_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-jollofr 0.6.5
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-sf@1.0-23 r-reshape2@1.4.5 r-raster@3.6-32 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/wpgp/jollofR/
Licenses: Expat
Build system: r
Synopsis: Small Area Population Estimation by Demographics
Description:

Automatic disaggregation of small-area population estimates by demographic groups (e.g., age, sex, race, marital status, educational level, etc) along with the estimates of uncertainty, using advanced Bayesian statistical modelling approaches based on integrated nested Laplace approximation (INLA) Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> and stochastic partial differential equation (SPDE) methods Lindgren et al. (2011) <doi:10.1111/j.1467-9868.2011.00777.x>. The package implements hierarchical Bayesian modeling frameworks for small area estimation as described in Leasure et al. (2020) <doi:10.1073/pnas.1913050117> and Nnanatu et al. (2025) <doi:10.1038/s41467-025-59862-4>.

r-jocre 0.3.3
Propagated dependencies: r-tsp@1.2.6 r-plyr@1.8.9 r-kernsmooth@2.23-26 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jocre
Licenses: GPL 2
Build system: r
Synopsis: Joint Confidence Regions
Description:

Computing and plotting joint confidence regions and intervals. Regions include classical ellipsoids, minimum-volume or minimum-length regions, and an empirical Bayes region. Intervals include the TOST procedure with ordinary or expanded intervals and a fixed-sequence procedure. Such regions and intervals are useful e.g., for the assessment of multi-parameter (bio-)equivalence. Joint confidence regions for the mean and variance of a normal distribution are available as well.

r-jetty 0.2.2
Propagated dependencies: r-rlang@1.1.6 r-renv@1.1.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/dmolitor/jetty
Licenses: GPL 3+
Build system: r
Synopsis: Execute R in a 'Docker' Context
Description:

The goal of jetty is to execute R functions and code snippets in an isolated R subprocess within a Docker container and return the evaluated results to the local R session. jetty can install necessary packages at runtime and seamlessly propagates errors and outputs from the Docker subprocess back to the main session. jetty is primarily designed for sandboxed testing and quick execution of example code.

r-jamendor 0.1.1
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/MaxGreil/JamendoR
Licenses: Expat
Build system: r
Synopsis: Access to 'Jamendo' API
Description:

This package provides an interface to Jamendo API <https://developer.jamendo.com/v3.0>. Pull audio, features and other information for a given Jamendo user (including yourself!) or enter an artist's -, album's -, or track's name and retrieve the available information in seconds.

r-jstreer 2.6.0
Propagated dependencies: r-shinyace@0.4.4 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-r-utils@2.13.0 r-miniui@0.1.2 r-jquerylib@0.1.4 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-fontawesome@0.5.3 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/stla/jsTreeR
Licenses: GPL 3
Build system: r
Synopsis: Wrapper of the JavaScript Library 'jsTree'
Description:

This package creates interactive trees that can be included in Shiny apps and R markdown documents. A tree allows to represent hierarchical data (e.g. the contents of a directory). Similar to the shinyTree package but offers more features and options, such as the grid extension, restricting the drag-and-drop behavior, and settings for the search functionality. It is possible to attach some data to the nodes of a tree and then to get these data in Shiny when a node is selected. Also provides a Shiny gadget allowing to manipulate one or more folders, and a Shiny module allowing to navigate in the server side file system.

r-jdcruncher 0.3.6
Propagated dependencies: r-openxlsx@4.2.8.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/InseeFr/JDCruncheR
Licenses: FSDG-compatible
Build system: r
Synopsis: Interface Between the 'JDemetra+' Cruncher and R, and Quality Report Generator
Description:

Tool for generating quality reports from cruncher outputs (and calculating series scores). The latest version of the cruncher can be downloaded here: <https://github.com/jdemetra/jwsacruncher/releases>.

