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

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-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-jointvip 1.0.1
Propagated dependencies: r-ggrepel@0.9.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/ldliao/jointVIP
Licenses: Expat
Build system: r
Synopsis: Prioritize Variables with Joint Variable Importance Plot in Observational Study Design
Description:

In the observational study design stage, matching/weighting methods are conducted. However, when many background variables are present, the decision as to which variables to prioritize for matching/weighting is not trivial. Thus, the joint treatment-outcome variable importance plots are created to guide variable selection. The joint variable importance plots enhance variable comparisons via unadjusted bias curves derived under the omitted variable bias framework. The plots translate variable importance into recommended values for tuning parameters in existing methods. Post-matching and/or weighting plots can also be used to visualize and assess the quality of the observational study design. The method motivation and derivation is presented in "Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot" by Liao et al. (2024) <doi:10.1080/00031305.2024.2303419>. See the package paper by Liao and Pimentel (2024) <doi:10.21105/joss.06093> for a beginner friendly user introduction.

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-japanapis 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-scales@1.4.0 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/lightbluetitan/japanapis
Licenses: Expat
Build system: r
Synopsis: Access Japanese Data via Public APIs and Curated Datasets
Description:

This package provides functions to access data from public RESTful APIs including Nager.Date', World Bank API', and REST Countries API', retrieving real-time or historical data related to Japan, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on Japan, covering topics such as natural disasters, economic production, vehicle industry, air quality, demographics, and administrative divisions. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: Nager.Date <https://date.nager.at/Api>, World Bank API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and REST Countries API <https://restcountries.com/>.

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-jmbayes2 0.6-0
Propagated dependencies: r-survival@3.8-3 r-survc1@1.0-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-parallelly@1.45.1 r-nlme@3.1-168 r-matrixstats@1.5.0 r-mass@7.3-65 r-gridextra@2.3 r-glmmadaptive@0.9-7 r-ggplot2@4.0.1 r-coda@0.19-4.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://drizopoulos.github.io/JMbayes2/
Licenses: GPL 3+
Build system: r
Synopsis: Extended Joint Models for Longitudinal and Time-to-Event Data
Description:

Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).

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-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-jarbes 2.4.2
Dependencies: jags@4.3.1
Propagated dependencies: r-tidyr@1.3.1 r-rjags@4-17 r-r2jags@0.8-9 r-qpdf@1.4.1 r-mass@7.3-65 r-kableextra@1.4.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggextra@0.11.0 r-ggally@2.4.0 r-bookdown@0.45
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=jarbes
Licenses: GPL 2+
Build system: r
Synopsis: Just a Rather Bayesian Evidence Synthesis
Description:

This package provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).

r-jds-rmd 0.3.4
Propagated dependencies: r-rmarkdown@2.30 r-bookdown@0.45
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/wenjie2wang/jds.rmd
Licenses: GPL 3+
Build system: r
Synopsis: R Markdown Templates for Journal of Data Science
Description:

Customized R Markdown templates for authoring articles for Journal of Data Science.

r-jmbig 0.1.3
Propagated dependencies: r-survival@3.8-3 r-rstanarm@2.32.2 r-nlme@3.1-168 r-joinerml@0.4.7 r-jmbayes2@0.6-0 r-ggplot2@4.0.1 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=jmBIG
Licenses: GPL 3
Build system: r
Synopsis: Joint Longitudinal and Survival Model for Big Data
Description:

This package provides analysis tools for big data where the sample size is very large. It offers a suite of functions for fitting and predicting joint models, which allow for the simultaneous analysis of longitudinal and time-to-event data. This statistical methodology is particularly useful in medical research where there is often interest in understanding the relationship between a longitudinal biomarker and a clinical outcome, such as survival or disease progression. This can be particularly useful in a clinical setting where it is important to be able to predict how a patient's health status may change over time. Overall, this package provides a comprehensive set of tools for joint modeling of BIG data obtained as survival and longitudinal outcomes with both Bayesian and non-Bayesian approaches. Its versatility and flexibility make it a valuable resource for researchers in many different fields, particularly in the medical and health sciences.

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@2.16.1 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'.

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-jof 0.1.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JoF
Licenses: GPL 3
Build system: r
Synopsis: Modelling and Simulating Judgments of Frequency
Description:

In a typical experiment for the intuitive judgment of frequencies (JoF) different stimuli with different frequencies are presented. The participants consider these stimuli with a constant duration and give a judgment of frequency. These judgments can be simulated by formal models: PASS 1 and PASS 2 based on Sedlmeier (2002, ISBN:978-0198508632), MINERVA 2 baesd on Hintzman (1984) <doi:10.3758/BF03202365> and TODAM 2 based on Murdock, Smith & Bai (2001) <doi:10.1006/jmps.2000.1339>. The package provides an assessment of the frequency by determining the core aspects of these four models (attention, decay, and presented frequency) that can be compared to empirical results.

r-jsutils 0.2.0
Propagated dependencies: r-quickjsr@1.8.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/andrjohns/QuickJSR
Licenses: Expat
Build system: r
Synopsis: 'JavaScript' Utilities for 'R'
Description:

This package provides a collection of popular/useful JavaScript utilities, including the terser minifier, sass compiler, typescript transpiler, and more.

