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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-dpkg 0.6.2
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-httr2@1.2.1 r-glue@1.8.0 r-fs@1.6.6 r-cli@3.6.5 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/cole-brokamp/dpkg
Licenses: Expat
Build system: r
Synopsis: Create, Stow, and Read Data Packages
Description:

Data frame, tibble, or tbl objects are converted to data package objects using specific metadata labels (name, version, title, homepage, description). A data package object ('dpkg') can be written to disk as a parquet file or released to a GitHub repository. Data package objects can be read into R from online repositories and downloaded files are cached locally across R sessions.

r-diario 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-keyring@1.4.1 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: <https://github.com/StrategicProjects/diario>
Licenses: Expat
Build system: r
Synopsis: 'R' Interface to the 'Diariodeobras' Application
Description:

This package provides a set of functions for securely storing API tokens and interacting with the <https://diariodeobras.net> system. Includes convenient wrappers around the httr2 package to perform authenticated requests, retrieve project details, tasks, reports, and more.

r-doconv 0.3.3
Dependencies: libreoffice@25.2.5.2
Propagated dependencies: r-processx@3.8.6 r-pdftools@3.6.0 r-magick@2.9.0 r-locatexec@0.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doconv
Licenses: Expat
Build system: r
Synopsis: Document Conversion to 'PDF' or 'PNG'
Description:

It provides the ability to generate images from documents of different types. Three main features are provided: functions for generating document thumbnails, functions for performing visual tests of documents and a function for updating fields and table of contents of a Microsoft Word or RTF document. In order to work, LibreOffice must be installed on the machine and or Microsoft Word'. If the latter is available, it can be used to produce PDF documents or images identical to the originals; otherwise, LibreOffice is used and the rendering can be sometimes different from the original documents.

r-dbnr 0.8.0
Propagated dependencies: r-rcpp@1.1.0 r-r6@2.6.1 r-mass@7.3-65 r-magrittr@2.0.4 r-data-table@1.17.8 r-bnlearn@5.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dkesada/dbnR
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Bayesian Network Learning and Inference
Description:

Learning and inference over dynamic Bayesian networks of arbitrary Markovian order. Extends some of the functionality offered by the bnlearn package to learn the networks from data and perform exact inference. It offers three structure learning algorithms for dynamic Bayesian networks: Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014) <doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021) <doi:10.1007/978-3-030-86271-8_14>. It also offers the possibility to perform forecasts of arbitrary length. A tool for visualizing the structure of the net is also provided via the visNetwork package. Further detailed information and examples can be found in our Journal of Statistical Software paper Quesada D., Larrañaga P. and Bielza C. (2025) <doi:10.18637/jss.v115.i06>.

r-descr 1.1.8
Propagated dependencies: r-xtable@1.8-4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jalvesaq/descr
Licenses: GPL 2+
Build system: r
Synopsis: Descriptive Statistics
Description:

Weighted frequency and contingency tables of categorical variables and of the comparison of the mean value of a numerical variable by the levels of a factor, and methods to produce xtable objects of the tables and to plot them. There are also functions to facilitate the character encoding conversion of objects, to quickly convert fixed width files into csv ones, and to export a data.frame to a text file with the necessary R and SPSS codes to reread the data.

r-dracor 0.2.6
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/natverse/dracor
Licenses: ASL 2.0
Build system: r
Synopsis: Decode Draco Format 3D Mesh Data
Description:

Decodes meshes and point cloud data encoded by the Draco mesh compression library from Google. Note that this is only designed for basic decoding and not intended as a full scale wrapping of the Draco library.

r-dots 0.0.3
Propagated dependencies: r-terra@1.8-86 r-sp@2.2-0 r-sf@1.0-23 r-rmapshaper@0.5.0 r-rlang@1.1.6 r-purrr@1.2.0 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/christopherkenny/dots
Licenses: Expat
Build system: r
Synopsis: Dot Density Maps
Description:

Generate point data for representing people within spatial data. This collects a suite of tools for creating simple dot density maps. Several functions from different spatial packages are standardized to take the same arguments so that they can be easily substituted for each other.