r-jqbr 1.0.4
Propagated dependencies: r-shiny@1.11.1 r-jsonlite@2.0.0 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/hfshr/jqbr
Licenses: Expat
Build system: r
Synopsis: 'jQuery QueryBuilder' Input for 'Shiny'
Description:

This package provides a highly configurable jQuery plugin offering a simple interface to create complex queries/filters in Shiny'. The outputted rules can easily be parsed into a set of R and/or SQL queries and used to filter data. Custom parsing of the rules is also supported. For more information about jQuery QueryBuilder see <https://querybuilder.js.org/>.

r-jcrimpactfactor 1.0.0
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JCRImpactFactor
Licenses: GPL 3
Build system: r
Synopsis: Journal Citation Reports ('JCR') Impact Factor by 'Clarivate' 'Analytics'
Description:

The Impact Factor of a journal reported by Journal Citation Reports ('JCR') of Clarivate Analytics is provided. The impact factor is available for those journals only that were included Journal Citation Reports JCR'.

r-jmastats 0.3.0
Propagated dependencies: r-xml2@1.5.0 r-units@1.0-0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sf@1.0-23 r-rvest@1.0.5 r-rlang@1.1.6 r-readr@2.1.6 r-rappdirs@0.3.3 r-purrr@1.2.0 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://uribo.github.io/jmastats/
Licenses: Expat
Build system: r
Synopsis: Download Weather Data from Japan Meteorological Agency Website
Description:

This package provides features that allow users to download weather data published by the Japan Meteorological Agency (JMA) website (<https://www.jma.go.jp/jma/index.html>). The data includes information dating back to 1976 and aligns with the categories available on the website. Additionally, users can process the best track data of typhoons and easily handle earthquake record files.

r-jagsui 1.6.3
Dependencies: jags@4.3.1
Propagated dependencies: r-rjags@4-17 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://kenkellner.com/jagsUI/
Licenses: GPL 3
Build system: r
Synopsis: Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
Description:

This package provides a set of wrappers around rjags functions to run Bayesian analyses in JAGS (specifically, via libjags'). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the R2WinBUGS'/'R2OpenBUGS packages to allow easy switching between MCMC samplers.

r-jewel 2.0.2
Propagated dependencies: r-smut@1.1 r-purrr@1.2.0 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-mass@7.3-65 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/annaplaksienko/jewel
Licenses: GPL 2
Build system: r
Synopsis: Graphical Models Estimation from Multiple Sources
Description:

Estimates networks of conditional dependencies (Gaussian graphical models) from multiple classes of data (similar but not exactly, i.e. measurements on different equipment, in different locations or for various sub-types). Package also allows to generate simulation data and evaluate the performance. Implementation of the method described in Angelini, De Canditiis and Plaksienko (2022) <doi:10.3390/math10213983>.

r-jfa 0.7.4
Propagated dependencies: r-truncdist@1.0-2 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-extradistr@1.10.0 r-bh@1.87.0-1 r-bde@1.0.1.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://koenderks.github.io/jfa/
Licenses: GPL 3+
Build system: r
Synopsis: Statistical Methods for Auditing
Description:

This package provides statistical methods for auditing as implemented in JASP for Audit (Derks et al., 2021 <doi:10.21105/joss.02733>). First, the package makes it easy for an auditor to plan a statistical sample, select the sample from the population, and evaluate the misstatement in the sample compliant with international auditing standards. Second, the package provides statistical methods for auditing data, including tests of digit distributions and repeated values. Finally, the package includes methods for auditing algorithms on the aspect of fairness and bias. Next to classical statistical methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) <doi:10.1111/ijau.12240>, Derks et al. (2024) <doi:10.2308/AJPT-2021-086>, Derks et al. (2022) <doi:10.31234/osf.io/8nf3e> Derks et al. (2024) <doi:10.31234/osf.io/tgq5z>, and Derks et al. (2025) <doi:10.31234/osf.io/b8tu2>.

