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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-biwavelet 0.20.22
Propagated dependencies: r-rcpp@1.1.0 r-foreach@1.5.2 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/tgouhier/biwavelet
Licenses: GPL 2+
Build system: r
Synopsis: Conduct Univariate and Bivariate Wavelet Analyses
Description:

This is a port of the WTC MATLAB package written by Aslak Grinsted and the wavelet program written by Christopher Torrence and Gibert P. Compo. This package can be used to perform univariate and bivariate (cross-wavelet, wavelet coherence, wavelet clustering) analyses.

r-bessel 0.7-0
Propagated dependencies: r-rmpfr@1.1-2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://specfun.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Computations and Approximations for Bessel Functions
Description:

Computations for Bessel function for complex, real and partly mpfr (arbitrary precision) numbers; notably interfacing TOMS 644; approximations for large arguments, experiments, etc.

r-bcc1997 0.1.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BCC1997
Licenses: GPL 2+
Build system: r
Synopsis: Calculation of Option Prices Based on a Universal Solution
Description:

Calculates the prices of European options based on the universal solution provided by Bakshi, Cao and Chen (1997) <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic volatility, stochastic interest and random jumps. Please cite their work if this package is used.

r-brada 1.0
Propagated dependencies: r-progress@1.2.3 r-foreach@1.5.2 r-fbst@2.2 r-extradistr@1.10.0 r-dosnow@1.0.20 r-doparallel@1.0.17 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=brada
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Response-Adaptive Design Analysis
Description:

This package provides access to a range of functions for analyzing, applying and visualizing Bayesian response-adaptive trial designs for a binary endpoint. Includes the predictive probability approach and the predictive evidence value designs for binary endpoints.

r-bsearchtools 0.0.61
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/digEmAll/bsearchtools
Licenses: GPL 2+
Build system: r
Synopsis: Binary Search Tools
Description:

Exposes the binary search functions of the C++ standard library (std::lower_bound, std::upper_bound) plus other convenience functions, allowing faster lookups on sorted vectors.

r-bivpois 1.1
Propagated dependencies: r-rfast@2.1.5.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bivpois
Licenses: GPL 2+
Build system: r
Synopsis: Bivariate Poisson Distribution
Description:

Maximum likelihood estimation, random values generation, density computation and other functions for the bivariate Poisson distribution. References include: Kawamura K. (1984). "Direct calculation of maximum likelihood estimator for the bivariate Poisson distribution". Kodai Mathematical Journal, 7(2): 211--221. <doi:10.2996/kmj/1138036908>. Kocherlakota S. and Kocherlakota K. (1992). "Bivariate discrete distributions". CRC Press. <doi:10.1201/9781315138480>. Karlis D. and Ntzoufras I. (2003). "Analysis of sports data by using bivariate Poisson models". Journal of the Royal Statistical Society: Series D (The Statistician), 52(3): 381--393. <doi:10.1111/1467-9884.00366>.

r-bigr 0.6.2
Propagated dependencies: r-vcfr@1.15.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rsamtools@2.26.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-readr@2.1.6 r-rdpack@2.6.4 r-quadprog@1.5-8 r-pwalign@1.6.0 r-janitor@2.2.1 r-dplyr@1.1.4 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/Breeding-Insight/BIGr
Licenses: FSDG-compatible
Build system: r
Synopsis: Breeding Insight Genomics Functions for Polyploid and Diploid Species
Description:

This package provides functions developed within Breeding Insight to analyze diploid and polyploid breeding and genetic data. BIGr provides the ability to filter variant call format (VCF) files, extract single nucleotide polymorphisms (SNPs) from diversity arrays technology missing allele discovery count (DArT MADC) files, and manipulate genotype data for both diploid and polyploid species. It also serves as the core dependency for the BIGapp Shiny app, which provides a user-friendly interface for performing routine genotype analysis tasks such as dosage calling, filtering, principal component analysis (PCA), genome-wide association studies (GWAS), and genomic prediction. For more details about the included breedTools functions, see Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>, and the updog output format, see Gerard et al. (2018) <doi:10.1534/genetics.118.301468>.

