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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-bdribs 1.0.4
Propagated dependencies: r-rjags@4-17
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bdribs
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data
Description:

This package implements Bayesian inference to detect signal from blinded clinical trial when total number of adverse events of special concerns and total risk exposures from all patients are available in the study. For more details see the article by Mukhopadhyay et. al. (2018) titled Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data', in Pharmaceutical Statistics (to appear).

r-bddwc 0.1.15
Propagated dependencies: r-shinyjs@2.1.0 r-shinyfiles@0.9.3 r-shinydashboard@0.7.3 r-shinybs@0.61.1 r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bdDwC
Licenses: GPL 3
Build system: r
Synopsis: Darwinizer: Darwin Core (DwC) Field Names Standardization
Description:

The shiny application bdDwC makes biodiversity data field names Darwin Core compatible.

r-brandwatchr 0.3.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/Phippsy/brandwatchR
Licenses: Expat
Build system: r
Synopsis: 'Brandwatch' API to R
Description:

Interact with the Brandwatch API <https://developers.brandwatch.com/docs>. Allows you to authenticate to the API and obtain data for projects, queries, query groups tags and categories. Also allows you to directly obtain mentions and aggregate data for a specified query or query group.

r-breathtestcore 0.8.10
Dependencies: pandoc@2.19.2
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-signal@1.8-1 r-readxl@1.4.5 r-readr@2.1.6 r-purrr@1.2.0 r-nlme@3.1-168 r-multcomp@1.4-29 r-mass@7.3-65 r-ggplot2@4.0.1 r-ggfittext@0.10.2 r-dplyr@1.1.4 r-broom@1.0.10 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/dmenne/breathtestcore
Licenses: GPL 3
Build system: r
Synopsis: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description:

Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using nls', nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package breathteststan'. For a Shiny GUI, see package dmenne/breathtestshiny on github.

r-bayeslca 1.9
Propagated dependencies: r-nlme@3.1-168 r-mcmcpack@1.7-1 r-fields@17.1 r-e1071@1.7-16 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=BayesLCA
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Latent Class Analysis
Description:

Bayesian Latent Class Analysis using several different methods.

r-bib2df 1.1.2.0
Propagated dependencies: r-stringr@1.6.0 r-humaniformat@0.6.0 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://docs.ropensci.org/bib2df/
Licenses: GPL 3
Build system: r
Synopsis: Parse a BibTeX File to a Data Frame
Description:

Parse a BibTeX file to a data.frame to make it accessible for further analysis and visualization.

r-bayeslife 5.3-1
Propagated dependencies: r-wpp2019@1.1-1 r-hett@0.3-3 r-data-table@1.17.8 r-coda@0.19-4.1 r-car@3.1-3 r-bayestfr@7.4-4
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://bayespop.csss.washington.edu
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Bayesian Projection of Life Expectancy
Description:

Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model <doi:10.1007/s13524-012-0193-x>. Subnational projections are also supported.

r-bioacoustics 0.2.10
Dependencies: fftw@3.3.10
Propagated dependencies: r-tuner@1.4.7 r-stringr@1.6.0 r-rcpp@1.1.0 r-moments@0.14.1 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/wavx/bioacoustics/
Licenses: GPL 3
Build system: r
Synopsis: Analyse Audio Recordings and Automatically Extract Animal Vocalizations
Description:

This package contains all the necessary tools to process audio recordings of various formats (e.g., WAV, WAC, MP3, ZC), filter noisy files, display audio signals, detect and extract automatically acoustic features for further analysis such as classification.

r-broman 0.92
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/kbroman/broman
Licenses: GPL 3
Build system: r
Synopsis: Karl Broman's R Code
Description:

Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.

r-bcmaps 2.2.1
Propagated dependencies: r-xml2@1.5.0 r-sf@1.0-23 r-rappdirs@0.3.3 r-progress@1.2.3 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-bcdata@0.5.2
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/bcgov/bcmaps
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: Map Layers and Spatial Utilities for British Columbia
Description:

Various layers of B.C., including administrative boundaries, natural resource management boundaries, census boundaries etc. All layers are available in BC Albers (<https://spatialreference.org/ref/epsg/3005/>) equal-area projection, which is the B.C. government standard. The layers are sourced from the British Columbia and Canadian government under open licenses, including B.C. Data Catalogue (<https://data.gov.bc.ca>), the Government of Canada Open Data Portal (<https://open.canada.ca/en/using-open-data>), and Statistics Canada (<https://www.statcan.gc.ca/en/reference/licence>).

r-breathteststan 0.8.9
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-dplyr@1.1.4 r-breathtestcore@0.8.10 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/dmenne/breathteststan
Licenses: GPL 3+
Build system: r
Synopsis: Stan-Based Fit to Gastric Emptying Curves
Description:

Stan-based curve-fitting function for use with package breathtestcore by the same author. Stan functions are refactored here for easier testing.

r-bayesianglasso 0.2.0
Propagated dependencies: r-statmod@1.5.1 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=BayesianGLasso
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Graphical Lasso
Description:

This package implements a data-augmented block Gibbs sampler for simulating the posterior distribution of concentration matrices for specifying the topology and parameterization of a Gaussian Graphical Model (GGM). This sampler was originally proposed in Wang (2012) <doi:10.1214/12-BA729>.

