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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-rnewsflow 1.2.8
Propagated dependencies: r-wordcloud@2.6 r-stringi@1.8.7 r-scales@1.4.0 r-rcppprogress@0.4.2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1 r-quanteda@4.4 r-matrix@1.7-5 r-igraph@2.3.1 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RNewsflow
Licenses: GPL 3
Build system: r
Synopsis: Tools for Comparing Text Messages Across Time and Media
Description:

This package provides a collection of tools for measuring the similarity of text messages and tracing the flow of messages over time and across media.

r-regmhmm 1.0.0
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-mass@7.3-65 r-glmnetutils@1.1.9 r-glmnet@5.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/HenryLeongStat/regmhmm
Licenses: GPL 3+
Build system: r
Synopsis: 'regmhmm' Fits Hidden Markov Models with Regularization
Description:

Designed for longitudinal data analysis using Hidden Markov Models (HMMs). Tailored for applications in healthcare, social sciences, and economics, the main emphasis of this package is on regularization techniques for fitting HMMs. Additionally, it provides an implementation for fitting HMMs without regularization, referencing Zucchini et al. (2017, ISBN:9781315372488).

r-rmdformats 1.0.4
Propagated dependencies: r-rmarkdown@2.31 r-knitr@1.51 r-htmltools@0.5.9 r-bookdown@0.46
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/juba/rmdformats
Licenses: GPL 2+
Build system: r
Synopsis: HTML Output Formats and Templates for 'rmarkdown' Documents
Description:

HTML formats and templates for rmarkdown documents, with some extra features such as automatic table of contents, lightboxed figures, dynamic crosstab helper.

r-readoecd 0.3.4
Propagated dependencies: r-httr2@1.2.2 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://charlescoverdale.github.io/readoecd/
Licenses: Expat
Build system: r
Synopsis: Download and Tidy Data from the 'OECD'
Description:

This package provides clean, tidy access to key economic indicators published by the Organisation for Economic Co-operation and Development ('OECD'), covering GDP, CPI inflation, unemployment, tax revenue, government deficit, health expenditure, education expenditure, income inequality, labour productivity, and current account balance across all 38 OECD member countries. Data is downloaded from the OECD Data Explorer API <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.

r-rlescalation 1.0.3
Propagated dependencies: r-zip@2.3.3 r-reticulate@1.46.0 r-r6@2.6.1 r-nleqslv@3.3.7 r-glue@1.8.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/MatsuuraKentaro/RLescalation
Licenses: Expat
Build system: r
Synopsis: Optimal Dose Escalation Using Deep Reinforcement Learning
Description:

An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).

r-rgap 0.1.1
Propagated dependencies: r-zoo@1.8-15 r-openxlsx@4.2.8.1 r-kfas@1.6.0 r-gridextra@2.3 r-ggplot2@4.0.3 r-dlm@1.1-6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RGAP
Licenses: GPL 3
Build system: r
Synopsis: Production Function Output Gap Estimation
Description:

The output gap indicates the percentage difference between the actual output of an economy and its potential. Since potential output is a latent process, the estimation of the output gap poses a challenge and numerous filtering techniques have been proposed. RGAP facilitates the estimation of a Cobb-Douglas production function type output gap, as suggested by the European Commission (Havik et al. 2014) <https://ideas.repec.org/p/euf/ecopap/0535.html>. To that end, the non-accelerating wage rate of unemployment (NAWRU) and the trend of total factor productivity (TFP) can be estimated in two bivariate unobserved component models by means of Kalman filtering and smoothing. RGAP features a flexible modeling framework for the appropriate state-space models and offers frequentist as well as Bayesian estimation techniques. Additional functionalities include direct access to the AMECO <https://economy-finance.ec.europa.eu/economic-research-and-databases/economic-databases/ameco-database_en> database and automated model selection procedures. See the paper by Streicher (2022) <http://hdl.handle.net/20.500.11850/552089> for details.

