_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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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-dockerfiler 0.2.5
Propagated dependencies: r-usethis@3.2.1 r-remotes@2.5.0 r-r6@2.6.1 r-purrr@1.2.0 r-pkgbuild@1.4.8 r-pak@0.9.2 r-memoise@2.0.1 r-jsonlite@2.0.0 r-glue@1.8.0 r-fs@1.6.6 r-desc@1.4.3 r-cli@3.6.5 r-attempt@0.3.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://thinkr-open.github.io/dockerfiler/
Licenses: Expat
Build system: r
Synopsis: Easy Dockerfile Creation from R
Description:

Build a Dockerfile straight from your R session. dockerfiler allows you to create step by step a Dockerfile, and provide convenient tools to wrap R code inside this Dockerfile.

r-dmrnet 0.4.1
Propagated dependencies: r-hclust1d@0.1.1 r-grpreg@3.5.0 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/SzymonNowakowski/DMRnet
Licenses: GPL 2
Build system: r
Synopsis: Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data
Description:

Model selection algorithms for regression and classification, where the predictors can be continuous or categorical and the number of regressors may exceed the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Szymon Nowakowski, Piotr Pokarowski, Wojciech Rejchel and Agnieszka SoÅ tys, 2023. Improving Group Lasso for High-Dimensional Categorical Data. In: Computational Science â ICCS 2023. Lecture Notes in Computer Science, vol 14074, p. 455-470. Springer, Cham. <doi:10.1007/978-3-031-36021-3_47>. Aleksandra Maj-KaÅ ska, Piotr Pokarowski and Agnieszka Prochenka, 2015. Delete or merge regressors for linear model selection. Electronic Journal of Statistics 9(2): 1749-1778. <doi:10.1214/15-EJS1050>. Piotr Pokarowski and Jan Mielniczuk, 2015. Combined l1 and greedy l0 penalized least squares for linear model selection. Journal of Machine Learning Research 16(29): 961-992. <https://www.jmlr.org/papers/volume16/pokarowski15a/pokarowski15a.pdf>. Piotr Pokarowski, Wojciech Rejchel, Agnieszka SoÅ tys, MichaÅ Frej and Jan Mielniczuk, 2022. Improving Lasso for model selection and prediction. Scandinavian Journal of Statistics, 49(2): 831â 863. <doi:10.1111/sjos.12546>.

r-diffpriv 0.4.2
Propagated dependencies: r-gsl@2.1-9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/brubinstein/diffpriv
Licenses: Expat
Build system: r
Synopsis: Easy Differential Privacy
Description:

An implementation of major general-purpose mechanisms for privatizing statistics, models, and machine learners, within the framework of differential privacy of Dwork et al. (2006) <doi:10.1007/11681878_14>. Example mechanisms include the Laplace mechanism for releasing numeric aggregates, and the exponential mechanism for releasing set elements. A sensitivity sampler (Rubinstein & Alda, 2017) <arXiv:1706.02562> permits sampling target non-private function sensitivity; combined with the generic mechanisms, it permits turn-key privatization of arbitrary programs.

r-dineq 0.1.0
Propagated dependencies: r-hmisc@5.2-4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dineq
Licenses: GPL 3
Build system: r
Synopsis: Decomposition of (Income) Inequality
Description:

Decomposition of (income) inequality by population sub groups. For a decomposition on a single variable the mean log deviation can be used (see Mookherjee Shorrocks (1982) <DOI:10.2307/2232673>). For a decomposition on multiple variables a regression based technique can be used (see Fields (2003) <DOI:10.1016/s0147-9121(03)22001-x>). Recentered influence function regression for marginal effects of the (income or wealth) distribution (see Firpo et al. (2009) <DOI:10.3982/ECTA6822>). Some extensions to inequality functions to handle weights and/or missings.

r-dawar 0.3.2
Propagated dependencies: r-tidyrss@2.0.7 r-sf@1.0-23 r-rlang@1.1.6 r-memoise@2.0.1 r-httr2@1.2.1 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dawar.aleksanderbl.dk/
Licenses: GPL 3+
Build system: r
Synopsis: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Description:

This package provides functions for interacting with all sections of the official Danish Address Web API (also known as DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.

r-datacutr 0.2.4
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-reactable@0.4.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4 r-assertthat@0.2.1 r-admiraldev@1.4.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://pharmaverse.github.io/datacutr/
Licenses: FSDG-compatible
Build system: r
Synopsis: SDTM Datacut
Description:

Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.

r-deltaman 0.5.0
Propagated dependencies: r-xtable@1.8-4 r-shinymatrix@0.8.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DeltaMAN
Licenses: LGPL 3
Build system: r
Synopsis: Delta Measurement of Agreement for Nominal Data
Description:

Analysis of agreement for nominal data between two raters using the Delta model. This model is proposed as an alternative to the widespread measure Cohen kappa coefficient, which performs poorly when the marginal distributions are very asymmetric (Martin-Andres and Femia-Marzo (2004), <doi:10.1348/000711004849268>; Martin-Andres and Femia-Marzo (2008) <doi:10.1080/03610920701669884>). The package also contains a function to perform a massive analysis of multiple raters against a gold standard. A shiny app is also provided to obtain the measures of nominal agreement between two raters.

r-designer 0.3.0
Propagated dependencies: r-shinyscreenshot@0.2.1 r-shiny@1.11.1 r-shinipsum@0.1.1 r-rappdirs@0.3.3 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-golem@0.5.1 r-fontawesome@0.5.3 r-config@0.3.2 r-cicerone@1.0.4 r-bslib@0.9.0 r-bs4dash@2.3.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://ashbaldry.github.io/designer/
Licenses: Expat
Build system: r
Synopsis: 'Shiny' UI Prototype Builder
Description:

This package provides a shiny application that enables the user to create a prototype UI, being able to drag and drop UI components before being able to save or download the equivalent R code.

r-distanceto 0.0.3
Propagated dependencies: r-sf@1.0-23 r-nabor@0.5.0 r-geodist@0.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/robitalec/distance-to
Licenses: GPL 3+
Build system: r
Synopsis: Calculate Distance to Features
Description:

Calculates distances from point locations to features. The usual approach for eg. resource selection function analyses is to generate a complete distance to features surface then sample it with your observed and random points. Since these raster based approaches can be pretty costly with large areas, and often lead to memory issues in R, the distanceto package opts to compute these distances using efficient, vector based approaches. As a helper, there's a decidedly low-res raster based approach for visually inspecting your region's distance surface. But the workhorse is distance_to.

r-docknitr 1.0.1
Dependencies: docker@20.10.27
Propagated dependencies: r-sys@3.4.3 r-rstudioapi@0.17.1 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=docknitr
Licenses: Expat
Build system: r
Synopsis: Use Docker Images to Process Rmarkdown Blocks
Description:

Gives you the ability to use arbitrary Docker images (including custom ones) to process Rmarkdown code chunks.

r-drugsim2dr 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-reshape2@1.4.5 r-pheatmap@1.0.13 r-igraph@2.2.1 r-fastmatch@1.1-6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DrugSim2DR
Licenses: GPL 2+
Build system: r
Synopsis: Predict Drug Functional Similarity to Drug Repurposing
Description:

This package provides a systematic biology tool was developed to repurpose drugs via a drug-drug functional similarity network. DrugSim2DR first predict drug-drug functional similarity in the context of specific disease, and then using the similarity constructed a weighted drug similarity network. Finally, it used a network propagation algorithm on the network to identify drugs with significant target abnormalities as candidate drugs.

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-dtbm 3.0
Propagated dependencies: r-weightedcluster@2.0 r-envstats@3.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dTBM
Licenses: GPL 2+
Build system: r
Synopsis: Multi-Way Spherical Clustering via Degree-Corrected Tensor Block Models
Description:

Implement weighted higher-order initialization and angle-based iteration for multi-way spherical clustering under degree-corrected tensor block model. See reference Jiaxin Hu and Miaoyan Wang (2023) <doi:10.1109/TIT.2023.3239521>.

r-dittodb 0.1.10
Propagated dependencies: r-rlang@1.1.6 r-lifecycle@1.0.4 r-glue@1.8.0 r-digest@0.6.39 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dittodb.jonkeane.com/
Licenses: ASL 2.0
Build system: r
Synopsis: Test Environment for Database Requests
Description:

Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.

