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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-boj 0.3.4
Propagated dependencies: r-xml2@1.5.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rvest@1.0.5 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://github.com/stefanangrick/BOJ
Licenses: Expat
Build system: r
Synopsis: Interface to Bank of Japan Statistics
Description:

This package provides an interface to Bank of Japan <https://www.boj.or.jp> statistics.

r-basinetentropy 0.99.6
Propagated dependencies: r-randomforest@4.7-1.2 r-igraph@2.2.1 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BASiNETEntropy
Licenses: GPL 3
Build system: r
Synopsis: Classification of RNA Sequences using Complex Network and Information Theory
Description:

It makes the creation of networks from sequences of RNA, with this is done the abstraction of characteristics of these networks with a methodology of maximum entropy for the purpose of making a classification between the classes of the sequences. There are two data present in the BASiNET package, "mRNA", and "ncRNA" with 10 sequences. These sequences were taken from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run examples.

r-bracer 1.2.2
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://trevorldavis.com/R/bracer/
Licenses: Expat
Build system: r
Synopsis: Brace Expansions
Description:

This package performs brace expansions on strings. Made popular by Unix shells, brace expansion allows users to concisely generate certain character vectors by taking a single string and (recursively) expanding the comma-separated lists and double-period-separated integer and character sequences enclosed within braces in that string. The double-period-separated numeric integer expansion also supports padding the resulting numbers with zeros.

r-bop2fe 1.0.3
Propagated dependencies: r-patchwork@1.3.2 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://github.com/belayb/BOP2FE
Licenses: Expat
Build system: r
Synopsis: Bayesian Optimal Phase II Design with Futility and Efficacy Stopping Boundaries
Description:

Bayesian optimal design with futility and efficacy stopping boundaries (BOP2-FE) is a novel statistical framework for single-arm Phase II clinical trials. It enables early termination for efficacy when interim data are promising, while explicitly controlling Type I and Type II error rates. The design supports a variety of endpoint structures, including single binary endpoints, nested endpoints, co-primary endpoints, and joint monitoring of efficacy and toxicity. The package provides tools for enumerating stopping boundaries prior to trial initiation and for conducting simulation studies to evaluate the designâ s operating characteristics. Users can flexibly specify design parameters to suit their specific applications. For methodological details, refer to Xu et al. (2025) <doi:10.1080/10543406.2025.2558142>.

r-bisrna 0.2.2
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=BisRNA
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of RNA Cytosine-5 Methylation
Description:

Bisulfite-treated RNA non-conversion in a set of samples is analysed as follows : each sample's non-conversion distribution is identified to a Poisson distribution. P-values adjusted for multiple testing are calculated in each sample. Combined non-conversion P-values and standard errors are calculated on the intersection of the set of samples. For further details, see C Legrand, F Tuorto, M Hartmann, R Liebers, D Jakob, M Helm and F Lyko (2017) <doi:10.1101/gr.210666.116>.

r-bucss 1.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BUCSS
Licenses: GPL 3+
Build system: r
Synopsis: Bias and Uncertainty Corrected Sample Size
Description:

Bias- and Uncertainty-Corrected Sample Size. BUCSS implements a method of correcting for publication bias and uncertainty when planning sample sizes in a future study from an original study. See Anderson, Kelley, & Maxwell (2017; Psychological Science, 28, 1547-1562).

r-bayesppd 1.1.3
Propagated dependencies: r-rcppnumerical@0.6-0 r-rcppeigen@0.3.4.0.2 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://cran.r-project.org/package=BayesPPD
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Power Prior Design
Description:

Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at <doi:10.32614/RJ-2023-016>. Models for time-to-event outcomes are implemented in the R package BayesPPDSurv'. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.

r-binarize 1.3.2
Propagated dependencies: r-diptest@0.77-2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=Binarize
Licenses: Artistic License 2.0
Build system: r
Synopsis: Binarization of One-Dimensional Data
Description:

This package provides methods for the binarization of one-dimensional data and some visualization functions.

