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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-drhur 1.1.0
Propagated dependencies: r-learnr@0.11.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=drhur
Licenses: Expat
Build system: r
Synopsis: Learning R with Dr. Hu
Description:

Tutarials of R learning easily and happily.

r-dfcompare 1.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/swaldroff/DFCompare
Licenses: GPL 3
Build system: r
Synopsis: Compare Two Dataframes and Return Adds, Changes, and Deletes
Description:

Compares two dataframes with a common key and returns the delta records. The package will return three dataframes that contain the added, changed, and deleted records.

r-dma 1.4-2
Propagated dependencies: 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=dma
Licenses: GPL 2
Build system: r
Synopsis: Dynamic Model Averaging
Description:

Dynamic model averaging for binary and continuous outcomes.

r-dscore 2.0.0
Propagated dependencies: r-tidyr@1.3.1 r-stringi@1.8.7 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/d-score/dscore
Licenses: FSDG-compatible
Build system: r
Synopsis: D-Score for Child Development
Description:

The D-score summarizes a child's performance on developmental milestones into a single number. Its key feature is its generic nature. The method does not depend on a specific measurement instrument. The statistical method underlying the D-score is described in van Buuren et al. (2025) <doi:10.1177/01650254241294033>. This package implements model keys to convert milestone scores to D-scores; maps instrument-specific item names to a generic 9-position naming convention; computes D-scores and their precision from a child's milestone scores; and converts D-scores to Development-for-Age Z-scores (DAZ) using age-conditional reference standards.

r-dendrosync 0.1.5
Propagated dependencies: r-nlme@3.1-168 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://bitbucket.org/josucham/dendrosync/src/issues/
Licenses: GPL 2
Build system: r
Synopsis: Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies
Description:

This package provides functions for the calculation and plotting of synchrony in tree growth from tree-ring width chronologies (TRW index). It combines variance-covariance (VCOV) mixed modelling with functions that quantify the degree to which the TRW chronologies contain a common temporal signal. It also implements temporal trends in spatial synchrony using a moving window. These methods can also be used with other kind of ecological variables that have temporal autocorrelation corrected.

r-decomposer 1.0.7
Propagated dependencies: r-usethis@3.2.1 r-tictoc@1.2.1 r-stratigrapher@1.3.1 r-hexbin@1.28.5 r-dplyr@1.1.4 r-colorramps@2.3.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DecomposeR
Licenses: GPL 3
Build system: r
Synopsis: Empirical Mode Decomposition for Cyclostratigraphy
Description:

This package provides tools to apply Ensemble Empirical Mode Decomposition (EEMD) for cyclostratigraphy purposes. Mainly: a new algorithm, extricate, that performs EEMD in seconds, a linear interpolation algorithm using the greatest rational common divisor of depth or time, different algorithms to compute instantaneous amplitude, frequency and ratios of frequencies, and functions to verify and visualise the outputs. The functions were developed during the CRASH project (Checking the Reproducibility of Astrochronology in the Hauterivian). When using for publication please cite Wouters, S., Crucifix, M., Sinnesael, M., Da Silva, A.C., Zeeden, C., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2022, "A decomposition approach to cyclostratigraphic signal processing". Earth-Science Reviews 225 (103894). <doi:10.1016/j.earscirev.2021.103894>.

r-drone 1.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=drone
Licenses: GPL 2+
Build system: r
Synopsis: Data for Data Visualisation Geometries Encyclopedia
Description:

This is the companion package to the Data Visualization Geometries Encyclopedia, providing seamless access to the associated data.

r-dlmtree 1.1.1
Propagated dependencies: r-tidyr@1.3.1 r-shinythemes@1.2.0 r-shiny@1.11.1 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mgcv@1.9-4 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/danielmork/dlmtree
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Treed Distributed Lag Models
Description:

Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework. Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) <doi:10.1111/biom.13568>; treed distributed lag nonlinear models (Mork and Wilson, 2022) <doi:10.1093/biostatistics/kxaa051>; heterogeneous DLMs (Mork, et. al., 2024) <doi:10.1080/01621459.2023.2258595>; monotone DLMs (Mork and Wilson, 2024) <doi:10.1214/23-BA1412>. The package also includes visualization tools and a shiny interface to check model convergence and to help interpret results.

