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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-jstree 1.2
Propagated dependencies: r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/yonicd/jsTree
Licenses: Expat
Build system: r
Synopsis: Create Interactive Trees with the 'jQuery' 'jsTree' Plugin
Description:

Create and customize interactive trees using the jQuery jsTree <https://www.jstree.com/> plugin library and the htmlwidgets package. These trees can be used directly from the R console, from RStudio', in Shiny apps and R Markdown documents.

r-jmbdirect 0.1.0
Propagated dependencies: r-rstanarm@2.32.2 r-joinerml@0.4.7 r-jmbig@0.1.3 r-jmbayes2@0.6-0 r-fastjm@1.5.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JMbdirect
Licenses: GPL 3
Build system: r
Synopsis: Joint Model for Longitudinal and Multiple Time to Events Data
Description:

This package provides model fitting, prediction, and plotting for joint models of longitudinal and multiple time-to-event data, including methods from Rizopoulos (2012) <doi:10.1201/b12208>. Useful for handling complex survival and longitudinal data in clinical research.

r-juliaconnector 1.1.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JuliaConnectoR
Licenses: FSDG-compatible
Build system: r
Synopsis: Functionally Oriented Interface for Integrating 'Julia' with R
Description:

Allows to import functions and whole packages from Julia in R. Imported Julia functions can directly be called as R functions. Data structures can be translated between Julia and R. More details can also be found in the corresponding article <doi:10.18637/jss.v101.i06>.

r-jackstraw 1.3.17
Propagated dependencies: r-rsvd@1.0.5 r-irlba@2.3.5.1 r-genio@1.1.2 r-corpcor@1.6.10 r-clusterr@1.3.5 r-cluster@2.1.8.1 r-bedmatrix@2.0.4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jackstraw
Licenses: GPL 2
Build system: r
Synopsis: Statistical Inference for Unsupervised Learning
Description:

Test for association between the observed data and their estimated latent variables. The jackstraw package provides a resampling strategy and testing scheme to estimate statistical significance of association between the observed data and their latent variables. Depending on the data type and the analysis aim, the latent variables may be estimated by principal component analysis (PCA), factor analysis (FA), K-means clustering, and related unsupervised learning algorithms. The jackstraw methods learn over-fitting characteristics inherent in this circular analysis, where the observed data are used to estimate the latent variables and used again to test against that estimated latent variables. When latent variables are estimated by PCA, the jackstraw enables statistical testing for association between observed variables and latent variables, as estimated by low-dimensional principal components (PCs). This essentially leads to identifying variables that are significantly associated with PCs. Similarly, unsupervised clustering, such as K-means clustering, partition around medoids (PAM), and others, finds coherent groups in high-dimensional data. The jackstraw estimates statistical significance of cluster membership, by testing association between data and cluster centers. Clustering membership can be improved by using the resulting jackstraw p-values and posterior inclusion probabilities (PIPs), with an application to unsupervised evaluation of cell identities in single cell RNA-seq (scRNA-seq).

r-jsm 1.0.2
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JSM
Licenses: Modified BSD
Build system: r
Synopsis: Semiparametric Joint Modeling of Survival and Longitudinal Data
Description:

Maximum likelihood estimation for the semiparametric joint modeling of survival and longitudinal data. Refer to the Journal of Statistical Software article: <doi:10.18637/jss.v093.i02>.

r-jellyfisher 1.1.1
Propagated dependencies: r-stringr@1.6.0 r-htmlwidgets@1.6.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/HautaniemiLab/jellyfisher
Licenses: Expat
Build system: r
Synopsis: Visualize Spatiotemporal Tumor Evolution with Jellyfish Plots
Description:

Generates interactive Jellyfish plots to visualize spatiotemporal tumor evolution by integrating sample and phylogenetic trees into a unified plot. This approach provides an intuitive way to analyze tumor heterogeneity and evolution over time and across anatomical locations. The Jellyfish plot visualization design was first introduced by Lahtinen, Lavikka, et al. (2023, <doi:10.1016/j.ccell.2023.04.017>). This package also supports visualizing ClonEvol results, a tool developed by Dang, et al. (2017, <doi:10.1093/annonc/mdx517>), for analyzing clonal evolution from multi-sample sequencing data. The clonevol package is not available on CRAN but can be installed from its GitHub repository (<https://github.com/hdng/clonevol>).

r-jwileymisc 1.4.4
Propagated dependencies: r-vgam@1.1-13 r-scales@1.4.0 r-robustbase@0.99-6 r-rlang@1.1.6 r-psych@2.5.6 r-multcompview@0.1-10 r-mice@3.18.0 r-mgcv@1.9-4 r-mass@7.3-65 r-lme4@1.1-37 r-lavaan@0.6-20 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-gamlss@5.5-0 r-fst@0.9.8 r-extraoperators@0.3.0 r-emmeans@2.0.0 r-digest@0.6.39 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://joshuawiley.com/JWileymisc/
Licenses: GPL 3+
Build system: r
Synopsis: Miscellaneous Utilities and Functions
Description:

Miscellaneous tools and functions, including: generate descriptive statistics tables, format output, visualize relations among variables or check distributions, and generic functions for residual and model diagnostics.

r-jbrowser 0.10.2
Propagated dependencies: r-stringr@1.6.0 r-readr@2.1.6 r-reactr@0.6.1 r-mime@0.13 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-ids@1.0.1 r-httpuv@1.6.16 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JBrowseR
Licenses: FSDG-compatible
Build system: r
Synopsis: An R Interface to the JBrowse 2 Genome Browser
Description:

This package provides an R interface to the JBrowse 2 genome browser. Enables embedding a JB2 genome browser in a Shiny app or R Markdown document. The browser can also be launched from an interactive R console. The browser can be loaded with a variety of common genomics data types, and can be used with a custom theme.

r-jtdm 0.1-3
Propagated dependencies: r-reshape2@1.4.5 r-mvtnorm@1.3-3 r-mniw@1.0.2 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggforce@0.5.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/giopogg/jtdm
Licenses: GPL 3
Build system: r
Synopsis: Joint Modelling of Functional Traits
Description:

Fitting and analyzing a Joint Trait Distribution Model. The Joint Trait Distribution Model is implemented in the Bayesian framework using conjugate priors and posteriors, thus guaranteeing fast inference. In particular the package computes joint probabilities and multivariate confidence intervals, and enables the investigation of how they depend on the environment through partial response curves. The method implemented by the package is described in Poggiato et al. (2023) <doi:10.1111/geb.13706>.

r-jointest 1.0
Propagated dependencies: r-flipscores@1.3.2 r-flip@2.5.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jointest
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Testing Through Joint Resampling-Based Tests
Description:

Runs resampling-based tests jointly, e.g., sign-flip score tests from Hemerik et al., (2020) <doi:10.1111/rssb.12369>, to allow for multivariate testing, i.e., weak and strong control of the Familywise Error Rate or True Discovery Proportion.

r-jpstat 0.4.0
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stickyr@0.1.2 r-rlang@1.1.6 r-purrr@1.2.0 r-pillar@1.11.1 r-navigatr@0.2.1 r-lifecycle@1.0.4 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/UchidaMizuki/jpstat
Licenses: Expat
Build system: r
Synopsis: Tools for Easy Use of 'e-Stat', 'RESAS' API, Etc
Description:

This package provides tools to use API such as e-Stat (<https://www.e-stat.go.jp/>), the portal site for Japanese government statistics, and RESAS (Regional Economy and Society Analyzing System, <https://resas.go.jp>).

r-jsonld 2.2.1
Propagated dependencies: r-v8@8.0.1 r-jsonlite@2.0.0 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://docs.ropensci.org/jsonld/
Licenses: Modified BSD
Build system: r
Synopsis: JSON for Linking Data
Description:

JSON-LD <https://www.w3.org/TR/json-ld/> is a light-weight syntax for expressing linked data. It is primarily intended for web-based programming environments, interoperable web services and for storing linked data in JSON-based databases. This package provides bindings to the JavaScript library for converting, expanding and compacting JSON-LD documents.

r-jmotif 1.2.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/jMotif/jmotif-R
Licenses: GPL 2
Build system: r
Synopsis: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description:

This package implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.

r-jubilee 0.3.3
Propagated dependencies: r-zoo@1.8-14 r-yaml@2.3.10 r-xts@0.14.1 r-readxl@1.4.5 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jubilee
Licenses: Artistic License 2.0
Build system: r
Synopsis: Forecasting Long-Term Growth of the U.S. Stock Market and Business Cycles
Description:

This package provides a long-term forecast model called "Jubilee-Tectonic model" is implemented to forecast future returns of the U.S. stock market, Treasury yield, and gold price. The five-factor model forecasts the 10-year and 20-year future equity returns with high R-squared above 80 percent. It is based on linear growth and mean reversion characteristics in the U.S. stock market. This model also enhances the CAPE model by introducing the hypothesis that there are fault lines in the historical CAPE, which can be calibrated and corrected through statistical learning. In addition, it contains a module for business cycles, optimal interest rate, and recession forecasts.

r-journalabbr 0.4.3
Propagated dependencies: r-tidytable@0.11.2 r-stringr@1.6.0 r-stringi@1.8.7 r-shiny@1.11.1 r-purrr@1.2.0 r-httr@1.4.7 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/zoushucai/journalabbr
Licenses: GPL 3+
Build system: r
Synopsis: Journal Abbreviations for BibTeX Documents
Description:

Since the reference management software (such as Zotero', Mendeley') exports Bib file journal abbreviation is not detailed enough, the journalabbr package only abbreviates the journal field of Bib file, and then outputs a new Bib file for generating reference format with journal abbreviation on other software (such as texstudio'). The abbreviation table is from JabRef'. At the same time, Shiny application is provided to generate thebibliography', a reference format that can be directly used for latex paper writing based on Rmd files.

r-jrsicklsnmf 1.2.3
Propagated dependencies: r-umap@0.2.10.0 r-scran@1.38.0 r-rlang@1.1.6 r-rdpack@2.6.4 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pbapply@1.7-4 r-matrix@1.7-4 r-mass@7.3-65 r-kknn@1.4.1 r-irlba@2.3.5.1 r-igraph@2.2.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-foreach@1.5.2 r-factoextra@1.0.7 r-data-table@1.17.8 r-clvalid@0.7 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jrSiCKLSNMF
Licenses: GPL 3
Build system: r
Synopsis: Multimodal Single-Cell Omics Dimensionality Reduction
Description:

This package provides methods to perform Joint graph Regularized Single-Cell Kullback-Leibler Sparse Non-negative Matrix Factorization ('jrSiCKLSNMF', pronounced "junior sickles NMF") on quality controlled single-cell multimodal omics count data. jrSiCKLSNMF specifically deals with dual-assay scRNA-seq and scATAC-seq data. This package contains functions to extract meaningful latent factors that are shared across omics modalities. These factors enable accurate cell-type clustering and facilitate visualizations. Methods for pre-processing, clustering, and mini-batch updates and other adaptations for larger datasets are also included. For further details on the methods used in this package please see Ellis, Roy, and Datta (2023) <doi:10.3389/fgene.2023.1179439>.

r-jmvconnect 2.5.7
Propagated dependencies: r-rcpp@1.1.0 r-rappdirs@0.3.3 r-jmvcore@2.7.7 r-httr@1.4.7 r-evaluate@1.0.5 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jmvconnect
Licenses: GPL 2+
Build system: r
Synopsis: Connect to the 'jamovi' Statistical Spreadsheet
Description:

This package provides methods to access data sets from the jamovi statistical spreadsheet (see <https://www.jamovi.org> for more information) from R.

r-joinless 0.0.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=joinless
Licenses: GPL 3+
Build system: r
Synopsis: Exploratory Analysis of Relationships Between Variables
Description:

This package provides tools to explore and summarize relationship patterns between variables across one or multiple datasets. The package relies on efficient sampling strategies to estimate pairwise associations and supports quick exploratory data analysis for large or heterogeneous data sources.

r-jointmeancov 0.1.0
Propagated dependencies: r-glasso@1.11
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jointMeanCov
Licenses: GPL 2
Build system: r
Synopsis: Joint Mean and Covariance Estimation for Matrix-Variate Data
Description:

Jointly estimates two-group means and covariances for matrix-variate data and calculates test statistics. This package implements the algorithms defined in Hornstein, Fan, Shedden, and Zhou (2018) <doi:10.1080/01621459.2018.1429275>.

r-jrt 1.1.3
Propagated dependencies: r-tidyr@1.3.1 r-psych@2.5.6 r-mirt@1.45.1 r-irr@0.84.1 r-ggsci@4.1.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-directlabels@2025.6.24
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jrt
Licenses: GPL 3
Build system: r
Synopsis: Item Response Theory Modeling and Scoring for Judgment Data
Description:

Psychometric analysis and scoring of judgment data using polytomous Item-Response Theory (IRT) models, as described in Myszkowski and Storme (2019) <doi:10.1037/aca0000225> and Myszkowski (2021) <doi:10.1037/aca0000287>. A function is used to automatically compare and select models, as well as to present a variety of model-based statistics. Plotting functions are used to present category curves, as well as information, reliability and standard error functions.

r-jackknifer 2.0.0
Propagated dependencies: r-future-apply@1.20.0 r-future@1.68.0 r-foreach@1.5.2 r-dofuture@1.1.2
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jackknifeR
Licenses: GPL 3+
Build system: r
Synopsis: Delete-d Jackknife for Point and Interval Estimation
Description:

This package implements delete-d jackknife resampling for robust statistical estimation. The package provides both weighted (HC3-adjusted) and unweighted versions of jackknife estimation, with parallel computation support. Suitable for biomedical research and other fields requiring robust variance estimation.

r-jacobi 3.1.1
Propagated dependencies: r-rvcg@0.25 r-rgl@1.3.31 r-rcpp@1.1.0 r-carlson@3.0.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/stla/jacobi
Licenses: GPL 3
Build system: r
Synopsis: Jacobi Theta Functions and Related Functions
Description:

Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Weierstrass zeta function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, Eisenstein series, lemniscate elliptic functions, elliptic alpha function, Rogers-Ramanujan continued fractions, and Dixon elliptic functions. Complex values of the variable are supported.

r-julia 1.3.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/msuzen/Julia
Licenses: GPL 3
Build system: r
Synopsis: Fractal Image Data Generator
Description:

Generates image data for fractals (Julia and Mandelbrot sets) on the complex plane in the given region and resolution. Benoit B Mandelbrot (1982).

r-jointai 1.1.0
Dependencies: jags@4.3.1
Propagated dependencies: r-survival@3.8-3 r-rlang@1.1.6 r-rjags@4-17 r-mcmcse@1.5-1 r-mathjaxr@1.8-0 r-mass@7.3-65 r-future@1.68.0 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://nerler.github.io/JointAI/
Licenses: GPL 2+
Build system: r
Synopsis: Joint Analysis and Imputation of Incomplete Data
Description:

Joint analysis and imputation of incomplete data in the Bayesian framework, using (generalized) linear (mixed) models and extensions there of, survival models, or joint models for longitudinal and survival data, as described in Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>. Incomplete covariates, if present, are automatically imputed. The package performs some preprocessing of the data and creates a JAGS model, which will then automatically be passed to JAGS <https://mcmc-jags.sourceforge.io/> with the help of the package rjags'.

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