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-doubt 0.1.0
Propagated dependencies: r-unglue@0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doubt
Licenses: GPL 3
Build system: r
Synopsis: Enable Operators Containing the '?' Symbol
Description:

Overload utils::'? to build unary and binary operators from existing functions, piping operators of different precedence, and flexible syntaxes.

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-dos2 0.5.2
Propagated dependencies: r-senstrat@1.0.3 r-sensitivitymv@1.4.4 r-sensitivitymult@1.0.2 r-sensitivity2x2xk@1.01 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=DOS2
Licenses: GPL 2
Build system: r
Synopsis: Design of Observational Studies, Companion to the Second Edition
Description:

This package contains data sets, examples and software from the Second Edition of "Design of Observational Studies"; see Rosenbaum, P.R. (2010) <doi:10.1007/978-1-4419-1213-8>.

r-deplotting 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-scales@1.4.0 r-rlang@1.1.6 r-patchwork@1.3.2 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://codeberg.org/BBEdata/DEplotting
Licenses: Expat
Build system: r
Synopsis: Visualization Tools for German Regional Data
Description:

This package provides functions to download, process, and visualize German geospatial data across administrative levels, including states, districts, and municipalities. Supports interactive tables and customized maps using built-in or external datasets. Official shapefiles are accessed from the German Federal Agency for Cartography and Geodesy (BKG) <https://gdz.bkg.bund.de/>, licensed under dl-de/by-2-0 <https://www.govdata.de/dl-de/by-2-0>.

r-distrsim 2.8.5
Propagated dependencies: r-startupmsg@1.0.0 r-setrng@2024.2-1 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://distr.r-forge.r-project.org/
Licenses: LGPL 3
Build system: r
Synopsis: Simulation Classes Based on Package 'distr'
Description:

S4-classes for setting up a coherent framework for simulation within the distr family of packages.

r-doudpackage 2.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-purrr@1.2.0 r-kableextra@1.4.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doudpackage
Licenses: GPL 3+
Build system: r
Synopsis: Create Elegant Table 1 in HTML for Bio-Statistics
Description:

This package creates the "table one" of bio-medical papers. Fill it with your data and the name of the variable which you'll make the group(s) out of and it will make univariate, bivariate analysis and parse it into HTML. It also allows you to visualize all your data with graphic representation.

r-diffdf 1.1.2
Propagated dependencies: r-tibble@3.3.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://gowerc.github.io/diffdf/
Licenses: Expat
Build system: r
Synopsis: Dataframe Difference Tool
Description:

This package provides functions for comparing two data.frames against each other. The core functionality is to provide a detailed breakdown of any differences between two data.frames as well as providing utility functions to help narrow down the source of problems and differences.

r-distcomp 1.3-4
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-shiny@1.11.1 r-rlang@1.1.6 r-r6@2.6.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-homomorpher@0.3 r-gmp@0.7-5 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://dx.doi.org/10.18637/jss.v077.i13
Licenses: LGPL 2.0+
Build system: r
Synopsis: Computations over Distributed Data without Aggregation
Description:

Implementing algorithms and fitting models when sites (possibly remote) share computation summaries rather than actual data over HTTP with a master R process (using opencpu', for example). A stratified Cox model and a singular value decomposition are provided. The former makes direct use of code from the R survival package. (That is, the underlying Cox model code is derived from that in the R survival package.) Sites may provide data via several means: CSV files, Redcap API, etc. An extensible design allows for new methods to be added in the future and includes facilities for local prototyping and testing. Web applications are provided (via shiny') for the implemented methods to help in designing and deploying the computations.

r-ddl 1.0.2
Propagated dependencies: r-matrix@1.7-4 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DDL
Licenses: Expat
Build system: r
Synopsis: Doubly Debiased Lasso (DDL)
Description:

Statistical inference for the regression coefficients in high-dimensional linear models with hidden confounders. The Doubly Debiased Lasso method was proposed in <arXiv:2004.03758>.

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