r-damocles 2.3
Propagated dependencies: r-picante@1.8.2 r-matrixstats@1.5.0 r-matrix@1.7-4 r-hmisc@5.2-4 r-expm@1.0-0 r-desolve@1.40 r-ddd@5.2.4 r-caper@1.0.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DAMOCLES
Licenses: GPL 2
Build system: r
Synopsis: Dynamic Assembly Model of Colonization, Local Extinction and Speciation
Description:

Simulates and computes (maximum) likelihood of a dynamical model of community assembly that takes into account phylogenetic history.

r-discretization 1.0-1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=discretization
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Data Preprocessing, Discretization for Classification
Description:

This package provides a collection of supervised discretization algorithms. It can also be grouped in terms of top-down or bottom-up, implementing the discretization algorithms.

r-dvir 3.3.0
Propagated dependencies: r-verbalisr@0.7.2 r-ribd@1.7.1 r-pedtools@2.10.0 r-pedprobr@1.0.1 r-pedfamilias@0.2.4 r-pbapply@1.7-4 r-forrel@1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/magnusdv/dvir
Licenses: GPL 3
Build system: r
Synopsis: Disaster Victim Identification
Description:

Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. dvir is part of the pedsuite collection of packages for pedigree analysis.

r-descriptr 0.6.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-rlang@1.1.6 r-magrittr@2.0.4 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://descriptr.rsquaredacademy.com/
Licenses: Expat
Build system: r
Synopsis: Generate Descriptive Statistics
Description:

Generate descriptive statistics such as measures of location, dispersion, frequency tables, cross tables, group summaries and multiple one/two way tables.

r-dprop 0.1.0
Propagated dependencies: r-vares@1.0.2 r-extradistr@1.10.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dprop
Licenses: GPL 2
Build system: r
Synopsis: Computation of Some Important Distributional Properties
Description:

Generally, most of the packages specify the probability density function, cumulative distribution function, quantile function, and random numbers generation of the probability distributions. The present package allows to compute some important distributional properties, including the first four ordinary and central moments, Pearson's coefficient of skewness and kurtosis, the mean and variance, coefficient of variation, median, and quartile deviation at some parametric values of several well-known and extensively used probability distributions.

r-daltoolboxdp 1.2.737
Propagated dependencies: r-tspredit@1.2.747 r-smotefamily@1.4.0 r-reticulate@1.44.1 r-leaps@3.2 r-glmnet@4.1-10 r-fselector@0.34 r-doby@4.7.0 r-daltoolbox@1.2.747
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cefet-rj-dal.github.io/daltoolboxdp/
Licenses: Expat
Build system: r
Synopsis: Python-Based Extensions for Data Analytics Workflows
Description:

This package provides Python-based extensions to enhance data analytics workflows, particularly for tasks involving data preprocessing and predictive modeling. Includes tools for data sampling, transformation, feature selection, balancing strategies (e.g., SMOTE), and model construction. These capabilities leverage Python libraries via the reticulate interface, enabling seamless integration with a broader machine learning ecosystem. Supports instance selection and hybrid workflows that combine R and Python functionalities for flexible and reproducible analytical pipelines. The architecture is inspired by the Experiment Lines approach, which promotes modularity, extensibility, and interoperability across tools. More information on Experiment Lines is available in Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.

r-dvhmetrics 0.4.3
Propagated dependencies: r-shiny@1.11.1 r-reshape2@1.4.5 r-kernsmooth@2.23-26 r-ggplot2@4.0.1 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dwoll/DVHmetrics/
Licenses: GPL 2+
Build system: r
Synopsis: Analyze Dose-Volume Histograms and Check Constraints
Description:

Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.

r-diffcorr 0.4.5
Propagated dependencies: r-pcamethods@2.2.0 r-multtest@2.66.0 r-igraph@2.2.1 r-fdrtool@1.2.18
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DiffCorr
Licenses: GPL 3
Build system: r
Synopsis: Analyzing and Visualizing Differential Correlation Networks in Biological Data
Description:

This package provides a method for identifying pattern changes between 2 experimental conditions in correlation networks (e.g., gene co-expression networks), which builds on a commonly used association measure, such as Pearson's correlation coefficient. This package includes functions to calculate correlation matrices for high-dimensional dataset and to test differential correlation, which means the changes in the correlation relationship among variables (e.g., genes and metabolites) between 2 experimental conditions.

r-dym 0.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DYM
Licenses: Modified BSD
Build system: r
Synopsis: Did You Mean?
Description:

Add a "Did You Mean" feature to the R interactive. With this package, error messages for misspelled input of variable names or package names suggest what you really want to do in addition to notification of the mistake.