r-jdenticon 0.1.1
Propagated dependencies: r-yesno@0.1.3 r-processx@3.8.6 r-magick@2.9.0 r-jsonlite@2.0.0 r-glue@1.8.0 r-fs@1.6.6
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jdenticon
Licenses: Expat
Build system: r
Synopsis: Wrapper for the Node.js 'Jdenticon' Library
Description:

This package provides a Wrapper for the Node.js Jdenticon <https://jdenticon.com/> Library. Uses esbuild <https://esbuild.github.io/> to reduce user dependencies.

r-joker 0.14.2
Propagated dependencies: r-matrix@1.7-4 r-ggplot2@4.0.1 r-ggh4x@0.3.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://thechibo.github.io/joker/
Licenses: GPL 3+
Build system: r
Synopsis: Probability Distributions and Parameter Estimation
Description:

This package implements an S4 distribution system and estimation methods for parameters of common distribution families. The common d, p, q, r function family for each distribution is enriched with the ll, e, and v counterparts, computing the log-likelihood, performing estimation, and calculating the asymptotic variance - covariance matrix, respectively. Parameter estimation is performed analytically whenever possible.

r-jtools 2.3.1
Propagated dependencies: r-tibble@3.3.0 r-sandwich@3.1-1 r-rlang@1.1.6 r-pkgconfig@2.0.3 r-pander@0.6.6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-generics@0.1.4 r-cli@3.6.5 r-broom-mixed@0.2.9.6 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://jtools.jacob-long.com
Licenses: GPL 3+
Build system: r
Synopsis: Analysis and Presentation of Social Scientific Data
Description:

This is a collection of tools for more efficiently understanding and sharing the results of (primarily) regression analyses. There are also a number of miscellaneous functions for statistical and programming purposes. Support for models produced by the survey and lme4 packages are points of emphasis.

r-json64 0.1.3
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=json64
Licenses: Expat
Build system: r
Synopsis: 'Base64' Encode/Decode Package with Support for JSON Output/Input and UTF-8
Description:

Encode/Decode base64', with support for JSON format, using two functions: j_encode() and j_decode(). Base64 is a group of similar binary-to-text encoding schemes that represent binary data in an ASCII string format by translating it into a radix-64 representation, used when there is a need to encode binary data that needs to be stored and transferred over media that are designed to deal with textual data, ensuring that the data will remain intact and without modification during transport. <https://developer.mozilla.org/en-US/docs/Web/API/WindowBase64/Base64_encoding_and_decoding> On the other side, JSON (JavaScript Object Notation) is a lightweight data-interchange format. Easy to read, write, parse and generate. It is based on a subset of the JavaScript Programming Language. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. JSON structure is built around name:value pairs and ordered list of values. <https://www.json.org> The first function, j_encode(), let you transform a data.frame or list to a base64 encoded JSON (or JSON string). The j_decode() function takes a base64 string (could be an encoded JSON) and transform it to a data.frame (or list, depending of the JSON structure).

r-jeek 1.1.1
Propagated dependencies: r-pcapp@2.0-5 r-lpsolve@5.6.23 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/QData/jeek
Licenses: GPL 2
Build system: r
Synopsis: Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Description:

This package provides a fast and scalable joint estimator for integrating additional knowledge in learning multiple related sparse Gaussian Graphical Models (JEEK). The JEEK algorithm can be used to fast estimate multiple related precision matrices in a large-scale. For instance, it can identify multiple gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional and heterogeneous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(jeek) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi "A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models" (ICML 2018) <arXiv:1806.00548>.