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-bondanalyst 1.0.1
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bondAnalyst
Licenses: GPL 3
Build system: r
Synopsis: Methods for Fixed-Income Valuation, Risk and Return
Description:

Bond Pricing and Fixed-Income Valuation of Selected Securities included here serve as a quick reference of Quantitative Methods for undergraduate courses on Fixed-Income and CFA Level I Readings on Fixed-Income Valuation, Risk and Return. CFA Institute ("CFA Program Curriculum 2020 Level I Volumes 1-6. (Vol. 5, pp. 107-151, pp. 237-299)", 2019, ISBN: 9781119593577). Barbara S. Petitt ("Fixed Income Analysis", 2019, ISBN: 9781119628132). Frank J. Fabozzi ("Handbook of Finance: Financial Markets and Instruments", 2008, ISBN: 9780470078143). Frank J. Fabozzi ("Fixed Income Analysis", 2007, ISBN: 9780470052211).

r-birankr 1.0.1
Propagated dependencies: r-matrix@1.7-4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=birankr
Licenses: Expat
Build system: r
Synopsis: Ranking Nodes in Bipartite and Weighted Networks
Description:

Highly efficient functions for estimating various rank (centrality) measures of nodes in bipartite graphs (two-mode networks). Includes methods for estimating HITS, CoHITS, BGRM, and BiRank with implementation primarily inspired by He et al. (2016) <doi:10.1109/TKDE.2016.2611584>. Also provides easy-to-use tools for efficiently estimating PageRank in one-mode graphs, incorporating or removing edge-weights during rank estimation, projecting two-mode graphs to one-mode, and for converting edgelists and matrices to sparseMatrix format. Best of all, the package's rank estimators can work directly with common formats of network data including edgelists (class data.frame, data.table, or tbl_df) and adjacency matrices (class matrix or dgCMatrix).

r-bpbounds 0.1.6
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/remlapmot/bpbounds
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions
Description:

Implementation of the nonparametric bounds for the average causal effect under an instrumental variable model by Balke and Pearl (Bounds on Treatment Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439, 1171-1176, <doi:10.2307/2965583>). The package can calculate bounds for a binary outcome, a binary treatment/phenotype, and an instrument with either 2 or 3 categories. The package implements bounds for situations where these 3 variables are measured in the same dataset (trivariate data) or where the outcome and instrument are measured in one study and the treatment/phenotype and instrument are measured in another study (bivariate data).

r-batman 0.1.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ironholds/batman
Licenses: Expat
Build system: r
Synopsis: Convert Categorical Representations of Logicals to Actual Logicals
Description:

Survey systems and other third-party data sources commonly use non-standard representations of logical values when it comes to qualitative data - "Yes", "No" and "N/A", say. batman is a package designed to seamlessly convert these into logicals. It is highly localised, and contains equivalents to boolean values in languages including German, French, Spanish, Italian, Turkish, Chinese and Polish.

r-baskettrial 0.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BasketTrial
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Basket Trial Design and Analysis
Description:

This package provides tools for Bayesian basket trial design and analysis using a novel three-component local power prior framework with global borrowing control, pairwise similarity assessment and a borrowing threshold. Supports simulation-based evaluation of operating characteristics and comparison with other methods. Applicable to both equal and unequal sample size settings in early-phase oncology trials. For more details see Zhou et al. (2023) <doi:10.48550/arXiv.2312.15352>.

r-bpcp 1.4.2
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=bpcp
Licenses: GPL 2+
Build system: r
Synopsis: Beta Product Confidence Procedure for Right Censored Data
Description:

Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain <DOI:10.1002/sim.6905>]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain <DOI:10.1111/biom.12231>]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.

r-backbone 3.0.3
Propagated dependencies: r-rcpp@1.1.0 r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://www.zacharyneal.com/backbone
Licenses: GPL 3
Build system: r
Synopsis: Extracts the Backbone from Networks
Description:

An implementation of methods for extracting a sparse unweighted network (i.e. a backbone) from an unweighted network (e.g., Hamann et al., 2016 <doi:10.1007/s13278-016-0332-2>), a weighted network (e.g., Serrano et al., 2009 <doi:10.1073/pnas.0808904106>), or a weighted projection (e.g., Neal et al., 2021 <doi:10.1038/s41598-021-03238-3>).

r-boxcoxmix 0.46
Propagated dependencies: r-statmod@1.5.1 r-qicharts@0.5.10 r-npmlreg@0.46-5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://gitlab.com/iagogv/boxcoxmix
Licenses: GPL 3+
Build system: r
Synopsis: Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects
Description:

Box-Cox-type transformations for linear and logistic models with random effects using non-parametric profile maximum likelihood estimation, as introduced in Almohaimeed (2018) <http://etheses.dur.ac.uk/12831/> and Almohaimeed and Einbeck (2022) <doi:10.1177/1471082X20966919>. The main functions are optim.boxcox() for linear models with random effects and boxcoxtype() for logistic models with random effects.

r-bionetdata 1.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bionetdata
Licenses: GPL 2+
Build system: r
Synopsis: Biological and Chemical Data Networks
Description:

Data Package that includes several examples of chemical and biological data networks, i.e. data graph structured.

r-boundedgeworth 0.1.3
Propagated dependencies: r-expint@0.1-9
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/AlexisDerumigny/BoundEdgeworth
Licenses: GPL 3
Build system: r
Synopsis: Bound on the Error of the First-Order Edgeworth Expansion
Description:

Computes uniform bounds on the distance between the cumulative distribution function of a standardized sum of random variables and its first-order Edgeworth expansion, following the article Derumigny, Girard, Guyonvarch (2023) <doi:10.1007/s13171-023-00320-y>.

r-brokenadaptiveridge 1.0.2
Propagated dependencies: r-parallellogger@3.5.1 r-cyclops@3.6.0 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BrokenAdaptiveRidge
Licenses: ASL 2.0
Build system: r
Synopsis: Broken Adaptive Ridge Regression with Cyclops
Description:

Approximates best-subset selection (L0) regression with an iteratively adaptive Ridge (L2) penalty for large-scale models. This package uses Cyclops for an efficient implementation and the iterative method is described in Kawaguchi et al (2020) <doi:10.1002/sim.8438> and Li et al (2021) <doi:10.1016/j.jspi.2020.12.001>.

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-bagged-outliertrees 1.0.0
Propagated dependencies: r-rlist@0.4.6.2 r-outliertree@1.10.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-dosnow@1.0.20 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/RafaJPSantos/bagged.outliertrees
Licenses: Expat
Build system: r
Synopsis: Robust Explainable Outlier Detection Based on OutlierTree
Description:

Bagged OutlierTrees is an explainable unsupervised outlier detection method based on an ensemble implementation of the existing OutlierTree procedure (Cortes, 2020). This implementation takes advantage of bootstrap aggregating (bagging) to improve robustness by reducing the possible masking effect and subsequent high variance (similarly to Isolation Forest), hence the name "Bagged OutlierTrees". To learn more about the base procedure OutlierTree (Cortes, 2020), please refer to <arXiv:2001.00636>.

r-bda 19.0.0
Propagated dependencies: 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=bda
Licenses: FSDG-compatible
Build system: r
Synopsis: Binned Data Analysis
Description:

Algorithms developed for binned data analysis, gene expression data analysis and measurement error models for ordinal data analysis.

r-bkmr 0.2.2
Propagated dependencies: r-truncnorm@1.0-9 r-tmvtnorm@1.7 r-tidyr@1.3.1 r-tibble@3.3.0 r-nlme@3.1-168 r-mass@7.3-65 r-magrittr@2.0.4 r-fields@17.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/jenfb/bkmr
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Kernel Machine Regression
Description:

Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures, as described in Bobb et al (2015) <doi:10.1093/biostatistics/kxu058>.

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Total results: 68658