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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-bssbinom 1.0.0
Propagated dependencies: r-teachingdemos@2.13 r-pscl@1.5.9
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bssbinom
Licenses: Expat
Build system: r
Synopsis: Bayesian Sample Size for Binomial Proportions
Description:

Computation of the minimum sample size using the Average Coverage Criterion or the Average Length Criterion for estimating binomial proportions using beta prior distributions. For more details see Costa (2025) <DOI:10.1007/978-3-031-72215-8_14>.

r-bartmachine 1.4.1.1
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11 r-randomforest@4.7-1.2 r-missforest@1.6.1 r-matrixstats@1.5.0 r-ggplot2@4.0.1 r-checkmate@2.3.3 r-bartmachinejars@1.2.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bartMachine
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Additive Regression Trees
Description:

An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.

r-barborgradient 1.0.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BarBorGradient
Licenses: GPL 3
Build system: r
Synopsis: Function Minimum Approximator
Description:

Tool to find where a function has its lowest value(minimum). The functions can be any dimensions. Recommended use is with eps=10^-10, but can be run with 10^-20, although this depends on the function. Two more methods are in this package, simple gradient method (Gradmod) and Powell method (Powell). These are not recommended for use, their purpose are purely for comparison.

r-bhh2 2016.05.31
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BHH2
Licenses: GPL 2+
Build system: r
Synopsis: Useful Functions for Box, Hunter and Hunter II
Description:

This package provides functions and data sets reproducing some examples in Box, Hunter and Hunter II. Useful for statistical design of experiments, especially factorial experiments.

r-belex 0.1.0
Propagated dependencies: r-xml@3.99-0.20
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=belex
Licenses: GPL 3
Build system: r
Synopsis: Download Historical Data from the Belgrade Stock Exchange
Description:

This package provides tools for downloading historical financial data from the www.belex.rs.

r-bayesmfsurv 0.1.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-fastgp@1.2 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=BayesMFSurv
Licenses: Expat
Build system: r
Synopsis: Bayesian Misclassified-Failure Survival Model
Description:

This package contains a split population survival estimator that models the misclassification probability of failure versus right-censored events. The split population survival estimator is described in Bagozzi et al. (2019) <doi:10.1017/pan.2019.6>.

r-bispdep 1.0-2
Propagated dependencies: r-spdep@1.4-1 r-spdata@2.3.4 r-spatialreg@1.4-2 r-sp@2.2-0 r-sf@1.0-23 r-rcolorbrewer@1.1-3 r-ggplot2@4.0.1 r-combinat@0.0-8 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/carlosm77/bispdep
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Tools for Bivariate Spatial Dependence Analysis
Description:

This package provides a collection of functions to test spatial autocorrelation between variables, including Moran I, Geary C and Getis G together with scatter plots, functions for mapping and identifying clusters and outliers, functions associated with the moments of the previous statistics that will allow testing whether there is bivariate spatial autocorrelation, and a function that allows identifying (visualizing neighbours) on the map, the neighbors of any region once the scheme of the spatial weights matrix has been established.

r-bfi 3.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://hassanpazira.github.io/BFI/
Licenses: Expat
Build system: r
Synopsis: Bayesian Federated Inference
Description:

The Bayesian Federated Inference ('BFI') method combines inference results obtained from local data sets in the separate centers. In this version of the package, the BFI methodology is programmed for linear, logistic and survival regression models. For GLMs, see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>; for survival models, see Pazira, Massa, Weijers, Coolen and Jonker (2025) <doi:10.48550/arXiv.2404.17464>; and for heterogeneous populations, see Jonker, Pazira and Coolen (2025) <doi:10.1017/rsm.2025.6>.

r-bayesx 0.3-3
Propagated dependencies: r-sp@2.2-0 r-shapefiles@0.7.2 r-sf@1.0-23 r-interp@1.1-6 r-colorspace@2.1-2 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=BayesX
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: R Utilities Accompanying the Software Package BayesX
Description:

This package provides functions for exploring and visualising estimation results obtained with BayesX, a free software for estimating structured additive regression models (<https://www.uni-goettingen.de/de/bayesx/550513.html>). In addition, functions that allow to read, write and manipulate map objects that are required in spatial analyses performed with BayesX.

r-boostingdea 0.1.0
Propagated dependencies: r-rglpk@0.6-5.1 r-mlmetrics@1.1.3 r-lpsolveapi@5.5.2.0-17.14 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/itsmeryguillen/boostingDEA
Licenses: AGPL 3+
Build system: r
Synopsis: Boosting Approach to Data Envelopment Analysis
Description:

Includes functions to estimate production frontiers and make ideal output predictions in the Data Envelopment Analysis (DEA) context using both standard models from DEA and Free Disposal Hull (FDH) and boosting techniques. In particular, EATBoosting (Guillen et al., 2023 <doi:10.1016/j.eswa.2022.119134>) and MARSBoosting. Moreover, the package includes code for estimating several technical efficiency measures using different models such as the input and output-oriented radial measures, the input and output-oriented Russell measures, the Directional Distance Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based Measure (SBM).

r-blendstat 1.0.5
Propagated dependencies: r-mass@7.3-65 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=Blendstat
Licenses: GPL 3
Build system: r
Synopsis: Joint Analysis of Experiments with Mixtures and Random Effects
Description:

This package performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.

r-bcrypt 1.2.1
Propagated dependencies: r-openssl@2.3.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://jeroen.r-universe.dev/bcrypt
Licenses: FreeBSD
Build system: r
Synopsis: 'Blowfish' Key Derivation and Password Hashing
Description:

Bindings to the blowfish password hashing algorithm <https://www.openbsd.org/papers/bcrypt-paper.pdf> derived from the OpenBSD implementation.

r-bed 1.6.2
Propagated dependencies: r-visnetwork@2.1.4 r-stringr@1.6.0 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-readr@2.1.6 r-neo2r@2.4.2 r-miniui@0.1.2 r-htmltools@0.5.8.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://patzaw.github.io/BED/
Licenses: GPL 3
Build system: r
Synopsis: Biological Entity Dictionary (BED)
Description:

An interface for the Neo4j database providing mapping between different identifiers of biological entities. This Biological Entity Dictionary (BED) has been developed to address three main challenges. The first one is related to the completeness of identifier mappings. Indeed, direct mapping information provided by the different systems are not always complete and can be enriched by mappings provided by other resources. More interestingly, direct mappings not identified by any of these resources can be indirectly inferred by using mappings to a third reference. For example, many human Ensembl gene ID are not directly mapped to any Entrez gene ID but such mappings can be inferred using respective mappings to HGNC ID. The second challenge is related to the mapping of deprecated identifiers. Indeed, entity identifiers can change from one resource release to another. The identifier history is provided by some resources, such as Ensembl or the NCBI, but it is generally not used by mapping tools. The third challenge is related to the automation of the mapping process according to the relationships between the biological entities of interest. Indeed, mapping between gene and protein ID scopes should not be done the same way than between two scopes regarding gene ID. Also, converting identifiers from different organisms should be possible using gene orthologs information. The method has been published by Godard and van Eyll (2018) <doi:10.12688/f1000research.13925.3>.

r-btdecaylasso 0.1.1
Propagated dependencies: r-optimx@2025-4.9 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=BTdecayLasso
Licenses: GPL 2+
Build system: r
Synopsis: Bradley-Terry Model with Exponential Time Decayed Log-Likelihood and Adaptive Lasso
Description:

We utilize the Bradley-Terry Model to estimate the abilities of teams using paired comparison data. For dynamic approximation of current rankings, we employ the Exponential Decayed Log-likelihood function, and we also apply the Lasso penalty for variance reduction and grouping. The main algorithm applies the Augmented Lagrangian Method described by Masarotto and Varin (2012) <doi:10.1214/12-AOAS581>.

r-binomialtrend 0.0.0.3
Propagated dependencies: r-pheatmap@1.0.13
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=binomialtrend
Licenses: GPL 3
Build system: r
Synopsis: Calculates the Statistical Significance of a Trend in a Set of Measurements
Description:

Detection of a statistically significant trend in the data provided by the user. This is based on the a signed test based on the binomial distribution. The package returns a trend test value, T, and also a p-value. A T value close to 1 indicates a rising trend, whereas a T value close to -1 indicates a decreasing trend. A T value close to 0 indicates no trend. There is also a command to visualize the trend. A test data set called gtsa_data is also available, which has global mean temperatures for January, April, July, and October for the years 1851 to 2022. Reference: Walpole, Myers, Myers, Ye. (2007, ISBN: 0-13-187711-9).

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-baskepro 1.1.1
Propagated dependencies: 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=BaSkePro
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Model to Archaeological Faunal Skeletal Profiles
Description:

Tool to perform Bayesian inference of carcass processing/transport strategy and bone attrition from archaeofaunal skeletal profiles characterized by percentages of MAU (Minimum Anatomical Units). The approach is based on a generative model for skeletal profiles that replicates the two phases of formation of any faunal assemblage: initial accumulation as a function of human transport strategies and subsequent attrition.Two parameters define this model: 1) the transport preference (alpha), which can take any value between - 1 (mostly axial contribution) and 1 (mostly appendicular contribution) following strategies constructed as a function of butchering efficiency of different anatomical elements and the results of ethnographic studies, and 2) degree of attrition (beta), which can vary between 0 (no attrition) and 10 (maximum attrition) and relates the survivorship of bone elements to their maximum bone density. Starting from uniform prior probability distribution functions of alpha and beta, a Monte Carlo Markov Chain sampling based on a random walk Metropolis-Hasting algorithm is adopted to derive the posterior probability distribution functions, which are then available for interpretation. During this process, the likelihood of obtaining the observed percentages of MAU given a pair of parameter values is estimated by the inverse of the Chi2 statistic, multiplied by the proportion of elements within a 1 percent of the observed value. See Ana B. Marin-Arroyo, David Ocio (2018).<doi:10.1080/08912963.2017.1336620>.

r-baqm 0.1.4
Propagated dependencies: r-lmtest@0.9-40 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/CPA-wrk/BAQM
Licenses: GPL 2+
Build system: r
Synopsis: Babson Analytics and Quantitative Methods Tools
Description:

Instructor-developed tools for Analytics and Quantitative Methods (AQM) courses at Babson College. Included are compact descriptive statistics for data frames and lists, expanded reporting and graphics for linear regressions, and formatted reports for best subsets analyses.

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-bltm 0.1.0
Propagated dependencies: r-rfast@2.1.5.2 r-mvnfast@0.2.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/curso-r/bltm
Licenses: Expat
Build system: r
Synopsis: Bayesian Latent Threshold Modeling
Description:

Fits latent threshold model for simulated data and describes how to adjust model using real data. Implements algorithm proposed by Nakajima and West (2013) <doi:10.1080/07350015.2012.747847>. This package has a function to generate data, a function to configure priors and a function to fit the model. Examples may be checked inside the demonstration files.

r-bootstatespace 1.0.3
Propagated dependencies: r-simstatespace@1.2.15 r-dynr@0.1.16-114
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/jeksterslab/bootStateSpace
Licenses: GPL 3+
Build system: r
Synopsis: Bootstrap for State Space Models
Description:

This package provides a streamlined and user-friendly framework for bootstrapping in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. The parametric bootstrap implemented here was developed and applied in Pesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.

r-bigl 1.9.3
Propagated dependencies: r-scales@1.4.0 r-robustbase@0.99-6 r-progress@1.2.3 r-plotly@4.11.0 r-numderiv@2016.8-1.1 r-nleqslv@3.3.5 r-minpack-lm@1.2-4 r-mass@7.3-65 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-htmlwidgets@1.6.4 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/openanalytics/BIGL
Licenses: GPL 3
Build system: r
Synopsis: Biochemically Intuitive Generalized Loewe Model
Description:

Response surface methods for drug synergy analysis. Available methods include generalized and classical Loewe formulations as well as Highest Single Agent methodology. Response surfaces can be plotted in an interactive 3-D plot and formal statistical tests for presence of synergistic effects are available. Implemented methods and tests are described in the article "BIGL: Biochemically Intuitive Generalized Loewe null model for prediction of the expected combined effect compatible with partial agonism and antagonism" by Koen Van der Borght, Annelies Tourny, Rytis Bagdziunas, Olivier Thas, Maxim Nazarov, Heather Turner, Bie Verbist & Hugo Ceulemans (2017) <doi:10.1038/s41598-017-18068-5>.

r-bioregion 1.3.0
Propagated dependencies: r-tidyr@1.3.1 r-sf@1.0-23 r-segmented@2.1-4 r-rmarkdown@2.30 r-rlang@1.1.6 r-rdpack@2.6.4 r-rcpp@1.1.0 r-rcartocolor@2.1.2 r-phangorn@2.12.1 r-matrix@1.7-4 r-mathjaxr@1.8-0 r-igraph@2.2.1 r-httr@1.4.7 r-ggplot2@4.0.1 r-fastkmedoids@1.4 r-fastcluster@1.3.0 r-dynamictreecut@1.63-1 r-dbscan@1.2.3 r-data-table@1.17.8 r-cluster@2.1.8.1 r-bipartite@2.23 r-ape@5.8-1 r-apcluster@1.4.14
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/bioRgeo/bioregion
Licenses: GPL 3
Build system: r
Synopsis: Comparison of Bioregionalization Methods
Description:

The main purpose of this package is to propose a transparent methodological framework to compare bioregionalization methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).

r-bcaboot 0.2-3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://bnaras.github.io/bcaboot/
Licenses: GPL 2+
Build system: r
Synopsis: Bias Corrected Bootstrap Confidence Intervals
Description:

Computation of bootstrap confidence intervals in an almost automatic fashion as described in Efron and Narasimhan (2020, <doi:10.1080/10618600.2020.1714633>).

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Total results: 69112