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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-bgdata 2.4.1
Propagated dependencies: r-synchronicity@1.3.10 r-symdmatrix@2.1.1 r-linkedmatrix@1.4.0 r-ff@4.5.2 r-crochet@2.3.0 r-bit@4.6.0 r-bigmemory@4.6.4 r-bedmatrix@2.0.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/QuantGen/BGData
Licenses: Expat
Build system: r
Synopsis: Suite of Packages for Analysis of Big Genomic Data
Description:

An umbrella package providing a phenotype/genotype data structure and scalable and efficient computational methods for large genomic datasets in combination with several other packages: BEDMatrix', LinkedMatrix', and symDMatrix'.

r-bayessurvival 0.2.0
Propagated dependencies: r-survival@3.8-3 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=BayesSurvival
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Survival Analysis for Right Censored Data
Description:

This package performs unadjusted Bayesian survival analysis for right censored time-to-event data. The main function, BayesSurv(), computes the posterior mean and a credible band for the survival function and for the cumulative hazard, as well as the posterior mean for the hazard, starting from a piecewise exponential (histogram) prior with Gamma distributed heights that are either independent, or have a Markovian dependence structure. A function, PlotBayesSurv(), is provided to easily create plots of the posterior means of the hazard, cumulative hazard and survival function, with a credible band accompanying the latter two. The priors and samplers are described in more detail in Castillo and Van der Pas (2020) "Multiscale Bayesian survival analysis" <arXiv:2005.02889>. In that paper it is also shown that the credible bands for the survival function and the cumulative hazard can be considered confidence bands (under mild conditions) and thus offer reliable uncertainty quantification.

r-blaise 1.3.11
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-readr@2.1.6 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=blaise
Licenses: GPL 3
Build system: r
Synopsis: Read and Write FWF Files in the 'Blaise' Format
Description:

Can be used to read and write a fwf with an accompanying Blaise datamodel. Blaise is the software suite built by Statistics Netherlands (CBS). It is essentially a way to write and collect surveys and perform statistical analysis on the data. It stores its data in fixed width format with an accompanying metadata file, this is the Blaise format. The package automatically interprets this metadata and reads the file into an R dataframe. When supplying a datamodel for writing, the dataframe will be automatically converted to that format and checked for compatibility. Supports dataframes, tibbles and LaF objects. For more information about Blaise', see <https://blaise.com/products/general-information>.

r-bayesrep 0.42.2
Propagated dependencies: r-lamw@2.2.5 r-hypergeo@1.2-14
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/SamCH93/BayesRep
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Analysis of Replication Studies
Description:

This package provides tools for the analysis of replication studies using Bayes factors (Pawel and Held, 2022) <doi:10.1111/rssb.12491>.

r-boxly 0.1.1
Propagated dependencies: r-uuid@1.2-1 r-rlang@1.1.6 r-plotly@4.11.0 r-metalite@0.1.4 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-ggplot2@4.0.1 r-dt@0.34.0 r-crosstalk@1.2.2 r-brew@1.0-10
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://merck.github.io/boxly/
Licenses: GPL 3+
Build system: r
Synopsis: Interactive Box Plot
Description:

Interactive box plot using plotly for clinical trial analysis.

r-bstzinb 2.0.1
Propagated dependencies: r-viridis@0.6.5 r-spam@2.11-1 r-reshape@0.8.10 r-msm@1.8.2 r-mcmcpack@1.7-1 r-matrixcalc@1.0-6 r-maps@3.4.3 r-gtsummary@2.5.0 r-gt@1.3.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1 r-boot@1.3-32 r-bayeslogit@2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/SumanM47/BSTZINB
Licenses: GPL 3+
Build system: r
Synopsis: Association Among Disease Counts and Socio-Environmental Factors
Description:

Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.

r-butterfly 1.1.2
Propagated dependencies: r-waldo@0.6.2 r-rlang@1.1.6 r-lifecycle@1.0.4 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://docs.ropensci.org/butterfly/
Licenses: Expat
Build system: r
Synopsis: Verification for Continually Updating Time Series Data
Description:

Verification of continually updating time series data where we expect new values, but want to ensure previous data remains unchanged. Data previously recorded could change for a number of reasons, such as discovery of an error in model code, a change in methodology or instrument recalibration. Monitoring data sources for these changes is not always possible. Other unnoticed changes could include a jump in time or measurement frequency, due to instrument failure or software updates. Functionality is provided that can be used to check and flag changes to previous data to prevent changes going unnoticed, as well as unexpected jumps in time.

r-burgle 0.1.2
Propagated dependencies: r-survival@3.8-3 r-riskregression@2025.09.17 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=burgle
Licenses: Expat
Build system: r
Synopsis: 'Burgle': Stealing the Necessary Parts of Model Objects
Description:

This package provides a way to reduce model objects to necessary parts, making them easier to work with, store, share and simulate multiple values for new responses while allowing for parameter uncertainty.

r-belg 1.5.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://r-spatialecology.github.io/belg/
Licenses: Expat
Build system: r
Synopsis: Boltzmann Entropy of a Landscape Gradient
Description:

Calculates the Boltzmann entropy of a landscape gradient. This package uses the analytical method created by Gao, P., Zhang, H. and Li, Z., 2018 (<doi:10.1111/tgis.12315>) and by Gao, P. and Li, Z., 2019 (<doi:10.1007/s10980-019-00854-3>). It also extend the original ideas by allowing calculations on data with missing values.

r-bskyr 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-rlang@1.1.6 r-purrr@1.2.0 r-opengraph@0.0.4 r-mime@0.13 r-magick@2.9.0 r-lubridate@1.9.4 r-httr2@1.2.1 r-fs@1.6.6 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/christopherkenny/bskyr
Licenses: Expat
Build system: r
Synopsis: Interact with 'Bluesky' Social
Description:

Collect data from and make posts on Bluesky Social via the Hypertext Transfer Protocol (HTTP) Application Programming Interface (API), as documented at <https://atproto.com/specs/xrpc>. This further supports broader queries to the Authenticated Transfer (AT) Protocol <https://atproto.com/> which Bluesky Social relies on. Data is returned in a tidy format and posts can be made using a simple interface.

r-biopetsurv 0.1.0
Propagated dependencies: r-survival@3.8-3 r-gridextra@2.3 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=BioPETsurv
Licenses: GPL 2+
Build system: r
Synopsis: Biomarker Prognostic Enrichment Tool for Time-to-Event Trial
Description:

Prognostic Enrichment is a strategy of enriching a clinical trial for testing an intervention intended to prevent or delay an unwanted clinical event. A prognostically enriched trial enrolls only patients who are more likely to experience the unwanted clinical event than the broader patient population (R. Temple (2010) <doi:10.1038/clpt.2010.233>). By testing the intervention in an enriched study population, the trial may be adequately powered with a smaller sample size, which can have both practical and ethical advantages. This package provides tools to evaluate biomarkers for prognostic enrichment of clinical trials with survival/time-to-event outcomes.

r-bayescureratemodel 1.6
Propagated dependencies: r-vgam@1.1-13 r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mclust@6.1.2 r-hdinterval@0.2.4 r-foreach@1.5.2 r-flexsurv@2.3.2 r-doparallel@1.0.17 r-coda@0.19-4.1 r-calculus@1.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/mqbssppe/Bayesian_cure_rate_model
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Cure Rate Modeling for Time-to-Event Data
Description:

This package provides a fully Bayesian approach in order to estimate a general family of cure rate models under the presence of covariates, see Papastamoulis and Milienos (2024) <doi:10.1007/s11749-024-00942-w> and Papastamoulis and Milienos (2024b) <doi:10.48550/arXiv.2409.10221>. The promotion time can be modelled (a) parametrically using typical distributional assumptions for time to event data (including the Weibull, Exponential, Gompertz, log-Logistic distributions), or (b) semiparametrically using finite mixtures of distributions. In both cases, user-defined families of distributions are allowed under some specific requirements. Posterior inference is carried out by constructing a Metropolis-coupled Markov chain Monte Carlo (MCMC) sampler, which combines Gibbs sampling for the latent cure indicators and Metropolis-Hastings steps with Langevin diffusion dynamics for parameter updates. The main MCMC algorithm is embedded within a parallel tempering scheme by considering heated versions of the target posterior distribution.

r-beach 1.3.1
Propagated dependencies: r-xtable@1.8-4 r-writexls@6.8.0 r-shiny@1.11.1 r-sas7bdat@0.8 r-rtf@0.4-14.1 r-rjava@1.0-11 r-plyr@1.8.9 r-haven@2.5.5 r-dt@0.34.0 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://www.pharmasug.org/proceedings/2018/AD/PharmaSUG-2018-AD05.pdf
Licenses: GPL 2+
Build system: r
Synopsis: Biometric Exploratory Analysis Creation House
Description:

This package provides a platform is provided for interactive analyses with a goal of totally easy to develop, deploy, interact, and explore (TEDDIE). Using this package, users can create customized analyses and make them available to end users who can perform interactive analyses and save analyses to RTF or HTML files. It allows developers to focus on R code for analysis, instead of dealing with html or shiny code.

r-bnstruct 1.0.15
Propagated dependencies: r-igraph@2.2.1 r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bnstruct
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Bayesian Network Structure Learning from Data with Missing Values
Description:

Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.