r-difr 6.1.0
Propagated dependencies: r-vgam@1.1-13 r-tidyr@1.3.1 r-tibble@3.3.0 r-mirt@1.45.1 r-ltm@1.2-0 r-lme4@1.1-37 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-desctools@0.99.60 r-deltaplotr@1.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/343Babou/difR
Licenses: GPL 2+
Build system: r
Synopsis: Collection of Methods to Detect Dichotomous, Polytomous, and Continuous Differential Item Functioning (DIF)
Description:

This package provides methods to detect differential item functioning (DIF) in dichotomous, polytomous, and continuous items, using both classical and modern approaches. These include Mantel-Haenszel procedures, logistic regression (including ordinal models), and regularization-based methods such as LASSO. Uniform and non-uniform DIF effects can be detected, and some methods support multiple focal groups. The package also provides tools for anchor purification, rest score matching, effect size estimation, and DIF simulation. See Magis, Beland, Tuerlinckx, and De Boeck (2010, Behavior Research Methods, 42, 847â 862, <doi:10.3758/BRM.42.3.847>) for a general overview.

r-djl 3.9
Propagated dependencies: r-lpsolveapi@5.5.2.0-17.14 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=DJL
Licenses: GPL 2
Build system: r
Synopsis: Distance Measure Based Judgment and Learning
Description:

This package implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, network DEA, dynamic DEA, intertemporal budgeting, etc.

r-dysem 1.4.1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-semplot@1.1.7 r-rlang@1.1.6 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-lavaan@0.6-20 r-gt@1.3.0 r-eganet@2.4.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jsakaluk/dySEM
Licenses: GPL 3
Build system: r
Synopsis: Dyadic Structural Equation Modeling
Description:

Scripting of structural equation models via lavaan for Dyadic Data Analysis, and helper functions for supplemental calculations, tabling, and model visualization.

r-dinamic-duo 1.0.4
Dependencies: python@3.11.14
Propagated dependencies: r-plyr@1.8.9 r-httr@1.4.7 r-dinamic@1.0.1 r-biomart@2.66.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DiNAMIC.Duo
Licenses: GPL 3
Build system: r
Synopsis: Finding Recurrent DNA Copy Number Alterations and Differences
Description:

In tumor tissue, underlying genomic instability can lead to DNA copy number alterations, e.g., copy number gains or losses. Sporadic copy number alterations occur randomly throughout the genome, whereas recurrent alterations are observed in the same genomic region across multiple independent samples, perhaps because they provide a selective growth advantage. Here we use cyclic shift permutations to identify recurrent copy number alterations in a single cohort or recurrent copy number differences in two cohorts based on a common set of genomic markers. Additional functionality is provided to perform downstream analyses, including the creation of summary files and graphics. DiNAMIC.Duo builds upon the original DiNAMIC package of Walter et al. (2011) <doi:10.1093/bioinformatics/btq717> and leverages the theory developed in Walter et al. (2015) <doi:10.1093/biomet/asv046>. An article describing DiNAMIC.Duo by Walter et al. (2022) can be found at <doi: 10.1093/bioinformatics/btac542>.

r-descsuppr 1.2
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-rankfd@0.1.1 r-purrr@1.2.0 r-plyr@1.8.9 r-nparcomp@3.0 r-glue@1.8.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-descutils@1.0 r-desctools@0.99.60 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=descsuppR
Licenses: GPL 3
Build system: r
Synopsis: Support Functions for (Reproducible) Descriptive Statistics
Description:

This package contains functions to help with generating tables with descriptive statistics. In addition, the package can display results of statistical tests for group comparisons. A wide range of test procedures is supported, and user-defined test functions can be incorporated.

r-diseasemapping 2.0.6
Propagated dependencies: r-terra@1.8-86
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diseasemapping
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Modelling Spatial Variation in Disease Risk for Areal Data
Description:

Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA'. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.

r-deseats 1.1.1
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-shiny@1.11.1 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-progressr@0.18.0 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-furrr@0.3.1 r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=deseats
Licenses: GPL 3
Build system: r
Synopsis: Data-Driven Locally Weighted Regression for Trend and Seasonality in TS
Description:

Various methods for the identification of trend and seasonal components in time series (TS) are provided. Among them is a data-driven locally weighted regression approach with automatically selected bandwidth for equidistant short-memory time series. The approach is a combination / extension of the algorithms by Feng (2013) <doi:10.1080/02664763.2012.740626> and Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598> and a brief description of this new method is provided in the package documentation. Furthermore, the package allows its users to apply the base model of the Berlin procedure, version 4.1, as described in Speth (2004) <https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>. Permission to include this procedure was kindly provided by the Federal Statistical Office of Germany.

