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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-descriptiverepresentationcalculator 1.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/cjerzak/DescriptiveRepresentationCalculator-software/
Licenses: GPL 3
Build system: r
Synopsis: Characterizing Observed and Expected Representation
Description:

This package provides a system for analyzing descriptive representation, especially for comparing the composition of a political body to the population it represents. Users can compute the expected degree of representation for a body under a random sampling model, the expected degree of representation variability, as well as representation scores from observed political bodies. The package is based on Gerring, Jerzak, and Oncel (2024) <doi:10.1017/S0003055423000680>.

r-dmtools 0.2.6
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-readxl@1.4.5 r-purrr@1.2.0 r-progress@1.2.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/KonstantinRyabov/dmtools
Licenses: Expat
Build system: r
Synopsis: Tools for Clinical Data Management
Description:

For checking the dataset from EDC(Electronic Data Capture) in clinical trials. dmtools reshape your dataset in a tidy view and check events. You can reshape the dataset and choose your target to check, for example, the laboratory reference range.

r-delayed 0.5.0
Propagated dependencies: r-visnetwork@2.1.4 r-uuid@1.2-1 r-rstackdeque@1.1.1 r-rlang@1.1.6 r-r6@2.6.1 r-r-utils@2.13.0 r-r-oo@1.27.1 r-progress@1.2.3 r-igraph@2.2.1 r-future@1.68.0 r-data-table@1.17.8 r-bbmisc@1.13
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://tlverse.org/delayed/
Licenses: GPL 3
Build system: r
Synopsis: Framework for Parallelizing Dependent Tasks
Description:

Mechanisms to parallelize dependent tasks in a manner that optimizes the compute resources available. It provides access to "delayed" computations, which may be parallelized using futures. It is, to an extent, a facsimile of the Dask library (<https://www.dask.org/>), for the Python language.

r-dmm 3.2-2
Propagated dependencies: r-robustbase@0.99-6 r-pls@2.8-5 r-nadiv@2.18.0 r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dmm
Licenses: GPL 2 GPL 2+ GPL 3
Build system: r
Synopsis: Dyadic Mixed Model for Pedigree Data
Description:

Mixed model analysis for quantitative genetics with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects. Method documented in dmmOverview.pdf; dmm is an implementation of dispersion mean model described by Searle et al. (1992) "Variance Components", Wiley, NY. Dmm() can do MINQUE', bias-corrected-ML', and REML variance and covariance component estimates.

r-distatisr 1.1.2
Propagated dependencies: r-tidytext@0.4.3 r-readxl@1.4.5 r-prettygraphs@2.2.0 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DistatisR
Licenses: GPL 2
Build system: r
Synopsis: DiSTATIS Three Way Metric Multidimensional Scaling
Description:

Implement DiSTATIS and CovSTATIS (three-way multidimensional scaling). DiSTATIS and CovSTATIS are used to analyze multiple distance/covariance matrices collected on the same set of observations. These methods are based on Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012) <doi:10.1002/wics.198>.

r-disprity 1.9
Propagated dependencies: r-zoo@1.8-14 r-vegan@2.7-2 r-scales@1.4.0 r-phylolm@2.6.5 r-phyclust@0.1-34 r-phangorn@2.12.1 r-mnormt@2.1.1 r-mass@7.3-65 r-get@1.0-7 r-geometry@0.5.2 r-ellipse@0.5.0 r-claddis@0.7.0 r-castor@1.8.4 r-ape@5.8-1 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/TGuillerme/dispRity
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Measuring Disparity
Description:

This package provides a modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.

r-dampack 1.0.2.1000
Propagated dependencies: r-truncnorm@1.0-9 r-triangle@1.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-mgcv@1.9-4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ellipse@0.5.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/DARTH-git/dampack
Licenses: GPL 3
Build system: r
Synopsis: Decision-Analytic Modeling Package
Description:

This package provides a suite of functions for analyzing and visualizing the health economic outputs of mathematical models. This package was developed with funding from the National Institutes of Allergy and Infectious Diseases of the National Institutes of Health under award no. R01AI138783. The content of this package is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The theoretical underpinnings of dampack''s functionality are detailed in Hunink et al. (2014) <doi:10.1017/CBO9781139506779>.

r-detectruns 0.9.6
Propagated dependencies: r-reshape2@1.4.5 r-rcpp@1.1.0 r-plyr@1.8.9 r-itertools@0.1-3 r-iterators@1.0.14 r-gridextra@2.3 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/bioinformatics-ptp/detectRUNS/tree/master/detectRUNS
Licenses: GPL 3
Build system: r
Synopsis: Detect Runs of Homozygosity and Runs of Heterozygosity in Diploid Genomes
Description:

