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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-reproducible 3.0.0
Propagated dependencies: r-lobstr@1.1.3 r-fs@1.6.6 r-fpcompare@0.2.4 r-filelock@1.0.3 r-digest@0.6.39 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://reproducible.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Enhance Reproducibility of R Code
Description:

This package provides a collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs()'. Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions()'.

r-ramcharts4 1.6.0
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-shiny@1.11.1 r-reactr@0.6.1 r-minpack-lm@1.2-4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/stla/rAmCharts4
Licenses: GPL 3
Build system: r
Synopsis: Interface to the JavaScript Library 'amCharts 4'
Description:

This package creates JavaScript charts. The charts can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio viewer. Based on the JavaScript library amCharts 4 and the R packages htmlwidgets and reactR'. Currently available types of chart are: vertical and horizontal bar chart, radial bar chart, stacked bar chart, vertical and horizontal Dumbbell chart, line chart, scatter chart, range area chart, gauge chart, boxplot chart, pie chart, and 100% stacked bar chart.

r-rdstreeboot 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RDStreeboot
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: RDS Tree Bootstrap Method
Description:

This package provides a tree bootstrap method for estimating uncertainty in respondent-driven samples (RDS). Quantiles are estimated by multilevel resampling in such a way that preserves the dependencies of and accounts for the high variability of the RDS process.

r-rddi 0.1.1
Propagated dependencies: r-xml2@1.5.0 r-rlang@1.1.6 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rddi
Licenses: GPL 3
Build system: r
Synopsis: R Interface to DDI Codebook 2.5
Description:

This package provides a direct interface to the underlying XML representation of DDI Codebook 2.5 with flexible API creation.

r-rtg 1.0.4
Propagated dependencies: r-minpack-lm@1.2-4 r-mgcv@1.9-4 r-magrittr@2.0.4 r-knitr@1.50 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-brnn@0.9.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jernejjevsenak/rTG
Licenses: GPL 3
Build system: r
Synopsis: Methods to Analyse Seasonal Radial Tree Growth Data
Description:

This package provides methods for comparing different regression algorithms for describing the temporal dynamics of secondary tree growth (xylem and phloem). Users can compare the accuracy of the most common fitting methods usually used to analyse xylem and phloem data, i.e., Gompertz function, Double Gompertz function, General Additive Models (GAMs); and an algorithm newly introduced to the field, i.e., Bayesian Regularised Neural Networks (brnn). The core function of the package is XPSgrowth(), while the results can be interpreted using implemented generic S3 methods, such as plot() and summary().

r-rje 1.12.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rje
Licenses: GPL 2+
Build system: r
Synopsis: Miscellaneous Useful Functions for Statistics
Description:

This package provides a series of functions in some way considered useful to the author. These include methods for subsetting tables and generating indices for arrays, conditioning and intervening in probability distributions, generating combinations, fast transformations, and more...

r-rwstats 0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rwstats
Licenses: CC0
Build system: r
Synopsis: Chinese Character Frequency in Real World
Description:

It contains Chinese character frequency data based on news data from 2017 to 2019. Source of these news include Sina, China daily and Tencent.

r-rtcc 0.1.1
Propagated dependencies: r-vegan@2.7-2 r-testthat@3.3.0 r-rcpp@1.1.0 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RTCC
Licenses: GPL 3
Build system: r
Synopsis: Detecting Trait Clustering in Environmental Gradients
Description:

The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, <doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether if an observed trait clustering pattern is related to an increasing environmental constrain. The method 1) determines whether exists or not a trait clustering on the sampled communities and 2) assess if the observed clustering signal is related or not to an increasing environmental constrain along an environmental gradient. Also, when the effect of the environmental gradient is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.

r-rpart-lad 0.1.3
Propagated dependencies: r-rpart@4.1.24 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rpart.LAD
Licenses: GPL 3
Build system: r
Synopsis: Least Absolute Deviation Regression Trees
Description:

Recursive partitioning for least absolute deviation regression trees. Another algorithm from the 1984 book by Breiman, Friedman, Olshen and Stone in addition to the rpart package (Breiman, Friedman, Olshen, Stone (1984, ISBN:9780412048418).

r-reviewr 2.3.10
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-snakecase@0.11.1 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rsqlite@2.4.4 r-rpostgres@1.4.8 r-rlang@1.1.6 r-redcapr@1.6.0 r-redcapapi@2.11.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-golem@0.5.1 r-glue@1.8.0 r-gargle@1.6.0 r-dt@0.34.0 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3 r-config@0.3.2 r-bigrquery@1.6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://reviewr.thewileylab.org/
Licenses: Modified BSD
Build system: r
Synopsis: Light-Weight, Portable Tool for Reviewing Individual Patient Records
Description:

This package provides a portable Shiny tool to explore patient-level electronic health record data and perform chart review in a single integrated framework. This tool supports browsing clinical data in many different formats including multiple versions of the OMOP common data model as well as the MIMIC-III data model. In addition, chart review information is captured and stored securely via the Shiny interface in a REDCap (Research Electronic Data Capture) project using the REDCap API. See the ReviewR website for additional information, documentation, and examples.

r-rmixtcomp 4.1.5
Propagated dependencies: r-scales@1.4.0 r-rmixtcomputilities@4.1.6 r-rmixtcompio@4.0.11 r-plotly@4.11.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/modal-inria/MixtComp
Licenses: AGPL 3
Build system: r
Synopsis: Mixture Models with Heterogeneous and (Partially) Missing Data
Description:

Mixture Composer (Biernacki (2015) <https://inria.hal.science/hal-01253393v1>) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.

r-rnaseqnet 0.1.5
Propagated dependencies: r-poiclaclu@1.0.2.1 r-igraph@2.2.1 r-hot-deck@1.2 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RNAseqNet
Licenses: GPL 3+
Build system: r
Synopsis: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Description:

Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter. The method is fully described in <doi:10.1093/bioinformatics/btx819>.

r-rtypeform 2.1.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/csgillespie/rtypeform
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Interface to 'typeform' Results
Description:

An R interface to the typeform <https://www.typeform.com/> application program interface. Also provides functions for downloading your results.

r-rasen 3.0.0
Propagated dependencies: r-rpart@4.1.24 r-ranger@0.17.0 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-modelmetrics@1.2.2.2 r-mass@7.3-65 r-kernelknn@1.1.6 r-gridextra@2.3 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-formatr@1.14 r-foreach@1.5.2 r-fnn@1.1.4.1 r-e1071@1.7-16 r-doparallel@1.0.17 r-class@7.3-23 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RaSEn
Licenses: GPL 2
Build system: r
Synopsis: Random Subspace Ensemble Classification and Variable Screening
Description:

We propose a general ensemble classification framework, RaSE algorithm, for the sparse classification problem. In RaSE algorithm, for each weak learner, some random subspaces are generated and the optimal one is chosen to train the model on the basis of some criterion. To be adapted to the problem, a novel criterion, ratio information criterion (RIC) is put up with based on Kullback-Leibler divergence. Besides minimizing RIC, multiple criteria can be applied, for instance, minimizing extended Bayesian information criterion (eBIC), minimizing training error, minimizing the validation error, minimizing the cross-validation error, minimizing leave-one-out error. There are various choices of base classifier, for instance, linear discriminant analysis, quadratic discriminant analysis, k-nearest neighbour, logistic regression, decision trees, random forest, support vector machines. RaSE algorithm can also be applied to do feature ranking, providing us the importance of each feature based on the selected percentage in multiple subspaces. RaSE framework can be extended to the general prediction framework, including both classification and regression. We can use the selected percentages of variables for variable screening. The latest version added the variable screening function for both regression and classification problems.

