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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-discretedlm 1.0.0
Propagated dependencies: r-statmod@1.5.1 r-reshape2@1.4.5 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dlnm@2.4.10 r-bayeslogit@2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/DanDempsey/DiscreteDLM
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data
Description:

This package provides tools for fitting Bayesian Distributed Lag Models (DLMs) to longitudinal response data that is a count or binary. Count data is fit using negative binomial regression and binary is fit using quantile regression. The contribution of the lags are fit via b-splines. In addition, infers the predictor inclusion uncertainty. Multimomial models are not supported. Based on Dempsey and Wyse (2025) <doi:10.48550/arXiv.2403.03646>.

r-disclapmix 1.7.5
Propagated dependencies: r-rcppprogress@0.4.2 r-rcpp@1.1.0 r-mass@7.3-65 r-disclap@1.5.1 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://doi.org/10.1016/j.jtbi.2013.03.009
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Discrete Laplace Mixture Inference using the EM Algorithm
Description:

Make inference in a mixture of discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).

r-datasetjson 0.3.0
Propagated dependencies: r-yyjsonr@0.1.21 r-jsonvalidate@1.5.0 r-hms@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://atorus-research.github.io/datasetjson/
Licenses: FSDG-compatible
Build system: r
Synopsis: Read and Write CDISC Dataset JSON Files
Description:

Read, construct and write CDISC (Clinical Data Interchange Standards Consortium) Dataset JSON (JavaScript Object Notation) files, while validating per the Dataset JSON schema file, as described in CDISC (2023) <https://www.cdisc.org/standards/data-exchange/dataset-json>.

r-dimodelsvis 1.0.4
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-rlang@1.1.6 r-plotwidgets@0.5.1 r-pieglyph@1.1.0 r-metr@0.18.3 r-insight@1.4.3 r-glue@1.8.0 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-ggfortify@0.4.19 r-forcats@1.0.1 r-dplyr@1.1.4 r-dimodels@1.3.3 r-colorspace@2.1-2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://rishvish.github.io/DImodelsVis/
Licenses: GPL 3+
Build system: r
Synopsis: Visualising and Interpreting Statistical Models Fit to Compositional Data
Description:

Statistical models fit to compositional data are often difficult to interpret due to the sum to 1 constraint on data variables. DImodelsVis provides novel visualisations tools to aid with the interpretation of models fit to compositional data. All visualisations in the package are created using the ggplot2 plotting framework and can be extended like every other ggplot object.

r-dosresmeta 2.2.0
Propagated dependencies: r-mixmeta@1.2.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://alecri.github.io/software/dosresmeta.html
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Dose-Response Meta-Analysis
Description:

Estimates dose-response relations from summarized dose-response data and to combines them according to principles of (multivariate) random-effects models.

r-dfvad 0.3.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/shipei-zeng/dfvad
Licenses: GPL 2
Build system: r
Synopsis: Diewert and Fox's Method of Value Added Growth Decomposition
Description:

Decomposing value added growth into explanatory factors. A cost constrained value added function is defined to specify the production frontier. Industry estimates can also be aggregated using a weighted average approach. Details about the methodology and data can be found in Diewert and Fox (2018) <doi:10.1093/oxfordhb/9780190226718.013.19> and Zeng, Parsons, Diewert and Fox (2018) <https://www.business.unsw.edu.au/research-site/centreforappliedeconomicresearch-site/Documents/emg2018-6_SZeng_EMG-Slides.pdf>.

r-disttails 0.1.2
Propagated dependencies: r-mass@7.3-65 r-gsl@2.1-9 r-ercv@1.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/SergiVilardell/distTails
Licenses: GPL 3
Build system: r
Synopsis: Collection of Full Defined Distribution Tails
Description:

This package provides a full definition for Weibull tails and Full-Tails Gamma and tools for fitting these distributions to empirical tails. This package build upon the paper by del Castillo, Joan & Daoudi, Jalila & Serra, Isabel. (2012) <doi:10.1017/asb.2017.9>.

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-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>.

r-disclapmix2 0.6.1
Propagated dependencies: r-rcpp@1.1.0 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=disclapmix2
Licenses: GPL 2+
Build system: r
Synopsis: Mixtures of Discrete Laplace Distributions using Numerical Optimisation
Description:

Fit a mixture of Discrete Laplace distributions using plain numerical optimisation. This package has similar applications as the disclapmix package that uses an EM algorithm.

r-dani 0.1-1
Propagated dependencies: r-epi@2.61
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dani
Licenses: GPL 2
Build system: r
Synopsis: Design and Analysis of Non-Inferiority Trials
Description:

This package provides tools to help the design and analysis of resilient non-inferiority trials. These include functions for sample size calculations and analyses of trials, with either a risk difference, risk ratio or arc-sine difference margin, and a function to run simulations to design a trial with the methods described in Quartagno et al. (2019) <arXiv:1905.00241>.

r-dpi 2025.11
Propagated dependencies: r-qgraph@1.9.8 r-mass@7.3-65 r-glue@1.8.0 r-ggplot2@4.0.1 r-crayon@1.5.3 r-cowplot@1.2.0 r-cli@3.6.5 r-bnlearn@5.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://psychbruce.github.io/DPI/
Licenses: GPL 3
Build system: r
Synopsis: The Directed Prediction Index for Causal Direction Inference from Observational Data
Description:

The Directed Prediction Index ('DPI') is a quasi-causal inference (causal discovery) method for observational data designed to quantify the relative endogeneity (relative dependence) of outcome (Y) versus predictor (X) variables in regression models. By comparing the proportion of variance explained (R-squared) between the Y-as-outcome model and the X-as-outcome model while controlling for a sufficient number of possible confounders, it can suggest a plausible (admissible) direction of influence from a less endogenous variable (X) to a more endogenous variable (Y). Methodological details are provided at <https://psychbruce.github.io/DPI/>. This package also includes functions for data simulation and network analysis (correlation, partial correlation, and Bayesian networks).