Detection of runs of homozygosity and of heterozygosity in diploid genomes using two methods: sliding windows (Purcell et al (2007) <doi:10.1086/519795>) and consecutive runs (Marras et al (2015) <doi:10.1111/age.12259>).

r-dadjokeapi 1.0.2
Propagated dependencies: r-png@0.1-8 r-httr@1.4.7 r-dplyr@1.1.4 r-curl@7.0.0 r-beepr@2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jhollist/dadjokeapi/
Licenses: Expat
Build system: r
Synopsis: Return a Random Dad Joke
Description:

What is funnier than a dad joke? A dad joke in R! This package utilizes the API for <https://icanhazdadjoke.com> and returns dad jokes from several API endpoints.

r-decorater 0.1.2
Propagated dependencies: r-rwekajars@3.9.3-2 r-rweka@0.4-46 r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DecorateR
Licenses: GPL 2+
Build system: r
Synopsis: Fit and Deploy DECORATE Trees
Description:

DECORATE (Diverse Ensemble Creation by Oppositional Relabeling of Artificial Training Examples) builds an ensemble of J48 trees by recursively adding artificial samples of the training data ("Melville, P., & Mooney, R. J. (2005) <DOI:10.1016/j.inffus.2004.04.001>").

r-donutsk 0.1.1
Propagated dependencies: r-rlang@1.1.6 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dkibalnikov/donutsk
Licenses: Expat
Build system: r
Synopsis: Construct Advanced Donut Charts
Description:

Build donut/pie charts with ggplot2 layer by layer, exploiting the advantages of polar symmetry. Leverage layouts to distribute labels effectively. Connect labels to donut segments using pins. Streamline annotation and highlighting.

r-datastat 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=datastat
Licenses: CC0
Build system: r
Synopsis: Dataset for Statistical Analysis
Description:

Data are essential in statistical analysis. This data package consists of four datasets for descriptive statistics, two datasets for statistical hypothesis testing, and two datasets for regression analysis. All of the datasets are based on Rattanalertnusorn, A. (2024) <https://www.researchgate.net/publication/371944275_porkaermxarlaeakarprayuktchingan_R_and_its_applications>.

r-diffdfs 0.9.0
Propagated dependencies: r-rlang@1.1.6 r-janitor@2.2.1 r-dplyr@1.1.4 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diffdfs
Licenses: Expat
Build system: r
Synopsis: Compute the Difference Between Data Frames
Description:

Shows you which rows have changed between two data frames with the same column structure. Useful for diffing slowly mutating data.

r-dpcc 1.0.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dpcc
Licenses: Expat
Build system: r
Synopsis: Dynamic Programming for Convex Clustering
Description:

Use dynamic programming method to solve l1 convex clustering with identical weights.

r-doctest 0.3.0
Propagated dependencies: r-testthat@3.3.0 r-roxygen2@7.3.3 r-rlang@1.1.6 r-purrr@1.2.0 r-pkgload@1.4.1 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://hughjonesd.github.io/doctest/
Licenses: Expat
Build system: r
Synopsis: Generate Tests from Examples Using 'roxygen' and 'testthat'
Description:

This package creates testthat tests from roxygen examples using simple tags.

r-dfba 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DFBA
Licenses: GPL 2
Build system: r
Synopsis: Distribution-Free Bayesian Analysis
Description:

This package provides a set of functions to perform distribution-free Bayesian analyses. Included are Bayesian analogues to the frequentist Mann-Whitney U test, the Wilcoxon Signed-Ranks test, Kendall's Tau Rank Correlation Coefficient, Goodman and Kruskal's Gamma, McNemar's Test, the binomial test, the sign test, the median test, as well as distribution-free methods for testing contrasts among condition and for computing Bayes factors for hypotheses. The package also includes procedures to estimate the power of distribution-free Bayesian tests based on data simulations using various probability models for the data. The set of functions provide data analysts with a set of Bayesian procedures that avoids requiring parametric assumptions about measurement error and is robust to problem of extreme outlier scores.

r-dmtl 0.1.2
Propagated dependencies: r-randomforest@4.7-1.2 r-ks@1.15.1 r-kernlab@0.9-33 r-glmnet@4.1-10 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dhruba018/DMTL
Licenses: GPL 3
Build system: r
Synopsis: Tools for Applying Distribution Mapping Based Transfer Learning
Description:

Implementation of a transfer learning framework employing distribution mapping based domain transfer. Uses the renowned concept of histogram matching (see Gonzalez and Fittes (1977) <doi:10.1016/0094-114X(77)90062-3>, Gonzalez and Woods (2008) <isbn:9780131687288>) and extends it to include distribution measures like kernel density estimates (KDE; see Wand and Jones (1995) <isbn:978-0-412-55270-0>, Jones et al. (1996) <doi:10.2307/2291420). In the typical application scenario, one can use the underlying sample distributions (histogram or KDE) to generate a map between two distinct but related domains to transfer the target data to the source domain and utilize the available source data for better predictive modeling design. Suitable for the case where a one-to-one sample matching is not possible, thus one needs to transform the underlying data distribution to utilize the more available data for modeling.