r-radous 0.1.3
Propagated dependencies: r-readr@2.2.0 r-httr@1.4.8 r-glue@1.8.1 r-curl@7.1.0 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/feddelegrand7/radous
Licenses: Expat
Build system: r
Synopsis: Query Random User Data from the Random User Generator API
Description:

Generate random user data from the Random User Generator API. For more information, see <https://randomuser.me/>.

r-rsiena 1.6.6
Propagated dependencies: r-xtable@1.8-8 r-network@1.20.0 r-matrix@1.7-5 r-mass@7.3-65 r-lattice@0.22-9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.stats.ox.ac.uk/~snijders/siena/
Licenses: GPL 2 GPL 3 FSDG-compatible
Build system: r
Synopsis: Siena - Simulation Investigation for Empirical Network Analysis
Description:

The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Snijders (2017), <doi:10.1146/annurev-statistics-060116-054035>.

r-rcpptn 0.2-2
Propagated dependencies: r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://github.com/olmjo/RcppTN
Licenses: GPL 2+
Build system: r
Synopsis: Rcpp-Based Truncated Normal Distribution RNG and Family
Description:

R-level and C++-level functionality to generate random deviates from and calculate moments of a Truncated Normal distribution using the algorithm of Robert (1995) <DOI:10.1007/BF00143942>. In addition to RNG, functions for calculating moments, densities, and entropies are provided at both levels.

r-ravages 1.2.0
Propagated dependencies: r-rcppparallel@5.1.11-2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1 r-mlogit@1.1-3 r-gaston@1.6 r-formula@1.2-5 r-dfidx@0.2-0 r-data-table@1.18.4 r-curl@7.1.0 r-bh@1.90.0-1 r-bedr@1.1.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Ravages
Licenses: GPL 3
Build system: r
Synopsis: Rare Variant Analysis and Genetic Simulations
Description:

Rare variant association tests: burden tests (Bocher et al. 2019 <doi:10.1002/gepi.22210>) and the Sequence Kernel Association Test (Bocher et al. 2021 <doi:10.1038/s41431-020-00792-8>) in the whole genome using the RAVA-FIRST approach (Bocher et al. 2022 <doi:10.1371/journal.pgen.1009923>). Ravages also enables to perform genetic simulations (Bocher et al. 2023 <doi:10.1002/gepi.22529>).

r-rscat 1.1.3
Propagated dependencies: r-shinyjs@2.1.1 r-shinycssloaders@1.1.0 r-shiny@1.13.0 r-rjava@1.0-18 r-metrics@0.1.4 r-gridextra@2.3 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RSCAT
Licenses: FSDG-compatible
Build system: r
Synopsis: Shadow-Test Approach to Computerized Adaptive Testing
Description:

As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically assembles entire shadow tests as a part of selecting items throughout the testing process. Selecting items from shadow tests guarantees the compliance of all content constraints defined by the blueprint. RSCAT is an R package for the shadow-test approach to CAT. The objective of RSCAT is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation; 2) Contributing to the academic and scientific community for CAT research. RSCAT is currently designed for dichotomous items based on the three-parameter logistic (3PL) model.

r-regrcoeffsexplorer 1.2.0
Propagated dependencies: r-rlang@1.2.0 r-magrittr@2.0.5 r-gridextra@2.3 r-glmnet@5.0 r-ggpubr@0.6.3 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://vadimtyuryaev.github.io/RegrCoeffsExplorer/
Licenses: Expat
Build system: r
Synopsis: Efficient Visualization of Regression Coefficients for Lm(), Glm(), and Glmnet() Objects
Description:

The visualization tool offers a nuanced understanding of regression dynamics, going beyond traditional per-unit interpretation of continuous variables versus categorical ones. It highlights the impact of unit changes as well as larger shifts like interquartile changes, acknowledging the distribution of empirical data. Furthermore, it generates visualizations depicting alterations in Odds Ratios for predictors across minimum, first quartile, median, third quartile, and maximum values, aiding in comprehending predictor-outcome interplay within empirical data distributions, particularly in logistic regression frameworks.