r-bayesppdsurv 1.0.3
Propagated dependencies: r-tidyr@1.3.1 r-rcppdist@0.1.1.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=BayesPPDSurv
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Power Prior Design for Survival Data
Description:

Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for proportional hazards models with piecewise constant hazard. The methodology and examples of applying the package are detailed in <doi:10.48550/arXiv.2404.05118>. 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 proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) <doi:10.1007/978-1-4757-3447-8>.

r-biosnr 1.0
Propagated dependencies: r-scales@1.4.0 r-pracma@2.4.6 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=bioSNR
Licenses: GPL 3+
Build system: r
Synopsis: Bioacoustic Basic Operations with Decibels and the Passive Sonar Equation
Description:

This package provides a beginners toolbox to help those in ecology who want to deepen their understanding or utilize Bioacoustics in their work. The package has a number of utilizations from calculating frequency from waveform, performing operations in dB, and determining acoustic range of recorders. The majority of this package is based on key concepts learned from the K. Lisa Yang Center for Conservation Bioacoustics at Cornell University and their associated course: Introduction to Bioacoustics course. More information can be found within the walk through vignettes at <https://github.com/MattyD797/bioSNR/tree/main/vignettes>.

r-bayesdiagnostics 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rstan@2.32.7 r-posterior@1.6.1 r-matrixstats@1.5.0 r-loo@2.8.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-checkmate@2.3.3 r-brms@2.23.0 r-bridgesampling@1.2-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ikrakib/bayesDiagnostics
Licenses: Expat
Build system: r
Synopsis: Comprehensive Bayesian Model Diagnostics and Comparison Tools
Description:

This package provides comprehensive tools for Bayesian model diagnostics and comparison. Includes prior sensitivity analysis, posterior predictive checks (Gelman et al. (2013) <doi:10.1201/b16018>), advanced model comparison using Pareto-smoothed importance sampling leave-one-out cross-validation (Vehtari et al. (2017) <doi:10.1007/s11222-016-9696-4>), convergence diagnostics, and prior elicitation tools. Integrates with brms (Burkner (2017) <doi:10.18637/jss.v080.i01>), rstan', and rstanarm packages for comprehensive Bayesian workflow diagnostics.

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-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-bwquant 0.1.0
Propagated dependencies: r-quantreg@6.1 r-nleqslv@3.3.5 r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BwQuant
Licenses: GPL 2
Build system: r
Synopsis: Bandwidth Selectors for Local Linear Quantile Regression
Description:

Bandwidth selectors for local linear quantile regression, including cross-validation and plug-in methods. The local linear quantile regression estimate is also implemented.

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-btergm 1.11.1
Propagated dependencies: r-statnet-common@4.12.0 r-sna@2.8 r-rocr@1.0-11 r-network@1.19.0 r-matrix@1.7-4 r-igraph@2.2.1 r-ergm@4.11.0 r-coda@0.19-4.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/leifeld/btergm
Licenses: GPL 2+
Build system: r
Synopsis: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Description:

Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs. The methods are described in Leifeld, Cranmer and Desmarais (2018), JStatSoft <doi:10.18637/jss.v083.i06>.

r-brdt 0.1.0
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/ericchen12377/BRDT
Licenses: GPL 3
Build system: r
Synopsis: Binomial Reliability Demonstration Tests
Description:

This is an implementation of design methods for binomial reliability demonstration tests (BRDTs) with failure count data. The acceptance decision uncertainty of BRDT has been quantified and the impacts of the uncertainty on related reliability assurance activities such as reliability growth (RG) and warranty services (WS) are evaluated. This package is associated with the work from the published paper "Optimal Binomial Reliability Demonstration Tests Design under Acceptance Decision Uncertainty" by Suiyao Chen et al. (2020) <doi:10.1080/08982112.2020.1757703>.

r-bcfrailph 0.1.2
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=bcfrailph
Licenses: GPL 2+
Build system: r
Synopsis: Semiparametric Bivariate Correlated Frailty Models Fit
Description:

Fit semiparametric bivariate correlated frailty models.

r-brlrmr 0.1.7
Propagated dependencies: r-rcpp@1.1.0 r-profilemodel@0.6.1 r-mass@7.3-65 r-brglm@0.7.3 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=brlrmr
Licenses: GPL 3
Build system: r
Synopsis: Bias Reduction with Missing Binary Response
Description:

This package provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.

r-bayessurv 3.8
Propagated dependencies: r-survival@3.8-3 r-smoothsurv@2.6 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://msekce.karlin.mff.cuni.cz/~komarek/
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Survival Regression with Flexible Error and Random Effects Distributions
Description:

This package contains Bayesian implementations of the Mixed-Effects Accelerated Failure Time (MEAFT) models for censored data. Those can be not only right-censored but also interval-censored, doubly-interval-censored or misclassified interval-censored. The methods implemented in the package have been published in Komárek and Lesaffre (2006, Stat. Modelling) <doi:10.1191/1471082X06st107oa>, Komárek, Lesaffre and Legrand (2007, Stat. in Medicine) <doi:10.1002/sim.3083>, Komárek and Lesaffre (2007, Stat. Sinica) <https://www3.stat.sinica.edu.tw/statistica/oldpdf/A17n27.pdf>, Komárek and Lesaffre (2008, JASA) <doi:10.1198/016214507000000563>, Garcà a-Zattera, Jara and Komárek (2016, Biometrics) <doi:10.1111/biom.12424>.

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