r-rprobsup 3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RProbSup
Licenses: Expat
Build system: r
Synopsis: Calculates Probability of Superiority
Description:

The A() function calculates the A statistic, a nonparametric measure of effect size for two independent groups thatâ s also known as the probability of superiority (Ruscio, 2008), along with its standard error and a confidence interval constructed using bootstrap methods (Ruscio & Mullen, 2012). Optional arguments can be specified to calculate variants of the A statistic developed for other research designs (e.g., related samples, more than two independent groups or related samples; Ruscio & Gera, 2013). <DOI: 10.1037/1082-989X.13.1.19>. <DOI: 10.1080/00273171.2012.658329>. <DOI: 10.1080/00273171.2012.738184>.

r-rapr 1.1.2
Propagated dependencies: r-terra@1.8-86
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/brownag/rapr/
Licenses: GPL 3+
Build system: r
Synopsis: Interface to 'Rangeland Analysis Platform' (RAP) Products
Description:

This package provides access to Rangeland Analysis Platform (RAP) products <https://rangelands.app/products> for arbitrary extents via GDAL virtual file system.

r-recoder 0.1.2
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=recoder
Licenses: GPL 2+
Build system: r
Synopsis: Simple and Flexible Recoder
Description:

Simple, easy to use, and flexible functionality for recoding variables. It allows for simple piecewise definition of transformations.

r-renvlp 3.4.5
Propagated dependencies: r-rsolnp@2.0.1 r-pls@2.8-5 r-orthogonalsplinebasis@0.1.7 r-matrixcalc@1.0-6 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Renvlp
Licenses: GPL 2
Build system: r
Synopsis: Computing Envelope Estimators
Description:

This package provides a general routine, envMU, which allows estimation of the M envelope of span(U) given root n consistent estimators of M and U. The routine envMU does not presume a model. This package implements response envelopes, partial response envelopes, envelopes in the predictor space, heteroscedastic envelopes, simultaneous envelopes, scaled response envelopes, scaled envelopes in the predictor space, groupwise envelopes, weighted envelopes, envelopes in logistic regression, envelopes in Poisson regression envelopes in function-on-function linear regression, envelope-based Partial Partial Least Squares, envelopes with non-constant error covariance, envelopes with t-distributed errors, reduced rank envelopes and reduced rank envelopes with non-constant error covariance. For each of these model-based routines the package provides inference tools including bootstrap, cross validation, estimation and prediction, hypothesis testing on coefficients are included except for weighted envelopes. Tools for selection of dimension include AIC, BIC and likelihood ratio testing. Background is available at Cook, R. D., Forzani, L. and Su, Z. (2016) <doi:10.1016/j.jmva.2016.05.006>. Optimization is based on a clockwise coordinate descent algorithm.

r-rcartocolor 2.1.2
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/Nowosad/rcartocolor
Licenses: Expat
Build system: r
Synopsis: 'CARTOColors' Palettes
Description:

This package provides color schemes for maps and other graphics designed by CARTO as described at <https://carto.com/carto-colors/>. It includes four types of palettes: aggregation, diverging, qualitative, and quantitative.

r-rnmamod 0.5.0
Propagated dependencies: r-writexl@1.5.4 r-stringr@1.6.0 r-scales@1.4.0 r-reshape2@1.4.5 r-r2jags@0.8-9 r-matrix@1.7-4 r-mass@7.3-65 r-knitr@1.50 r-igraph@2.2.1 r-heatmaply@1.6.0 r-ggrepel@0.9.6 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggfittext@0.10.2 r-gemtc@1.1-0 r-dendextend@1.19.1 r-coda@0.19-4.1 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://CRAN.R-project.org/package=rnmamod
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Network Meta-Analysis with Missing Participants
Description:

This package provides a comprehensive suite of functions to perform and visualise pairwise and network meta-analysis with aggregate binary or continuous missing participant outcome data. The package covers core Bayesian one-stage models implemented in a systematic review with multiple interventions, including fixed-effect and random-effects network meta-analysis, meta-regression, evaluation of the consistency assumption via the node-splitting approach and the unrelated mean effects model (original and revised model proposed by Spineli, (2022) <doi:10.1177/0272989X211068005>), and sensitivity analysis (see Spineli et al., (2021) <doi:10.1186/s12916-021-02195-y>). Missing participant outcome data are addressed in all models of the package (see Spineli, (2019) <doi:10.1186/s12874-019-0731-y>, Spineli et al., (2019) <doi:10.1002/sim.8207>, Spineli, (2019) <doi:10.1016/j.jclinepi.2018.09.002>, and Spineli et al., (2021) <doi:10.1002/jrsm.1478>). The robustness to primary analysis results can also be investigated using a novel intuitive index (see Spineli et al., (2021) <doi:10.1177/0962280220983544>). Methods to evaluate the transitivity assumption using trial dissimilarities and hierarchical clustering are provided (see Spineli, (2024) <doi:10.1186/s12874-024-02436-7>, and Spineli et al., (2025) <doi:10.1002/sim.70068>). A novel index to facilitate interpretation of local inconsistency is also available (see Spineli, (2024) <doi:10.1186/s13643-024-02680-4>) The package also offers a rich, user-friendly visualisation toolkit that aids in appraising and interpreting the results thoroughly and preparing the manuscript for journal submission. The visualisation tools comprise the network plot, forest plots, panel of diagnostic plots, heatmaps on the extent of missing participant outcome data in the network, league heatmaps on estimation and prediction, rankograms, Bland-Altman plot, leverage plot, deviance scatterplot, heatmap of robustness, barplot of Kullback-Leibler divergence, heatmap of comparison dissimilarities and dendrogram of comparison clustering. The package also allows the user to export the results to an Excel file at the working directory.

r-rblpapi 0.3.16
Propagated dependencies: r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://dirk.eddelbuettel.com/code/rblpapi.html
Licenses: FSDG-compatible
Build system: r
Synopsis: R Interface to 'Bloomberg'
Description:

An R Interface to Bloomberg is provided via the Blp API'.

r-rgraphspace 1.1.0
Propagated dependencies: r-scales@1.4.0 r-lifecycle@1.0.4 r-igraph@2.2.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/sysbiolab/RGraphSpace
Licenses: Artistic License 2.0
Build system: r
Synopsis: Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description:

Interface to integrate igraph and ggplot2 graphics in a normalized coordinate system. RGraphSpace implements new geometric objects using ggplot2 prototypes, customized for side-by-side visualization of multiple graphs. By scaling shapes and graph elements, RGraphSpace can provide a framework for layered visualizations.

r-redm 1.15.4
Propagated dependencies: r-rcppthread@2.2.0 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rEDM
Licenses: FreeBSD
Build system: r
Synopsis: Empirical Dynamic Modeling ('EDM')
Description:

An implementation of EDM algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with Rcpp wrappers around the cppEDM library. It implements the simplex projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the S-map algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, multiview embedding described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.

r-rphylopic 1.6.0
Propagated dependencies: r-scales@1.4.0 r-rsvg@2.7.0 r-png@0.1-8 r-pbapply@1.7-4 r-lifecycle@1.0.4 r-knitr@1.50 r-jsonlite@2.0.0 r-httr@1.4.7 r-grimport2@0.3-3 r-ggplot2@4.0.1 r-curl@7.0.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rphylopic.palaeoverse.org
Licenses: GPL 3+
Build system: r
Synopsis: Get Silhouettes of Organisms from PhyloPic
Description:

Work with the PhyloPic Web Service (<http://api-docs.phylopic.org/v2/>) to fetch silhouette images of organisms. Includes functions for adding silhouettes to both base R plots and ggplot2 plots.

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