r-revealedprefs 0.4.2
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-pso@1.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=revealedPrefs
Licenses: GPL 3+
Build system: r
Synopsis: Revealed Preferences and Microeconomic Rationality
Description:

Computation of (direct and indirect) revealed preferences, fast non-parametric tests of rationality axioms (WARP, SARP, GARP), simulation of axiom-consistent data, and detection of axiom-consistent subpopulations. Rationality tests follow Varian (1982) <doi:10.2307/1912771>, axiom-consistent subpopulations follow Crawford and Pendakur (2012) <doi:10.1111/j.1468-0297.2012.02545.x>.

r-roughsets 1.3-8
Propagated dependencies: r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/janusza/RoughSets
Licenses: GPL 2+
Build system: r
Synopsis: Data Analysis Using Rough Set and Fuzzy Rough Set Theories
Description:

Implementations of algorithms for data analysis based on the rough set theory (RST) and the fuzzy rough set theory (FRST). We not only provide implementations for the basic concepts of RST and FRST but also popular algorithms that derive from those theories. The methods included in the package can be divided into several categories based on their functionality: discretization, feature selection, instance selection, rule induction and classification based on nearest neighbors. RST was introduced by ZdzisÅ aw Pawlak in 1982 as a sophisticated mathematical tool to model and process imprecise or incomplete information. By using the indiscernibility relation for objects/instances, RST does not require additional parameters to analyze the data. FRST is an extension of RST. The FRST combines concepts of vagueness and indiscernibility that are expressed with fuzzy sets (as proposed by Zadeh, in 1965) and RST.

r-responsepatterns 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=responsePatterns
Licenses: Expat
Build system: r
Synopsis: Screening for Careless Responding Patterns
Description:

Some survey participants tend to respond carelessly which complicates data analysis. This package provides functions that make it easier to explore responses and identify those that may be problematic. See Gottfried et al. (2022) <doi:10.7275/vyxb-gt24> for more information.

r-raqsapi 2.0.5
Propagated dependencies: r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-purrr@1.2.2 r-magrittr@2.0.5 r-lubridate@1.9.5 r-lifecycle@1.0.5 r-httr2@1.2.2 r-glue@1.8.1 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/USEPA/RAQSAPI/
Licenses: Expat
Build system: r
Synopsis: Simple Interface to the US EPA Air Quality System Data Mart API
Description:

Retrieve air monitoring data and associated metadata from the US Environmental Protection Agency's Air Quality System service using functions. See <https://aqs.epa.gov/aqsweb/documents/data_api.html> for details about the US EPA Data Mart API.

r-renyiextropy 0.4.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/itsmdivakaran/RenyiExtropy
Licenses: Expat
Build system: r
Synopsis: Entropy and Extropy Measures for Probability Distributions
Description:

This package provides functions to compute Shannon entropy, Renyi entropy, Tsallis entropy, and related extropy measures for discrete probability distributions. Includes joint and conditional entropy, KL divergence, Jensen-Shannon divergence, cross-entropy, normalized entropy, and Renyi extropy (including the conditional and maximum forms). All measures use the natural logarithm (nats). Useful for information theory, statistics, and machine learning applications.

r-rplotengine 1.0-9
Propagated dependencies: r-xtable@1.8-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.umh.es
Licenses: GPL 2+
Build system: r
Synopsis: R as a Plotting Engine
Description:

Generate basic charts either by custom applications, or from a small script launched from the system console, or within the R console. Two ASCII text files are necessary: (1) The graph parameters file, which name is passed to the function rplotengine()'. The user can specify the titles, choose the type of the graph, graph output formats (e.g. png, eps), proportion of the X-axis and Y-axis, position of the legend, whether to show or not a grid at the background, etc. (2) The data to be plotted, which name is specified as a parameter ('data_filename') in the previous file. This data file has a tabulated format, with a single character (e.g. tab) between each column. Optionally, the file could include data columns for showing confidence intervals.

