trials (Aoki, Noma and Gosho (2021) <doi:10.1080/24709360.2021.1921944>, Nakamura and Noma (2021) <doi:10.5691/jjb.41.117>).

r-betadelta 1.0.6
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/jeksterslab/betaDelta
Licenses: Expat
Build system: r
Synopsis: Confidence Intervals for Standardized Regression Coefficients
Description:

Generates confidence intervals for standardized regression coefficients using delta method standard errors for models fitted by lm() as described in Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6> and Jones and Waller (2015) <doi:10.1007/s11336-013-9380-y>. The package can also be used to generate confidence intervals for differences of standardized regression coefficients and as a general approach to performing the delta method. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.

r-bhpm 1.8.1
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/rcarragh/bhpm
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering
Description:

Bayesian hierarchical methods for the detection of differences in rates of related outcomes for multiple treatments for clustered observations (Carragher et al. (2020) <doi:10.1002/sim.8563>). This software was developed for the Precision Drug Theraputics: Risk Prediction in Pharmacoepidemiology project as part of a Rutherford Fund Fellowship at Health Data Research (UK), Medical Research Council (UK) award reference MR/S003967/1 (<https://gtr.ukri.org/>). Principal Investigator: Raymond Carragher.

r-bpnreg 2.0.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-haven@2.5.5 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/joliencremers/bpnreg
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Projected Normal Regression Models for Circular Data
Description:

Fitting Bayesian multiple and mixed-effect regression models for circular data based on the projected normal distribution. Both continuous and categorical predictors can be included. Sampling from the posterior is performed via an MCMC algorithm. Posterior descriptives of all parameters, model fit statistics and Bayes factors for hypothesis tests for inequality constrained hypotheses are provided. See Cremers, Mulder & Klugkist (2018) <doi:10.1111/bmsp.12108> and Nuñez-Antonio & Guttiérez-Peña (2014) <doi:10.1016/j.csda.2012.07.025>.

r-blatr 1.0.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=blatr
Licenses: Expat
Build system: r
Synopsis: Send Emails Using 'Blat' for Windows
Description:

This package provides a wrapper around the Blat command line SMTP mailer for Windows. Blat is public domain software, but be sure to read the license before use. It can be found at the Blat website http://www.blat.net.

r-bammtools 2.1.12
Propagated dependencies: r-rcpp@1.1.0 r-gplots@3.2.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: http://bamm-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Analysis and Visualization of Macroevolutionary Dynamics on Phylogenetic Trees
Description:

This package provides functions for analyzing and visualizing complex macroevolutionary dynamics on phylogenetic trees. It is a companion package to the command line program BAMM (Bayesian Analysis of Macroevolutionary Mixtures) and is entirely oriented towards the analysis, interpretation, and visualization of evolutionary rates. Functionality includes visualization of rate shifts on phylogenies, estimating evolutionary rates through time, comparing posterior distributions of evolutionary rates across clades, comparing diversification models using Bayes factors, and more.

r-batsch 0.1.1
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ramiromagno/batsch
Licenses: FSDG-compatible
Build system: r
Synopsis: Real-Time PCR Data Sets by Batsch et al. (2008)
Description:

Real-time quantitative polymerase chain reaction (qPCR) data sets by Batsch et al. (2008) <doi:10.1186/1471-2105-9-95>. This package provides five data sets, one for each PCR target: (i) rat SLC6A14, (ii) human SLC22A13, (iii) pig EMT, (iv) chicken ETT, and (v) human GAPDH. Each data set comprises a five-point, four-fold dilution series. For each concentration there are three replicates. Each amplification curve is 45 cycles long. Original raw data file: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-95/MediaObjects/12859_2007_2080_MOESM5_ESM.xls>.

r-bullseye 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-polycor@0.8-1 r-labeling@0.4.3 r-ggplot2@4.0.1 r-ggiraph@0.9.2 r-dplyr@1.1.4 r-dendser@1.0.2 r-colorspace@2.1-2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cbhurley.github.io/bullseye/
Licenses: Expat
Build system: r
Synopsis: Visualising Multiple Pairwise Variable Correlations and Other Scores
Description:

We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.

r-bonn 1.0.3
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/sumtxt/bonn/
Licenses: GPL 3
Build system: r
Synopsis: Access INKAR Database
Description:

Retrieve and import data from the INKAR database (Indikatoren und Karten zur Raum- und Stadtentwicklung Datenbank, <https://www.inkar.de>) of the Federal Office for Building and Regional Planning (BBSR) in Bonn using their JSON API.

r-biogas 1.64.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/sashahafner/biogas/
Licenses: GPL 2
Build system: r
Synopsis: Process Biogas Data and Predict Biogas Production
Description:

This package provides functions for calculating biochemical methane potential (BMP) from laboratory measurements and other types of data processing and prediction useful for biogas research. Raw laboratory measurements for diverse methods (volumetric, manometric, gravimetric, gas density) can be processed to calculate BMP. Theoretical maximum BMP or methane or biogas yield can be predicted from various measures of substrate composition. Molar mass and calculated oxygen demand (COD') can be determined from a chemical formula. Measured gas volume can be corrected for water vapor and to standard (or user-defined) temperature and pressure. Gas quantity can be converted between volume, mass, and moles. A function for planning BMP experiments can consider multiple constraints in suggesting substrate or inoculum quantities, and check for problems. Inoculum and substrate mass can be determined for planning BMP experiments. Finally, a set of first-order models can be fit to measured methane production rate or cumulative yield in order to extract estimates of ultimate yield and kinetic constants. See Hafner et al. (2018) <doi:10.1016/j.softx.2018.06.005> for details. OBA is a web application that provides access to some of the package functionality: <https://biotransformers.shinyapps.io/oba1/>. The Standard BMP Methods website documents the calculations in detail: <https://www.dbfz.de/en/BMP>.

r-bootct 2.1.0
Propagated dependencies: r-vars@1.6-1 r-usethis@3.2.1 r-urca@1.3-4 r-stringr@1.6.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-magrittr@2.0.4 r-gtools@3.9.5 r-dynamac@0.1.12 r-dplyr@1.1.4 r-ardl@0.2.4 r-aod@1.3.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bootCT
Licenses: GPL 2+
Build system: r
Synopsis: Bootstrapping the ARDL Tests for Cointegration
Description:

The bootstrap ARDL tests for cointegration is the main functionality of this package. It also acts as a wrapper of the most commond ARDL testing procedures for cointegration: the bound tests of Pesaran, Shin and Smith (PSS; 2001 - <doi:10.1002/jae.616>) and the asymptotic test on the independent variables of Sam, McNown and Goh (SMG: 2019 - <doi:10.1016/j.econmod.2018.11.001>). Bootstrap and bound tests are performed under both the conditional and unconditional ARDL models.

r-botor 0.4.1
Propagated dependencies: r-reticulate@1.44.1 r-logger@0.4.1 r-jsonlite@2.0.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://daroczig.github.io/botor/
Licenses: AGPL 3
Build system: r
Synopsis: 'AWS Python SDK' ('boto3') for R
Description:

Fork-safe, raw access to the Amazon Web Services ('AWS') SDK via the boto3 Python module, and convenient helper functions to query the Simple Storage Service ('S3') and Key Management Service ('KMS'), partial support for IAM', the Systems Manager Parameter Store and Secrets Manager'.

Page: 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887
Total results: 21283