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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-jointcalib 0.1.0
Propagated dependencies: r-survey@4.4-8 r-sampling@2.11 r-mathjaxr@1.8-0 r-mass@7.3-65 r-laeken@0.5.3 r-ebal@0.1-8
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/ncn-foreigners/jointCalib
Licenses: GPL 3
Build system: r
Synopsis: Joint Calibration of Totals and Quantiles
Description:

This package provides a small package containing functions to perform a joint calibration of totals and quantiles. The calibration for totals is based on Deville and Särndal (1992) <doi:10.1080/01621459.1992.10475217>, the calibration for quantiles is based on Harms and Duchesne (2006) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X20060019255>. The package uses standard calibration via the survey', sampling or laeken packages. In addition, entropy balancing via the ebal package and empirical likelihood based on codes from Wu (2005) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2005002/article/9051-eng.pdf> can be used. See the paper by BerÄ sewicz and Szymkowiak (2023) for details <arXiv:2308.13281>.

r-jgsbook 1.0.7
Propagated dependencies: r-statip@0.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jgsbook
Licenses: GPL 2+
Build system: r
Synopsis: Package of the German Book "Statistik mit R und RStudio" by Joerg grosse Schlarmann
Description:

All datasets and functions used in the german book "Statistik mit R und RStudio" by grosse Schlarmann (2010-2024) <https://www.produnis.de/R/>.

r-jackalope 1.1.6
Dependencies: zlib@1.3.1
Propagated dependencies: r-rhtslib@3.6.0 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r6@2.6.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/lucasnell/jackalope
Licenses: Expat
Build system: r
Synopsis: Swift, Versatile Phylogenomic and High-Throughput Sequencing Simulator
Description:

Simply and efficiently simulates (i) variants from reference genomes and (ii) reads from both Illumina <https://www.illumina.com/> and Pacific Biosciences (PacBio) <https://www.pacb.com/> platforms. It can either read reference genomes from FASTA files or simulate new ones. Genomic variants can be simulated using summary statistics, phylogenies, Variant Call Format (VCF) files, and coalescent simulationsâ the latter of which can include selection, recombination, and demographic fluctuations. jackalope can simulate single, paired-end, or mate-pair Illumina reads, as well as PacBio reads. These simulations include sequencing errors, mapping qualities, multiplexing, and optical/polymerase chain reaction (PCR) duplicates. Simulating Illumina sequencing is based on ART by Huang et al. (2012) <doi:10.1093/bioinformatics/btr708>. PacBio sequencing simulation is based on SimLoRD by Stöcker et al. (2016) <doi:10.1093/bioinformatics/btw286>. All outputs can be written to standard file formats.

r-jmatrix 1.5.2
Propagated dependencies: r-rcpp@1.1.0 r-memuse@4.2-3
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jmatrix
Licenses: GPL 2+
Build system: r
Synopsis: Read from/Write to Disk Matrices with any Data Type in a Binary Format
Description:

This package provides a mainly instrumental package meant to allow other packages whose core is written in C++ to read, write and manipulate matrices in a binary format so that the memory used for them is no more than strictly needed. Its functionality is already inside parallelpam and scellpam', so if you have installed any of these, you do not need to install jmatrix'. Using just the needed memory is not always true with R matrices or vectors, since by default they are of double type. Trials like the float package have been done, but to use them you have to coerce a matrix already loaded in R memory to a float matrix, and then you can delete it. The problem comes when your computer has not memory enough to hold the matrix in the first place, so you are forced to load it by chunks. This is the problem this package tries to address (with partial success, but this is a difficult problem since R is not a strictly typed language, which is anyway quite hard to get in an interpreted language). This package allows the creation and manipulation of full, sparse and symmetric matrices of any standard data type.

r-jcolors 0.0.5
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://jaredhuling.org/jcolors/
Licenses: GPL 2
Build system: r
Synopsis: Colors Palettes for R and 'ggplot2', Additional Themes for 'ggplot2'
Description:

This package contains a selection of color palettes and ggplot2 themes designed by the package author.

r-jobqueue 1.7.0
Propagated dependencies: r-rlang@1.1.6 r-r6@2.6.1 r-ps@1.9.1 r-promises@1.5.0 r-parallelly@1.45.1 r-magrittr@2.0.4 r-later@1.4.4 r-interprocess@1.3.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cmmr.github.io/jobqueue/
Licenses: Expat
Build system: r
Synopsis: Run Interruptible Code Asynchronously
Description:

Takes an R expression and returns a job object with a $stop() method which can be called to terminate the background job. Also provides timeouts and other mechanisms for automatically terminating a background job. The result of the expression is available synchronously via $result or asynchronously with callbacks or through the promises package framework.

r-jsonnormalize 1.0.0
Propagated dependencies: r-v8@8.0.1 r-rstudioapi@0.17.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/stla/jsonNormalize
Licenses: GPL 3
Build system: r
Synopsis: Normalization of 'JSON' Strings
Description:

This package provides a function allowing to normalize a JSON string, for example by adding double quotes around the keys when they are missing. Also provides RStudio addins for the same purpose.