r-rising 0.1.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rIsing
Licenses: GPL 2+
Build system: r
Synopsis: High-Dimensional Ising Model Selection
Description:

Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the libLBFGS optimization library by Naoaki Okazaki.

r-romeb 0.2.0
Dependencies: jags@4.3.1
Propagated dependencies: r-rjags@4-17 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/DandanTang0/Romeb
Licenses: GPL 3
Build system: r
Synopsis: Robust Median-Based Bayesian Growth Curve Modeling
Description:

This package implements robust median-based Bayesian linear growth curve models for complete data and for data with Missing Completely at Random (MCAR), Missing At Random (MAR), or Missing Not At Random (MNAR) mechanisms. Models are fitted using rjags through JAGS and posterior summaries are computed with coda'. The main function allows users to specify outcome variables, auxiliary variables for MNAR missingness models, prior hyperparameters, and initial values directly through function arguments.

r-rmsd 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RMSD
Licenses: GPL 3+
Build system: r
Synopsis: Refined Modified Stahel-Donoho Estimators for Outlier Detection
Description:

This package provides a function for multivariate outlier detection named Modified Stahel-Donoho (MSD) estimators is contained. The function is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. The function is called the single core version in Wada & Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86> and evaluated with other methods in Wada, Kawano & Tsubaki (2020) <doi:10.17713/ajs.v49i2.872>.

r-radiant-multivariate 1.6.8
Propagated dependencies: r-shiny@1.13.0 r-scales@1.4.0 r-rlang@1.2.0 r-radiant-model@1.6.12 r-radiant-data@1.6.8 r-psych@2.6.5 r-polycor@0.8-2 r-patchwork@1.3.2 r-mass@7.3-65 r-magrittr@2.0.5 r-lubridate@1.9.5 r-import@1.3.4 r-gparotation@2026.4-1 r-gower@1.0.2 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-clustmixtype@0.4-2 r-car@3.1-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/radiant-rstats/radiant.multivariate/
Licenses: AGPL 3 FSDG-compatible
Build system: r
Synopsis: Multivariate Menu for Radiant: Business Analytics using R and Shiny
Description:

The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in radiant.data'.

r-rhobots 0.1.10
Propagated dependencies: r-wordpiece@2.1.3 r-uwot@0.2.4 r-torch@0.17.0 r-tok@0.2.3 r-safetensors@0.2.1 r-rcpp@1.1.1-1.1 r-matrix@1.7-5 r-jsonlite@2.0.0 r-hfhub@0.1.2 r-dbscan@1.2.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/JPvdP/RhoBots
Licenses: Expat
Build system: r
Synopsis: 'BERTopic'-Style Topic Modeling Without 'Python'
Description:

This package implements the BERTopic topic modeling pipeline directly in R: transformer-based sentence embedding, Uniform Manifold Approximation and Projection dimensionality reduction, Hierarchical Density-Based Spatial Clustering of Applications with Noise clustering, and class-based term frequency-inverse document frequency topic extraction - all without any dependency on Python', conda', or reticulate'. Every stage runs in R through torch', safetensors', tok', uwot', and dbscan'. The package mirrors the accessor API of the original Python package, adds integrated quality metrics and hyperparameter search tools, and introduces part-of-speech filtered and C-value-ranked representation models.

r-request 0.1.0
Propagated dependencies: r-whisker@0.4.1 r-r6@2.6.1 r-magrittr@2.0.5 r-lazyeval@0.2.3 r-jsonlite@2.0.0 r-httr@1.4.8 r-curl@7.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/sckott/request
Licenses: Expat
Build system: r
Synopsis: High Level 'HTTP' Client
Description:

High level and easy HTTP client for R'. Provides functions for building HTTP queries, including query parameters, body requests, headers, authentication, and more.

Total packages: 73977