r-bdpv 1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bdpv
Licenses: GPL 2+
Build system: r
Synopsis: Inference and Design for Predictive Values in Diagnostic Tests
Description:

Computation of asymptotic confidence intervals for negative and positive predictive values in binary diagnostic tests in case-control studies. Experimental design for hypothesis tests on predictive values.

r-blocksdesign 4.9
Propagated dependencies: r-polynomf@2.0-8 r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: <doi:10.1007/s13253-020-00416-0>
Licenses: GPL 2+
Build system: r
Synopsis: Nested and Crossed Block Designs for Factorial and Unstructured Treatment Sets
Description:

Constructs treatment and block designs for linear treatment models with crossed or nested block factors. The treatment design can be any feasible linear model and the block design can be any feasible combination of crossed or nested block factors. The block design is a sum of one or more block factors and the block design is optimized sequentially with the levels of each successive block factor optimized conditional on all previously optimized block factors. D-optimality is used throughout except for square or rectangular lattice block designs which are constructed algebraically using mutually orthogonal Latin squares. Crossed block designs with interaction effects are optimized using a weighting scheme which allows for differential weighting of first and second-order block effects. Outputs include a table showing the allocation of treatments to blocks and tables showing the achieved D-efficiency factors for each block and treatment design. Edmondson, R.N. Multi-level Block Designs for Comparative Experiments. JABES 25, 500รข 522 (2020) <doi:10.1007/s13253-020-00416-0>.

r-brainr 1.7.0
Propagated dependencies: r-rgl@1.3.31 r-oro-nifti@0.11.4 r-misc3d@0.9-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=brainR
Licenses: GPL 2
Build system: r
Synopsis: Helper Functions to 'misc3d' and 'rgl' Packages for Brain Imaging
Description:

This includes functions for creating 3D and 4D images using WebGL', rgl', and JavaScript commands. This package relies on the X toolkit ('XTK', <https://github.com/xtk/X#readme>).

r-bnptsclust 2.0
Propagated dependencies: r-mvtnorm@1.3-3 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=BNPTSclust
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Nonparametric Algorithm for Time Series Clustering
Description:

This package performs the algorithm for time series clustering described in Nieto-Barajas and Contreras-Cristan (2014).

r-bddkr 0.1.1
Propagated dependencies: r-writexl@1.5.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ozancanozdemir/bddkR
Licenses: Expat
Build system: r
Synopsis: Gathering Monthly Banking Sector Data from BDDK of Turkey
Description:

Fetches monthly financial tables and banking sector data published on the official website of the Banking Regulation and Supervision Agency of Turkey and also enables you to save it as an Excel file. It is a R implementation of the Python package <https://pypi.org/project/bddkdata/>.

r-brinda 0.1.5
Propagated dependencies: r-rlang@1.1.6 r-hmisc@5.2-4 r-dplyr@1.1.4 r-data-table@1.17.8 r-berryfunctions@1.22.13
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/hanqiluo/BRINDA
Licenses: FSDG-compatible
Build system: r
Synopsis: Computation of BRINDA Adjusted Micronutrient Biomarkers for Inflammation
Description:

Inflammation can affect many micronutrient biomarkers and can thus lead to incorrect diagnosis of individuals and to over- or under-estimate the prevalence of deficiency in a population. Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) is a multi-agency and multi-country partnership designed to improve the interpretation of nutrient biomarkers in settings of inflammation and to generate context-specific estimates of risk factors for anemia (Suchdev (2016) <doi:10.3945/an.115.010215>). In the past few years, BRINDA published a series of papers to provide guidance on how to adjust micronutrient biomarkers, retinol binding protein, serum retinol, serum ferritin by Namaste (2020), soluble transferrin receptor (sTfR), serum zinc, serum and Red Blood Cell (RBC) folate, and serum B-12, using inflammation markers, alpha-1-acid glycoprotein (AGP) and/or C-Reactive Protein (CRP) by Namaste (2020) <doi:10.1093/ajcn/nqaa141>, Rohner (2017) <doi:10.3945/ajcn.116.142232>, McDonald (2020) <doi:10.1093/ajcn/nqz304>, and Young (2020) <doi:10.1093/ajcn/nqz303>. The BRINDA inflammation adjustment method mainly focuses on Women of Reproductive Age (WRA) and Preschool-age Children (PSC); however, the general principle of the BRINDA method might apply to other population groups. The BRINDA R package is a user-friendly all-in-one R package that uses a series of functions to implement BRINDA adjustment method, as described above. The BRINDA R package will first carry out rigorous checks and provides users guidance to correct data or input errors (if they occur) prior to inflammation adjustments. After no errors are detected, the package implements the BRINDA inflammation adjustment for up to five micronutrient biomarkers, namely retinol-binding-protein, serum retinol, serum ferritin, sTfR, and serum zinc (when appropriate), using inflammation indicators of AGP and/or CRP for various population groups. Of note, adjustment for serum and RBC folate and serum B-12 is not included in the R package, since evidence shows that no adjustment is needed for these micronutrient biomarkers in either WRA or PSC groups (Young (2020) <doi:10.1093/ajcn/nqz303>).

r-batchmeans 1.0-4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=batchmeans
Licenses: GPL 2+
Build system: r
Synopsis: Consistent Batch Means Estimation of Monte Carlo Standard Errors
Description:

This package provides consistent batch means estimation of Monte Carlo standard errors.

r-bart 2.9.10
Propagated dependencies: r-survival@3.8-3 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=BART
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Additive Regression Trees
Description:

Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information see Sparapani, Spanbauer and McCulloch <doi:10.18637/jss.v097.i01>.

r-borrowr 0.2.0
Propagated dependencies: r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-bart@2.9.10
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=borrowr
Licenses: GPL 3+
Build system: r
Synopsis: Estimate Causal Effects with Borrowing Between Data Sources
Description:

Estimate population average treatment effects from a primary data source with borrowing from supplemental sources. Causal estimation is done with either a Bayesian linear model or with Bayesian additive regression trees (BART) to adjust for confounding. Borrowing is done with multisource exchangeability models (MEMs). For information on BART, see Chipman, George, & McCulloch (2010) <doi:10.1214/09-AOAS285>. For information on MEMs, see Kaizer, Koopmeiners, & Hobbs (2018) <doi:10.1093/biostatistics/kxx031>.

r-braingraph 3.1.1
Propagated dependencies: r-permute@0.9-8 r-matrix@1.7-4 r-mass@7.3-65 r-lattice@0.22-7 r-igraph@2.2.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/cwatson/brainGraph
Licenses: GPL 3
Build system: r
Synopsis: Graph Theory Analysis of Brain MRI Data
Description:

This package provides a set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.

r-blscraper 4.0.1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/keberwein/blscrapeR
Licenses: Expat
Build system: r
Synopsis: An API Wrapper for the United States Bureau of Labor Statistics
Description:

Scrapes various data from <https://www.bls.gov/>. The Bureau of Labor Statistics is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.

r-bapred 1.1
Propagated dependencies: r-sva@3.58.0 r-mnormt@2.1.1 r-mass@7.3-65 r-lme4@1.1-37 r-glmnet@4.1-10 r-fuzzyranktests@0.5 r-fnn@1.1.4.1 r-biobase@2.70.0 r-affyplm@1.86.0 r-affy@1.88.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bapred
Licenses: GPL 2
Build system: r
Synopsis: Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data)
Description:

Various tools dealing with batch effects, in particular enabling the removal of discrepancies between training and test sets in prediction scenarios. Moreover, addon quantile normalization and addon RMA normalization (Kostka & Spang, 2008) is implemented to enable integrating the quantile normalization step into prediction rules. The following batch effect removal methods are implemented: FAbatch, ComBat, (f)SVA, mean-centering, standardization, Ratio-A and Ratio-G. For each of these we provide an additional function which enables a posteriori ('addon') batch effect removal in independent batches ('test data'). Here, the (already batch effect adjusted) training data is not altered. For evaluating the success of batch effect adjustment several metrics are provided. Moreover, the package implements a plot for the visualization of batch effects using principal component analysis. The main functions of the package for batch effect adjustment are ba() and baaddon() which enable batch effect removal and addon batch effect removal, respectively, with one of the seven methods mentioned above. Another important function here is bametric() which is a wrapper function for all implemented methods for evaluating the success of batch effect removal. For (addon) quantile normalization and (addon) RMA normalization the functions qunormtrain(), qunormaddon(), rmatrain() and rmaaddon() can be used.

r-bcsreg 1.1.1
Propagated dependencies: r-generalizedhyperbolic@0.8-7 r-gamlss-dist@6.1-1 r-formula@1.2-5 r-envstats@3.1.0 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ffqueiroz/BCSreg
Licenses: GPL 3+
Build system: r
Synopsis: Box-Cox Symmetric Regression for Non-Negative Data
Description:

This package provides a collection of tools for regression analysis of non-negative data, including strictly positive and zero-inflated observations, based on the class of the Box-Cox symmetric (BCS) distributions and its zero-adjusted extension. The BCS distributions are a class of flexible probability models capable of describing different levels of skewness and tail-heaviness. The package offers a comprehensive regression modeling framework, including estimation and tools for evaluating goodness-of-fit.

r-bayesbio 1.0.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bayesbio
Licenses: GPL 3
Build system: r
Synopsis: Miscellaneous Functions for Bioinformatics and Bayesian Statistics
Description:

This package provides a hodgepodge of hopefully helpful functions. Two of these perform shrinkage estimation: one using a simple weighted method where the user can specify the degree of shrinkage required, and one using James-Stein shrinkage estimation for the case of unequal variances.

r-basksim 2.1.0
Propagated dependencies: r-purrr@1.2.0 r-progressr@0.18.0 r-hdinterval@0.2.4 r-foreach@1.5.2 r-extradistr@1.10.0 r-dofuture@1.1.2 r-bhmbasket@1.0.0 r-arrangements@1.1.9
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/lbau7/basksim
Licenses: GPL 3+
Build system: r
Synopsis: Simulation-Based Calculation of Basket Trial Operating Characteristics
Description:

This package provides a unified syntax for the simulation-based comparison of different single-stage basket trial designs with a binary endpoint and equal sample sizes in all baskets. Methods include the designs by Baumann et al. (2025) <doi:10.1080/19466315.2024.2402275>, Schmitt and Baumann (2025) <doi:10.1080/19466315.2025.2486231>, Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>, Berry et al. (2020) <doi:10.1177/1740774513497539>, and Neuenschwander et al. (2016) <doi:10.1002/pst.1730>. For the latter two designs, the functions are mostly wrappers for functions provided by the package bhmbasket'.

r-beam 2.0.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-knitr@1.50 r-igraph@2.2.1 r-fdrtool@1.2.18 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/gleday/beam
Licenses: GPL 2+
Build system: r
Synopsis: Fast Bayesian Inference in Large Gaussian Graphical Models
Description:

Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.

r-biplotgui 0.0-12
Propagated dependencies: r-tkrplot@0.0-30 r-tcltk2@1.6.1 r-rgl@1.3.31 r-mass@7.3-65 r-kernsmooth@2.23-26 r-deldir@2.0-4 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: http://biplotgui.r-forge.r-project.org/
Licenses: Expat
Build system: r
Synopsis: Interactive Biplots in R
Description:

This package provides a GUI with which users can construct and interact with biplots.

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Total results: 69112