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-juicyjuice 0.1.0
Propagated dependencies: r-v8@8.0.1
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/rich-iannone/juicyjuice
Licenses: Expat
Build system: r
Synopsis: Inline CSS Properties into HTML Tags Using 'juice'
Description:

There are occasions where you need a piece of HTML with integrated styles. A prime example of this is HTML email. This transformation involves moving the CSS and associated formatting instructions from the style block in the head of your document into the body of the HTML. Many prominent email clients require integrated styles in HTML email; otherwise a received HTML email will be displayed without any styling. This package will quickly and precisely perform these CSS transformations when given HTML text and it does so by using the JavaScript juice library.

r-justifyalpha 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-shiny@1.11.1 r-qpdf@1.4.1 r-ggplot2@4.0.1 r-bayesfactor@0.9.12-4.7
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JustifyAlpha
Licenses: Expat
Build system: r
Synopsis: Justifying Alpha Levels for Hypothesis Tests
Description:

This package provides functions to justify alpha levels for statistical hypothesis tests by avoiding Lindley's paradox, or by minimizing or balancing error rates. For more information about the package please read the following: Maier & Lakens (2021) <doi:10.31234/osf.io/ts4r6>).

r-jico 0.1
Propagated dependencies: r-rlist@0.4.6.2 r-nleqslv@3.3.5 r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=JICO
Licenses: GPL 3+
Build system: r
Synopsis: Joint and Individual Regression
Description:

An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2024). <Journal of Computational and Graphical Statistics, 33(3), 763-773>]. It aims at solving the multi-group regression problem. The algorithm decomposes the responses from multiple groups into shared and group-specific components, which are driven by low-rank approximations of joint and individual structures from the covariates respectively.

r-javateak 1.0
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://cran.r-project.org/package=javateak
Licenses: Expat
Build system: r
Synopsis: Javanese Teak Above Ground Biomass Estimation
Description:

Simplifies the process of estimating above ground biomass components for teak trees using a few basic inputs, based on the equations taken from the journal "Allometric equations for estimating above ground biomass and leaf area of planted teak (Tectona grandis) forests under agroforestry management in East Java, Indonesia" (Purwanto & Shiba, 2006) <doi:10.60409/forestresearch.76.0_1>. This function is most reliable when applied to trees from the same region where the equations were developed, specifically East Java, Indonesia. This function help to estimate the stem diameter at the lowest major living branch (DB) using the stem diameter at breast height with R^2 = 0.969. Estimate the branch dry weight (WB) using the stem diameter at breast height and tree height (R^2 = 0.979). Estimate the stem weight (WS) using the stem diameter at breast height and tree height (R^2 = 0.997. Also estimate the leaf dry weight (WL) using the stem diameter at the lowest major living branch (R^2 = 0.996).

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-jacobieigen 0.3-4
Propagated dependencies: 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=JacobiEigen
Licenses: GPL 2+
Build system: r
Synopsis: Classical Jacobi Eigenvalue Algorithm
Description:

This package implements the classical Jacobi algorithm for the eigenvalues and eigenvectors of a real symmetric matrix, both in pure R and in C++ using Rcpp'. Mainly as a programming example for teaching purposes.

r-jenga 1.3.0
Propagated dependencies: r-tictoc@1.2.1 r-scales@1.4.0 r-rfast@2.1.5.2 r-readr@2.1.6 r-purrr@1.2.0 r-philentropy@0.10.0 r-narray@0.5.2 r-moments@0.14.1 r-modeest@2.4.0 r-lubridate@1.9.4 r-imputets@3.4 r-greybox@2.0.8 r-ggplot2@4.0.1 r-fastdummies@1.7.5 r-fancova@0.6-1 r-entropy@1.3.2 r-dplyr@1.1.4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://rpubs.com/giancarlo_vercellino/jenga
Licenses: GPL 3
Build system: r
Synopsis: Fast Extrapolation of Time Features using K-Nearest Neighbors
Description:

Fast extrapolation of univariate and multivariate time features using K-Nearest Neighbors. The compact set of hyper-parameters is tuned via grid or random search.

r-jordan 1.0-6
Propagated dependencies: r-quadform@0.0-4 r-onion@1.5-3 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/j.scm (guix-cran packages j)
Home page: https://github.com/RobinHankin/jordan
Licenses: GPL 2+
Build system: r
Synopsis: Suite of Routines for Working with Jordan Algebras
Description:

This package provides a Jordan algebra is an algebraic object originally designed to study observables in quantum mechanics. Jordan algebras are commutative but non-associative; they satisfy the Jordan identity. The package follows the ideas and notation of K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of Jordan Algebras". To cite the package in publications, please use Hankin (2023) <doi:10.48550/arXiv.2303.06062>.

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