r-datapack 1.4.2
Propagated dependencies: r-zip@2.3.3 r-xml@3.99-0.20 r-uuid@1.2-1 r-redland@1.0.17-18 r-fs@1.6.6 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://docs.ropensci.org/datapack/
Licenses: ASL 2.0
Build system: r
Synopsis: Flexible Container to Transport and Manipulate Data and Associated Resources
Description:

This package provides a flexible container to transport and manipulate complex sets of data. These data may consist of multiple data files and associated meta data and ancillary files. Individual data objects have associated system level meta data, and data files are linked together using the OAI-ORE standard resource map which describes the relationships between the files. The OAI- ORE standard is described at <https://www.openarchives.org/ore/>. Data packages can be serialized and transported as structured files that have been created following the BagIt specification. The BagIt specification is described at <https://datatracker.ietf.org/doc/html/draft-kunze-bagit-08>.

r-discoursegt 1.2.0
Propagated dependencies: r-network@1.19.0 r-igraph@2.2.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggally@2.4.0 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=discourseGT
Licenses: Expat
Build system: r
Synopsis: Analyze Group Patterns using Graph Theory in Educational Settings
Description:

Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>.

r-des 1.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DES
Licenses: Expat
Build system: r
Synopsis: Discrete Event Simulation
Description:

Discrete event simulation (DES) involves modeling of systems having discrete, i.e. abrupt, state changes. For instance, when a job arrives to a queue, the queue length abruptly increases by 1. This package is an R implementation of the event-oriented approach to DES; see the tutorial in Matloff (2008) <http://heather.cs.ucdavis.edu/~matloff/156/PLN/DESimIntro.pdf>.

r-domir 1.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jluchman/domir
Licenses: GPL 3+
Build system: r
Synopsis: Tools to Support Relative Importance Analysis
Description:

This package provides methods to apply decomposition-based relative importance analysis for R functions. This package supports the application of decomposition methods by providing lapply'- or Map'-like meta-functions that compute dominance analysis (Azen, R., & Budescu, D. V. (2003) <doi:10.1037/1082-989X.8.2.129>; Grömping, U. (2007) <doi:10.1198/000313007X188252>) an extension of Shapley value regression (Lipovetsky, S., & Conklin, M. (2001) <doi:10.1002/asmb.446>) based on the values returned from other functions.

r-dagassist 0.2.7
Propagated dependencies: r-writexl@1.5.4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dotwhisker@0.8.4 r-dagitty@0.3-4 r-crayon@1.5.3 r-cli@3.6.5 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/grahamgoff/DAGassist
Licenses: GPL 2+
Build system: r
Synopsis: Test Robustness with Directed Acyclic Graphs
Description:

This package provides robustness checks to align estimands with the identification that they require. Given a dagitty object and a model specification, DAGassist classifies variables by causal roles, flags problematic controls, and generates a report comparing the original model with minimal and canonical adjustment sets. Exports publication-grade reports in LaTeX', Word', Excel', dotwhisker', or plain text/'markdown'. DAGassist is built on dagitty', an R package that uses the DAGitty web tool (<https://dagitty.net/>) for creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161> and Textor et al. (2016) <doi:10.1093/ije/dyw341>.

r-dreamer 3.2.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rootsolve@1.8.2.4 r-rlang@1.1.6 r-rjags@4-17 r-purrr@1.2.0 r-ggplot2@4.0.1 r-ellipsis@0.3.2 r-dplyr@1.1.4 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://rich-payne.github.io/dreamer/
Licenses: Expat
Build system: r
Synopsis: Dose Response Models for Bayesian Model Averaging
Description:

Fits dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous and binary responses. Longitudinal dose-response modeling is also supported in a Bayesian model averaging framework as outlined in Payne, Ray, and Thomann (2024) <doi:10.1080/10543406.2023.2292214>. Functions for plotting and calculating various posterior quantities (e.g. posterior mean, quantiles, probability of minimum efficacious dose, etc.) are also implemented. Copyright Eli Lilly and Company (2019).

r-dope 2.1.0
Propagated dependencies: r-tidytext@0.4.3 r-tibble@3.3.0 r-stringr@1.6.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://ctn-0094.github.io/DOPE/
Licenses: Expat
Build system: r
Synopsis: Drug Ontology Parsing Engine
Description:

This package provides information on drug names (brand, generic and street) for drugs tracked by the DEA. There are functions that will search synonyms and return the drug names and types. The vignettes have extensive information on the work done to create the data for the package.

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Total results: 68658