r-bootstrapfp 0.4.6
Propagated dependencies: r-sampling@2.11
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bootstrapFP
Licenses: GPL 3
Build system: r
Synopsis: Bootstrap Algorithms for Finite Population Inference
Description:

Finite Population bootstrap algorithms to estimate the variance of the Horvitz-Thompson estimator for single-stage sampling. For a survey of bootstrap methods for finite populations, see Mashreghi et Al. (2016) <doi:10.1214/16-SS113>.

r-bayesmultmeta 0.1.1
Propagated dependencies: r-rdpack@2.6.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesMultMeta
Licenses: Expat
Build system: r
Synopsis: Bayesian Multivariate Meta-Analysis
Description:

Objective Bayesian inference procedures for the parameters of the multivariate random effects model with application to multivariate meta-analysis. The posterior for the model parameters, namely the overall mean vector and the between-study covariance matrix, are assessed by constructing Markov chains based on the Metropolis-Hastings algorithms as developed in Bodnar and Bodnar (2021) (<arXiv:2104.02105>). The Metropolis-Hastings algorithm is designed under the assumption of the normal distribution and the t-distribution when the Berger and Bernardo reference prior and the Jeffreys prior are assigned to the model parameters. Convergence properties of the generated Markov chains are investigated by the rank plots and the split hat-R estimate based on the rank normalization, which are proposed in Vehtari et al. (2021) (<DOI:10.1214/20-BA1221>).

r-blockr 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-cli@3.6.5 r-blockr-io@0.1.0 r-blockr-ggplot@0.1.0 r-blockr-dplyr@0.1.0 r-blockr-dock@0.1.0 r-blockr-dag@0.1.0 r-blockr-core@0.1.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://bristolmyerssquibb.github.io/blockr/
Licenses: GPL 3+
Build system: r
Synopsis: Block-Based Framework for Data Manipulation and Visualization
Description:

This package provides a framework for building interactive dashboards and document-based reports. Underlying data manipulation and visualization is possible using a web-based point and click user interface.

r-bets-covid19 1.0.0
Propagated dependencies: r-rootsolve@1.8.2.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/qingyuanzhao/bets.covid19
Licenses: FSDG-compatible
Build system: r
Synopsis: The BETS Model for Early Epidemic Data
Description:

This package implements likelihood inference for early epidemic analysis. BETS is short for the four key epidemiological events being modeled: Begin of exposure, End of exposure, time of Transmission, and time of Symptom onset. The package contains a dataset of the trajectory of confirmed cases during the coronavirus disease (COVID-19) early outbreak. More detail of the statistical methods can be found in Zhao et al. (2020) <arXiv:2004.07743>.

r-basicdrm 0.3.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=basicdrm
Licenses: GPL 3+
Build system: r
Synopsis: Fit Hill Dose Response Models
Description:

Evaluate, fit, and analyze Hill dose response models (Goutelle et al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred to as four-parameter log-logistic models. Includes tools to invert Hill models, select models based on the Akaike information criterion (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and construct bootstrapped confidence intervals both on the Hill model parameters and values derived from the Hill model parameters.

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>.

r-bigdatape 0.0.96
Propagated dependencies: r-tibble@3.3.0 r-httr2@1.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: <https://github.com/StrategicProjects/bigdatape>
Licenses: Expat
Build system: r
Synopsis: Secure and Intuitive Access to 'BigDataPE' 'API' Datasets
Description:

Designed to simplify the process of retrieving datasets from the Big Data PE platform using secure token-based authentication. It provides functions for securely storing, retrieving, and managing tokens associated with specific datasets, as well as fetching and processing data using the httr2 package.

r-bvalue 1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=Bvalue
Licenses: GPL 2+
Build system: r
Synopsis: B-Value and Empirical Equivalence Bound
Description:

Calculates B-value and empirical equivalence bound. B-value is defined as the maximum magnitude of a confidence interval; and the empirical equivalence bound is the minimum B-value at a certain level. A new two-stage procedure for hypothesis testing is proposed, where the first stage is conventional hypothesis testing and the second is an equivalence testing procedure using the introduced empirical equivalence bound. See Zhao et al. (2019) "B-Value and Empirical Equivalence Bound: A New Procedure of Hypothesis Testing" <arXiv:1912.13084> for details.

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-bayesmlogit 1.0.1
Propagated dependencies: r-magrittr@2.0.4 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=bayesmlogit
Licenses: GPL 3+
Build system: r
Synopsis: Multistate Life Table (MSLT) Methodology Based on Bayesian Approach
Description:

Create life tables with a Bayesian approach, which can be very useful for modelling a complex health process when considering multiple predisposing factors and multiple coexisting health conditions. Details for this method can be found in: Lynch, Scott, et al., (2022) <doi:10.1177/00811750221112398>; Zang, Emma, et al., (2022) <doi:10.1093/geronb/gbab149>.

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