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@0.2.9.7 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-jlmerclusterperm 1.1.4
Dependencies: julia@1.8.5
Propagated dependencies: r-lme4@1.1-37 r-juliaformulae@0.1.0 r-juliaconnector@1.1.5 r-generics@0.1.4 r-cli@3.6.5 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/yjunechoe/jlmerclusterperm
Licenses: Expat
Build system: r
Synopsis: Cluster-Based Permutation Analysis for Densely Sampled Time Data
Description:

An implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld, 2007 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates Julia libraries MixedModels.jl and GLM.jl for performance improvements, with additional functionalities for interfacing with Julia from R powered by the JuliaConnectoR package.

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-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'.

r-jump 1.0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JUMP
Licenses: GPL 3
Build system: r
Synopsis: Replicability Analysis of High-Throughput Experiments
Description:

Implementing a computationally scalable false discovery rate control procedure for replicability analysis based on maximum of p-values. Please cite the manuscript corresponding to this package [Lyu, P. et al., (2023), <doi:10.1093/bioinformatics/btad366>].

r-jmdesign 1.6
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JMdesign
Licenses: GPL 2
Build system: r
Synopsis: Joint Modeling of Longitudinal and Survival Data - Power Calculation
Description:

This package performs power calculations for joint modeling of longitudinal and survival data with k-th order trajectories when the variance-covariance matrix, Sigma_theta, is unknown.

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-jgr 1.9-2
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11 r-javagd@0.6-6
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://rforge.net/JGR/
Licenses: GPL 2
Build system: r
Synopsis: Java GUI for R
Description:

Java GUI for R - cross-platform, universal and unified Graphical User Interface for R. For full functionality on Windows and Mac OS X JGR requires a start application which depends on your OS.

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-jmdem 1.0.1
Propagated dependencies: r-vgam@1.1-13 r-statmod@1.5.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jmdem
Licenses: GPL 2
Build system: r
Synopsis: Fitting Joint Mean and Dispersion Effects Models
Description:

Joint mean and dispersion effects models fit the mean and dispersion parameters of a response variable by two separate linear models, the mean and dispersion submodels, simultaneously. It also allows the users to choose either the deviance or the Pearson residuals as the response variable of the dispersion submodel. Furthermore, the package provides the possibility to nest the submodels in one another, if one of the parameters has significant explanatory power on the other. Wu & Li (2016) <doi:10.1016/j.csda.2016.04.015>.

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-jointfpm 1.3.0
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1 r-rstpm2@1.7.1 r-rmutil@1.1.10 r-rlang@1.1.6 r-matrixstats@1.5.0 r-lifecycle@1.0.4 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/entjos/JointFPM
Licenses: FSDG-compatible
Build system: r
Synopsis: Parametric Model for Estimating the Mean Number of Events
Description:

Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models as described in Entrop et al., (2025) <doi:10.1002/bimj.70038>. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.

r-jsuparameters 1.0.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JSUparameters
Licenses: GPL 3+
Build system: r
Synopsis: Estimate Parameters of the Best-Fitting JohnsonSU Distribution
Description:

Uses least squares optimisation to estimate the parameters of the best-fitting JohnsonSU distribution for a given dataset, with the possibility of the distributions corresponding to the limiting cases of the JohnsonSU distribution. The code for the Golden Section Search used in the optimisation has been adapted from E. Cai. This package has been created as an extension of my Master's thesis. E. Cai (2013, "Scripts and Functions: Using R to Implement the Golden Section Search Method for Numerical Optimization", <https://chemicalstatistician.wordpress.com/2013/04/22/using-r-to-implement-the-golden-bisection-method/>).

r-joinspy 0.7.3
Propagated dependencies: r-rlang@1.1.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://gillescolling.com/joinspy/
Licenses: Expat
Build system: r
Synopsis: Diagnostic Tools for Data Frame Joins
Description:

This package provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in Wickham (2014) <doi:10.18637/jss.v059.i10>.

r-jackstrap 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-rlang@1.1.6 r-reshape@0.8.10 r-plyr@1.8.9 r-ggplot2@4.0.1 r-foreach@1.5.2 r-fbasics@4041.97 r-dplyr@1.1.4 r-doparallel@1.0.17 r-benchmarking@0.33
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jackstrap
Licenses: GPL 3
Build system: r
Synopsis: Correcting Nonparametric Frontier Measurements for Outliers
Description:

This package provides method used to check whether data have outlier in efficiency measurement of big samples with data envelopment analysis (DEA). In this jackstrap method, the package provides two criteria to define outliers: heaviside and k-s test. The technique was developed by Sousa and Stosic (2005) "Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers." <doi:10.1007/s11123-005-4702-4>.

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-jsconsole 0.1.0
Propagated dependencies: r-v8@8.0.1 r-rstudioapi@0.17.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/stla/JSconsole
Licenses: GPL 3
Build system: r
Synopsis: 'RStudio' Addin to Send 'JavaScript' Code to the 'V8' Console
Description:

This package provides a RStudio addin to send some JavaScript code to the V8 console. The user can send an entire JavaScript file or only some selected lines. This is useful to test the code.

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