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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-covid19india 0.1.4
Propagated dependencies: r-stringr@1.6.0 r-scales@1.4.0 r-magrittr@2.0.4 r-janitor@2.2.1 r-httr@1.4.7 r-gt@1.3.0 r-glue@1.8.0 r-epiestim@2.2-5 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/maxsal/covid19india
Licenses: Expat
Build system: r
Synopsis: Pulling Clean Data from Covid19india.org
Description:

Pull raw and pre-cleaned versions of national and state-level COVID-19 time-series data from covid19india.org <https://www.covid19india.org>. Easily obtain and merge case count data, testing data, and vaccine data. Also assists in calculating the time-varying effective reproduction number with sensible parameters for COVID-19.

r-cusumcharter 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/johnmackintosh/cusumcharter
Licenses: GPL 3+
Build system: r
Synopsis: Easier CUSUM Control Charts
Description:

Create CUSUM (cumulative sum) statistics from a vector or dataframe. Also create single or faceted CUSUM control charts, with or without control limits. Accepts vector, dataframe, tibble or data.table inputs.

r-cmsafops 1.4.3
Propagated dependencies: r-trend@1.1.6 r-searchtrees@0.5.5 r-raster@3.6-32 r-rainfarmr@0.1 r-progress@1.2.3 r-ncdf4@1.24 r-fnn@1.1.4.1 r-fields@17.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.cmsaf.eu
Licenses: GPL 3+
Build system: r
Synopsis: Tools for CM SAF NetCDF Data
Description:

The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The cmsafops R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).

r-ctsfeatures 1.2.2
Propagated dependencies: r-tsibble@1.1.6 r-rdpack@2.6.4 r-latex2exp@0.9.6 r-ggplot2@4.0.1 r-bolstad2@1.0-29 r-astsa@2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ctsfeatures
Licenses: GPL 2
Build system: r
Synopsis: Analyzing Categorical Time Series
Description:

An implementation of several functions for feature extraction in categorical time series datasets. Specifically, some features related to marginal distributions and serial dependence patterns can be computed. These features can be used to feed clustering and classification algorithms for categorical time series, among others. The package also includes some interesting datasets containing biological sequences. Practitioners from a broad variety of fields could benefit from the general framework provided by ctsfeatures'.

r-countfitter 1.5
Propagated dependencies: r-shiny@1.11.1 r-pscl@1.5.9 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/BioGenies/countfitteR
Licenses: GPL 3
Build system: r
Synopsis: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description:

This package provides a large number of measurements generate count data. This is a statistical data type that only assumes non-negative integer values and is generated by counting. Typically, counting data can be found in biomedical applications, such as the analysis of DNA double-strand breaks. The number of DNA double-strand breaks can be counted in individual cells using various bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of the number data in order to determine their biomedical significance (Roediger, S. et al., 2018. Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers functions for a comprehensive automated evaluation of distribution models of count data. In addition to programmatic interaction, a graphical user interface (web server) is included, which enables fast and interactive data-scientific analyses. The user is supported in selecting the most suitable counting distribution for his own data set.

r-connections 0.2.1
Propagated dependencies: r-uuid@1.2-1 r-rscontract@0.1.2 r-pins@1.4.1 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/rstudio/connections
Licenses: Expat
Build system: r
Synopsis: Integrates with the 'RStudio' Connections Pane and 'pins'
Description:

Enables DBI compliant packages to integrate with the RStudio connections pane, and the pins package. It automates the display of schemata, tables, views, as well as the preview of the table's top 1000 records.

r-cancensus 0.5.10
Propagated dependencies: r-sf@1.0-23 r-rlang@1.1.6 r-readr@2.1.6 r-jsonlite@2.0.0 r-httr@1.4.7 r-geojsonsf@2.0.5 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mountainMath/cancensus
Licenses: Expat
Build system: r
Synopsis: Access, Retrieve, and Work with Canadian Census Data and Geography
Description:

Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the CensusMapper API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016; 2021).

r-cuda-ml 0.3.2
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-parsnip@1.3.3 r-hardhat@1.4.2 r-ellipsis@0.3.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mlverse.github.io/cuda.ml/
Licenses: Expat
Build system: r
Synopsis: R Interface for the RAPIDS cuML Suite of Libraries
Description:

R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).

r-cuperdec 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-readr@2.1.6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jfy133/cuperdec
Licenses: Expat
Build system: r
Synopsis: Cumulative Percent Decay Curve Generator
Description:

Calculates and visualises cumulative percent decay curves, which are typically calculated from metagenomic taxonomic profiles. These can be used to estimate the level of expected endogenous taxa at different abundance levels retrieved from metagenomic samples, when comparing to samples of known sampling site or source. Method described in Fellows Yates, J. A. et. al. (2021) Proceedings of the National Academy of Sciences USA <doi:10.1073/pnas.2021655118>.

r-comparison 1.0.8
Propagated dependencies: r-isotone@1.1-2 r-cvglasso@1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jmcurran/comparison
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Likelihood Ratio Calculation and Evaluation
Description:

This package provides functions for calculating and evaluating likelihood ratios from uni/multivariate continuous observations.

r-convevol 2.2.1
Propagated dependencies: r-phytools@2.5-2 r-magick@2.9.0 r-geiger@2.0.11 r-cluster@2.1.8.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=convevol
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Convergent Evolution
Description:

Quantifies and assesses the significance of convergent evolution using multiple methods and measures as described in Stayton (2015) <DOI: 10.1111/evo.12729> and Grossnickle et al. 2023. Also displays results in various ways.

r-compositionalml 1.0
Propagated dependencies: r-rfast2@0.1.5.5 r-rfast@2.1.5.2 r-ranger@0.17.0 r-foreach@1.5.2 r-e1071@1.7-16 r-doparallel@1.0.17 r-compositional@8.0 r-boruta@9.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CompositionalML
Licenses: GPL 2+
Build system: r
Synopsis: Machine Learning with Compositional Data
Description:

Machine learning algorithms for predictor variables that are compositional data and the response variable is either continuous or categorical. Specifically, the Boruta variable selection algorithm, random forest, support vector machines and projection pursuit regression are included. Relevant papers include: Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451> and Alenazi, A. (2023). "A review of compositional data analysis and recent advances". Communications in Statistics--Theory and Methods, 52(16): 5535--5567. <doi:10.1080/03610926.2021.2014890>.

r-completejourney 1.1.1
Propagated dependencies: r-zeallot@0.2.0 r-tibble@3.3.0 r-stringr@1.6.0 r-progress@1.2.3 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/bradleyboehmke/completejourney
Licenses: CC0
Build system: r
Synopsis: Retail Shopping Data
Description:

Retail shopping transactions for 2,469 households over one year. Originates from the 84.51° Complete Journey 2.0 source files <https://www.8451.com/area51> which also includes useful metadata on products, coupons, campaigns, and promotions.

r-cpp11eigen 0.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pacha.dev/cpp11eigen/
Licenses: FSDG-compatible
Build system: r
Synopsis: An 'Eigen' Interface
Description:

This package provides function declarations and inline function definitions that facilitate communication between R and the Eigen C++ library for linear algebra and scientific computing.

r-cmfsurrogate 1.1
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CMFsurrogate
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Calibrated Model Fusion Approach to Combine Surrogate Markers
Description:

Uses a calibrated model fusion approach to optimally combine multiple surrogate markers. Specifically, two initial estimates of optimal composite scores of the markers are obtained; the optimal calibrated combination of the two estimated scores is then constructed which ensures both validity of the final combined score and optimality with respect to the proportion of treatment effect explained (PTE) by the final combined score. The primary function, pte.estimate.multiple(), estimates the PTE of the identified combination of multiple surrogate markers. Details are described in Wang et al (2022) <doi:10.1111/biom.13677>. A tutorial for the package is available at <https://www.laylaparast.com/cmfsurrogate> and a Shiny App is available at <https://parastlab.shinyapps.io/CMFsurrogateApp/>.