r-digss 1.0.2
Propagated dependencies: r-viridis@0.6.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/markhubbe/DIGSS
Licenses: Expat
Build system: r
Synopsis: Determination of Intervals Using Georeferenced Survey Simulation
Description:

Simulation tool to estimate the rate of success that surveys possessing user-specific characteristics have in identifying archaeological sites (or any groups of clouds of objects), given specific parameters of survey area, survey methods, and site properties. The survey approach used is largely based on the work of Kintigh (1988) <doi:10.2307/281113>.

r-designsize 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=designsize
Licenses: GPL 3
Build system: r
Synopsis: Sample Size Calculation of Various Study Designs
Description:

Different sample size calculations with different study designs. These techniques are explained by Chow (2007) <doi:10.1201/9781584889830>.

r-dfr 0.1.6
Propagated dependencies: r-sgs@0.3.9 r-matrix@1.7-4 r-mass@7.3-65 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ff1201/dfr
Licenses: GPL 3+
Build system: r
Synopsis: Dual Feature Reduction for SGL
Description:

Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.

r-dlim 0.2.1
Propagated dependencies: r-viridis@0.6.5 r-tsmodel@0.6-2 r-rlang@1.1.6 r-reshape2@1.4.5 r-mgcv@1.9-4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-dlnm@2.4.10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://ddemateis.github.io/dlim/
Licenses: GPL 3+
Build system: r
Synopsis: Distributed Lag Interaction Model
Description:

Collection of functions for fitting and interpreting distributed lag interaction models (DLIM). A DLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a continuous variable. Includes a dlim() function for fitting, predict() function for inference, and plotting functions for visualization. Details on methodology are described in Demateis et al. (2024) <doi:10.1002/env.2843>.

r-dummy 0.1.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dummy
Licenses: GPL 2+
Build system: r
Synopsis: Automatic Creation of Dummies with Support for Predictive Modeling
Description:

Efficiently create dummies of all factors and character vectors in a data frame. Support is included for learning the categories on one data set (e.g., a training set) and deploying them on another (e.g., a test set).

r-deconvolver 1.2-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://bnaras.github.io/deconvolveR/
Licenses: GPL 2+
Build system: r
Synopsis: Empirical Bayes Estimation Strategies
Description:

Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods. Details and examples are in the paper by Narasimhan and Efron (2020, <doi:10.18637/jss.v094.i11>).

r-divemove 1.6.4
Propagated dependencies: r-unireg@1.1 r-quantreg@6.1 r-plotly@4.11.0 r-kernsmooth@2.23-26 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/spluque/diveMove
Licenses: GPL 3
Build system: r
Synopsis: Dive Analysis and Calibration
Description:

Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.

r-dblcens 1.1.9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/yfyang86/dblcens/
Licenses: GPL 2+
Build system: r
Synopsis: Compute the NPMLE of Distribution Function from Doubly Censored Data, Plus the Empirical Likelihood Ratio for F(T)
Description:

Doubly censored data, as described in Chang and Yang (1987) <doi: 10.1214/aos/1176350608>), are commonly seen in many fields. We use EM algorithm to compute the non-parametric MLE (NPMLE) of the cummulative probability function/survival function and the two censoring distributions. One can also specify a constraint F(T)=C, it will return the constrained NPMLE and the -2 log empirical likelihood ratio for this constraint. This can be used to test the hypothesis about the constraint and, by inverting the test, find confidence intervals for probability or quantile via empirical likelihood ratio theorem. Influence functions of hat F may also be calculated, but currently, the it may be slow.

r-dfcrm 0.2-2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://www.columbia.edu/~yc632
Licenses: GPL 2
Build system: r
Synopsis: Dose-Finding by the Continual Reassessment Method
Description:

This package provides functions to run the CRM and TITE-CRM in phase I trials and calibration tools for trial planning purposes.

r-ds 4.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=ds
Licenses: GPL 2
Build system: r
Synopsis: Descriptive Statistics
Description:

This package performs various analyzes of descriptive statistics, including correlations, graphics and tables.

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