r-dynmix 2.2
Propagated dependencies: r-zoo@1.8-14 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=dynmix
Licenses: GPL 3
Build system: r
Synopsis: Estimation of Dynamic Finite Mixtures
Description:

Allows to perform the dynamic mixture estimation with state-space components and normal regression components, and clustering with normal mixture. Quasi-Bayesian estimation, as well as, that based on the Kerridge inaccuracy approximation are implemented. Main references: Nagy and Suzdaleva (2013) <doi:10.1016/j.apm.2013.05.038>; Nagy et al. (2011) <doi:10.1002/acs.1239>.

r-dlfm 0.2.2
Propagated dependencies: r-matrixcalc@1.0-6 r-mass@7.3-65 r-laplacesdemon@16.1.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DLFM
Licenses: Expat
Build system: r
Synopsis: Distributed Laplace Factor Model
Description:

Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). <doi:10.1007/s00180-022-01270-z>.

r-deep 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=deep
Licenses: GPL 3
Build system: r
Synopsis: Neural Networks Framework
Description:

Explore neural networks in a layer oriented way, the framework is intended to give the user total control of the internals of a net without much effort. Use classes like PerceptronLayer to create a layer of Percetron neurons, and specify how many you want. The package does all the tricky stuff internally leaving you focused in what you want. I wrote this package during a neural networks course to help me with the problem set.

r-dfa-cancor 0.3.9
Propagated dependencies: r-mvoutlier@2.1.1 r-mvn@6.3 r-mass@7.3-65 r-bayesfactor@0.9.12-4.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DFA.CANCOR
Licenses: GPL 2+
Build system: r
Synopsis: Linear Discriminant Function and Canonical Correlation Analysis
Description:

This package produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and Tabachnik & Fidell (2019, ISBN:9780134790541).

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-daltoolbox 1.3.717
Propagated dependencies: r-tree@1.0-45 r-reshape@0.8.10 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-mclust@6.1.2 r-ggplot2@4.0.1 r-fnn@1.1.4.1 r-e1071@1.7-16 r-dplyr@1.1.4 r-dbscan@1.2.3 r-cluster@2.1.8.1 r-class@7.3-23 r-caret@7.0-1 r-arulessequences@0.2-32 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cefet-rj-dal.github.io/daltoolbox/
Licenses: Expat
Build system: r
Synopsis: Leveraging Experiment Lines to Data Analytics
Description:

The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.

r-divine 0.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-plotly@4.11.0 r-openxlsx@4.2.8.1 r-haven@2.5.5 r-gtsummary@2.5.0 r-ggplot2@4.0.1 r-fmsb@0.7.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://bruigtp.github.io/DIVINE/
Licenses: GPL 3+
Build system: r
Synopsis: Curated Datasets and Tools for Epidemiological Data Analysis
Description:

Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, DIVINE makes the process more efficient, transparent, and reproducible.

r-dire 2.2.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-mass@7.3-65 r-lbfgs@1.2.1.2 r-iterators@1.0.14 r-haven@2.5.5 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://american-institutes-for-research.github.io/Dire/
Licenses: GPL 2
Build system: r
Synopsis: Linear Regressions with a Latent Outcome Variable
Description:

Fit latent variable linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, a latent distribution is conditional on students item response, item characteristics, and conditioning variables the user includes. This latent trait is then integrated out. This software is intended to fit the same models as the existing software AM <https://am.air.org/>. As of version 2, also allows the user to draw plausible values.

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-dcem 2.0.5
Propagated dependencies: r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/parichit/DCEM
Licenses: GPL 3
Build system: r
Synopsis: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
Description:

This package implements the Improved Expectation Maximisation EM* and the traditional EM algorithm for clustering big data (gaussian mixture models for both multivariate and univariate datasets). This version implements the faster alternative-EM* that expedites convergence via structure based data segregation. The implementation supports both random and K-means++ based initialization. Reference: Parichit Sharma, Hasan Kurban, Mehmet Dalkilic (2022) <doi:10.1016/j.softx.2021.100944>. Hasan Kurban, Mark Jenne, Mehmet Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>.

r-delma 0.1.2
Propagated dependencies: r-xml2@1.5.0 r-xfun@0.54 r-withr@3.0.2 r-tibble@3.3.0 r-stringr@1.6.0 r-snakecase@0.11.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-quarto@1.5.1 r-purrr@1.2.0 r-lightparser@0.1.0 r-glue@1.8.0 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://delma.ala.org.au/R/
Licenses: GPL 3
Build system: r
Synopsis: Convert 'R Markdown' and 'Quarto' Documents to Ecological Metadata Language
Description:

Ecological Metadata Language or EML is a long-established format for describing ecological datasets to facilitate sharing and re-use. Because EML is effectively a modified xml schema, however, it is challenging to write and manipulate for non-expert users. delma supports users to write metadata statements in R Markdown or Quarto markdown format, and parse them to EML and (optionally) back again.

r-dosefinding 1.4-1
Propagated dependencies: r-mvtnorm@1.3-3 r-lattice@0.22-7 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/openpharma/DoseFinding
Licenses: GPL 3
Build system: r
Synopsis: Planning and Analyzing Dose Finding Experiments
Description:

The DoseFinding package provides functions for the design and analysis of dose-finding experiments (with focus on pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models (using Bayesian and non-Bayesian estimation), calculating optimal designs and an implementation of the MCPMod methodology (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).

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