r-disaggregation 0.4.1
Propagated dependencies: r-tmb@1.9.18 r-tidyterra@1.0.0 r-terra@1.8-86 r-splancs@2.01-45 r-sparsemvn@0.2.2 r-sf@1.0-23 r-rspde@2.5.2 r-rcppeigen@0.3.4.0.2 r-matrix@1.7-4 r-ggplot2@4.0.1 r-fmesher@0.5.0 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=disaggregation
Licenses: Expat
Build system: r
Synopsis: Disaggregation Modelling
Description:

Fits disaggregation regression models using TMB ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. The package is described in detail in Nandi et al. (2023) <doi:10.18637/jss.v106.i11>.

r-distantia 2.0.2
Propagated dependencies: r-zoo@1.8-14 r-rcpp@1.1.0 r-progressr@0.18.0 r-lubridate@1.9.4 r-future-apply@1.20.0 r-foreach@1.5.2 r-dofuture@1.1.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://blasbenito.github.io/distantia/
Licenses: Expat
Build system: r
Synopsis: Advanced Toolset for Efficient Time Series Dissimilarity Analysis
Description:

Fast C++ implementation of Dynamic Time Warping for time series dissimilarity analysis, with applications in environmental monitoring and sensor data analysis, climate science, signal processing and pattern recognition, and financial data analysis. Built upon the ideas presented in Benito and Birks (2020) <doi:10.1111/ecog.04895>, provides tools for analyzing time series of varying lengths and structures, including irregular multivariate time series. Key features include individual variable contribution analysis, restricted permutation tests for statistical significance, and imputation of missing data via GAMs. Additionally, the package provides an ample set of tools to prepare and manage time series data.

r-dfer 1.0.1
Propagated dependencies: r-withr@3.0.2 r-usethis@3.2.1 r-tidyselect@1.2.1 r-rlang@1.1.6 r-renv@1.1.5 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-emoji@16.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dfe-analytical-services.github.io/dfeR/
Licenses: GPL 3+
Build system: r
Synopsis: Common Department for Education Analysis Tasks
Description:

Preferred methods for common analytical tasks that are undertaken across the Department, including number formatting, project templates and curated reference data.

r-darkdiv 0.3.0
Propagated dependencies: r-vegan@2.7-2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DarkDiv
Licenses: GPL 3
Build system: r
Synopsis: Estimating Dark Diversity and Site-Specific Species Pools
Description:

Estimation of dark diversity and site-specific species pools using species co-occurrences. It includes implementations of probabilistic dark diversity based on the Hypergeometric distribution, as well as estimations based on the Beals index, which can be transformed to binary predictions using different thresholds, or transformed into a favorability index. All methods include the possibility of using a calibration dataset that is used to estimate the indication matrix between pairs of species, or to estimate dark diversity directly on a single dataset. See De Caceres and Legendre (2008) <doi:10.1007/s00442-008-1017-y>, Lewis et al. (2016) <doi:10.1111/2041-210X.12443>, Partel et al. (2011) <doi:10.1016/j.tree.2010.12.004>, Real et al. (2017) <doi:10.1093/sysbio/syw072> for further information.

r-diezeit 0.1-0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-brew@1.0-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diezeit
Licenses: Expat
Build system: r
Synopsis: R Interface to the ZEIT ONLINE Content API
Description:

This package provides a wrapper for the ZEIT ONLINE Content API, available at <http://developer.zeit.de>. diezeit gives access to articles and corresponding metadata from the ZEIT archive and from ZEIT ONLINE. A personal API key is required for usage.

r-despair 0.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jpmonteagudo28/despair
Licenses: GPL 3+
Build system: r
Synopsis: Motivational Quotes and Shakespearean Bard–bits for Personal Projects
Description:

Generate motivational quotes and Shakespearean word combinations (bardâ bits) that a user can consider for their personal projects. Each of the package functions takes two arguments, cat which default to any, and a a numeric or character seed to ensure reproducible results.

r-dfoliatr 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-glue@1.8.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-dplr@1.7.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://chguiterman.github.io/dfoliatR/
Licenses: GPL 3+
Build system: r
Synopsis: Detection and Analysis of Insect Defoliation Signals in Tree Rings
Description:

This package provides tools to identify, quantify, analyze, and visualize growth suppression events in tree rings that are often produced by insect defoliation. Described in Guiterman et al. (2020) <doi:10.1016/j.dendro.2020.125750>.

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