r-combins 1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mlaib.net
Licenses: GPL 3
Build system: r
Synopsis: Construction Methods for Series of PBIB Designs via Combinatory Method S
Description:

This package provides constructions of series of partially balanced incomplete block designs (PBIB) based on the combinatory method S, introduced by Rezgui et al. (2014) <doi:10.3844/jmssp.2014.45.48>. This package also offers the associated U-type designs. Version 1.1-1 generalizes the approach to designs with v = wnl treatments. It includes various rectangular and generalized rectangular right angular association schemes with 4, 5, and 7 associated classes.

r-cronologia 0.2.0
Propagated dependencies: r-htmltools@0.5.8.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/feddelegrand7/cronologia
Licenses: AGPL 3+
Build system: r
Synopsis: Create an HTML Vertical Timeline from a Data Frame in 'rmarkdown' and 'shiny'
Description:

This package creates an HTML vertical timeline from a data frame as an input for rmarkdown documents and shiny applications.

r-chncapitalstock 0.1.1
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/common2016/CapitalStock
Licenses: GPL 2
Build system: r
Synopsis: Compute Chinese Capital Stocks
Description:

Compute Chinese capital stocks in provinces level, based on Zhang (2008) <DOI:10.1080/14765280802028302>.

r-chess2plyrs 0.3.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chess2plyrs
Licenses: GPL 3
Build system: r
Synopsis: Chess Game Creation and Tools
Description:

This package provides a chess program which allows the user to create a game, add moves, check for legal moves and game result, plot the board, take back, read and write FEN (Forsythâ Edwards Notation). A basic chess engine based on minimax is implemented.

r-contribution 0.2.2
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-magrittr@2.0.4 r-gh@1.5.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/openbiox/contribution
Licenses: Expat
Build system: r
Synopsis: Tiny Contribution Table Generator Based on 'ggplot2'
Description:

Contribution table for credit assignment based on ggplot2'. This can improve the author contribution information in academic journals and personal CV.

r-cir 2.5.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cir
Licenses: GPL 2
Build system: r
Synopsis: Centered Isotonic Regression and Dose-Response Utilities
Description:

Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.

r-calcunique 0.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/stephenbfroehlich/calcUnique
Licenses: Expat
Build system: r
Synopsis: Simple Wrapper for Computationally Expensive Functions
Description:

This is a one-function package that will pass only unique values to a computationally-expensive function that returns an output of the same length as the input. In importing and working with tidy data, it is common to have index columns, often including time stamps that are far from unique. Some functions to work with these such as text conversion to other variable types (e.g. as.POSIXct()), various grep()-based functions, and often the cut() function are relatively slow when working with tens of millions of rows or more.

r-cordillera 1.0-3
Propagated dependencies: r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://r-forge.r-project.org/projects/stops/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Calculation of the OPTICS Cordillera
Description:

This package provides functions for calculating the OPTICS Cordillera. The OPTICS Cordillera measures the amount of clusteredness in a numeric data matrix within a distance-density based framework for a given minimum number of points comprising a cluster, as described in Rusch, Hornik, Mair (2018) <doi:10.1080/10618600.2017.1349664>. We provide an R native version with methods for printing, summarizing, and plotting the result.

r-colourlovers 0.3.6
Propagated dependencies: r-xml@3.99-0.20 r-png@0.1-8 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/andrewheiss/colourlovers
Licenses: GPL 2
Build system: r
Synopsis: R Client for the COLOURlovers API
Description:

This package provides access to the COLOURlovers <https://www.colourlovers.com/> API, which offers color inspiration and color palettes.

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Total results: 68658