r-jmv 2.7.7
Propagated dependencies: r-vcdextra@0.9.0 r-vcd@1.4-13 r-rocr@1.0-11 r-r6@2.6.1 r-psych@2.5.6 r-pmcmr@4.4 r-nnet@7.3-20 r-mvnormtest@0.1-9-3 r-multcomp@1.4-29 r-matrixstats@1.5.0 r-mass@7.3-65 r-magrittr@2.0.4 r-lavaan@0.6-20 r-jmvcore@2.7.7 r-gparotation@2025.3-1 r-ggridges@0.5.7 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggally@2.4.0 r-emmeans@2.0.0 r-dplyr@1.1.4 r-car@3.1-3 r-bayesfactor@0.9.12-4.7 r-afex@1.5-0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jmv
Licenses: GPL 2+
Build system: r
Synopsis: The 'jamovi' Analyses
Description:

This package provides a suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the jamovi statistical spreadsheet (see <https://www.jamovi.org> for more information).

r-josaplay 0.1.3
Propagated dependencies: r-utf8@1.2.6 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/mrchypark/josaplay
Licenses: Expat
Build system: r
Synopsis: Add Josa Based on Previous Letter in Korean
Description:

Josa in Korean is often determined by judging the previous word. When writing reports using Rmd, a function that prints the appropriate investigation for each case is helpful. The josaplay package then evaluates the previous word to determine which josa is appropriate.

r-jql 3.6.9
Propagated dependencies: r-randomforest@4.7-1.2 r-pdist@1.2.1 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JQL
Licenses: LGPL 3
Build system: r
Synopsis: Jump Q-Learning for Individualized Interval-Valued Dose Rule
Description:

We provide tools to estimate the individualized interval-valued dose rule (I2DR) that maximizes the expected beneficial clinical outcome for each individual and returns an optimal interval-valued dose, by using the jump Q-learning (JQL) method. The jump Q-learning method directly models the conditional mean of the response given the dose level and the baseline covariates via jump penalized least squares regression under the framework of Q learning. We develop a searching algorithm by dynamic programming in order to find the optimal I2DR with the time complexity O(n2) and spatial complexity O(n). To alleviate the effects of misspecification of the Q-function, a residual jump Q-learning is further proposed to estimate the optimal I2DR. The outcome of interest includes the best partition of the entire dosage of interest, the regression coefficients of each partition, and the value function under the estimated I2DR as well as the Wald-type confidence interval of value function constructed through the Bootstrap.

r-jmbayes 0.9-0
Dependencies: jags@4.3.1
Propagated dependencies: r-xtable@1.8-4 r-survival@3.8-3 r-shiny@1.11.1 r-rstan@2.32.7 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nlme@3.1-168 r-mass@7.3-65 r-jagsui@1.6.3 r-hmisc@5.2-4 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/drizopoulos/JMbayes
Licenses: GPL 2+
Build system: r
Synopsis: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description:

Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.

r-jlpm 1.0.2
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-randtoolbox@2.0.5 r-marqlevalg@2.0.8 r-lcmm@2.2.2
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JLPM
Licenses: GPL 2+
Build system: r
Synopsis: Joint Latent Process Models
Description:

Estimation of extended joint models with shared random effects. Longitudinal data are handled in latent process models for continuous (Gaussian or curvilinear) and ordinal outcomes while proportional hazard models are used for the survival part. We propose a frequentist approach using maximum likelihood estimation. See Saulnier et al, 2022 <doi:10.1016/j.ymeth.2022.03.003>.

r-janus 1.0.0
Propagated dependencies: r-tictoc@1.2.1 r-tensorflow@2.20.0 r-statrank@0.0.6 r-rmpfr@1.1-2 r-reticulate@1.44.1 r-readr@2.1.6 r-rcppalgos@2.9.3 r-purrr@1.2.0 r-narray@0.5.2 r-metrics@0.1.4 r-lubridate@1.9.4 r-keras@2.16.0 r-hash@2.2.6.3 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://rpubs.com/giancarlo_vercellino/janus
Licenses: GPL 3
Build system: r
Synopsis: Optimized Recommending System Based on 'tensorflow'
Description:

Proposes a coarse-to-fine optimization of a recommending system based on deep-neural networks using tensorflow'.

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