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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-ggdiagram 0.1.1
Propagated dependencies: r-vctrs@0.6.5 r-tinytex@0.58 r-tinter@0.1.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-signs@0.1.2 r-scales@1.4.0 r-s7@0.2.1 r-rlang@1.1.6 r-purrr@1.2.0 r-pdftools@3.6.0 r-magrittr@2.0.4 r-magick@2.9.0 r-lavaan@0.6-20 r-janitor@2.2.1 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-ggarrow@0.1.1 r-geomtextpath@0.2.0 r-farver@2.1.2 r-dplyr@1.1.4 r-cli@3.6.5 r-bezier@1.1.2 r-arrowheadr@1.0.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/wjschne/ggdiagram
Licenses: CC0
Build system: r
Synopsis: Object-Oriented Diagram Plots with 'ggplot2'
Description:

This package creates diagrams with an object-oriented approach. Geometric objects have computed properties with information about themselves (e.g., their area) or about their relationships with other objects (e.g, the distance between their edges). The objects have methods to convert them to geoms that can be plotted in ggplot2'.

r-googlepolylines 0.8.7
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/SymbolixAU/googlePolylines
Licenses: Expat
Build system: r
Synopsis: Encoding Coordinates into 'Google' Polylines
Description:

Encodes simple feature ('sf') objects and coordinates, and decodes polylines using the Google polyline encoding algorithm (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).

r-gcsm 0.2.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/liuyadong/GCSM
Licenses: Expat
Build system: r
Synopsis: Implements Generic Composite Similarity Measure
Description:

This package provides implementation of the generic composite similarity measure (GCSM) described in Liu et al. (2020) <doi:10.1016/j.ecoinf.2020.101169>. The implementation is in C++ and uses RcppArmadillo'. Additionally, implementations of the structural similarity (SSIM) and the composite similarity measure based on means, standard deviations, and correlation coefficient (CMSC), are included.

r-gpvecchia 0.1.8
Propagated dependencies: r-sparseinv@0.1.3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-gpgp@1.0.0 r-fnn@1.1.4.1 r-fields@17.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GPvecchia
Licenses: GPL 2+
Build system: r
Synopsis: Scalable Gaussian-Process Approximations
Description:

Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) <doi:10.48550/arXiv.1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <doi:10.48550/arXiv.1706.02205> and MaxMin ordering proposed in Guinness (2018) <doi:10.48550/arXiv.1609.05372>.

r-gsstda 1.0.0
Propagated dependencies: r-visnetwork@2.1.4 r-survival@3.8-3 r-devtools@2.4.6 r-complexheatmap@2.26.0 r-cluster@2.1.8.1 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GSSTDA
Licenses: GPL 3
Build system: r
Synopsis: Progression Analysis of Disease with Survival using Topological Data Analysis
Description:

Mapper-based survival analysis with transcriptomics data is designed to carry out. Mapper-based survival analysis is a modification of Progression Analysis of Disease (PAD) where survival data is taken into account in the filtering function. More details in: J. Fores-Martos, B. Suay-Garcia, R. Bosch-Romeu, M.C. Sanfeliu-Alonso, A. Falco, J. Climent, "Progression Analysis of Disease with Survival (PAD-S) by SurvMap identifies different prognostic subgroups of breast cancer in a large combined set of transcriptomics and methylation studies" <doi:10.1101/2022.09.08.507080>.

r-gasanalyzer 0.4.3
Propagated dependencies: r-xml2@1.5.0 r-vctrs@0.6.5 r-units@1.0-0 r-tidyxl@1.0.10 r-tibble@3.3.0 r-stringi@1.8.7 r-nleqslv@3.3.5 r-jsonify@1.2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://gitlab.com/plantphys/gasanalyzer
Licenses: GPL 3
Build system: r
Synopsis: Import, Recompute and Analyze Data from Portable Gas Analyzers
Description:

The gasanalyzer R package offers methods for importing, preprocessing, and analyzing data related to photosynthetic characteristics (gas exchange, chlorophyll fluorescence and isotope ratios). It translates variable names into a standard format, and can recalculate derived, physiological quantities using imported or predefined equations. The package also allows users to assess the sensitivity of their results to different assumptions used in the calculations. See also Tholen (2024) <doi:10.1093/aobpla/plae035>.

r-ggdiceplot 1.0.1
Propagated dependencies: r-scales@1.4.0 r-legendry@0.2.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/maflot/ggdiceplot
Licenses: Expat
Build system: r
Synopsis: Dice Plot Visualization for 'ggplot2'
Description:

This package provides ggplot2 extensions for creating dice-based visualizations where each dot position represents a specific categorical variable. The package includes geom_dice() for displaying presence/absence of categorical variables using traditional dice patterns. Each dice position (1-6) represents a different category, with dots shown only when that category is present. This allows intuitive visualization of up to 6 categorical variables simultaneously.

r-grmsem 1.1.0
Propagated dependencies: r-optimparallel@1.0-2 r-numderiv@2016.8-1.1 r-msm@1.8.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://CRAN.R-project.org/package=grmsem
Licenses: GPL 3
Build system: r
Synopsis: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)
Description:

Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) <doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020) <doi:10.1101/2020.08.14.251199>.

r-geess 1.0.0
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geess
Licenses: GPL 2+
Build system: r
Synopsis: Modified Generalized Estimating Equations for Small-Sample Data
Description:

Analyze small-sample clustered or longitudinal data using modified generalized estimating equations with bias-adjusted covariance estimator. The package provides any combination of three modified generalized estimating equations and 11 bias-adjusted covariance estimators.

r-grbase 2.0.3
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://people.math.aau.dk/~sorenh/software/gR/
Licenses: GPL 2+
Build system: r
Synopsis: Package for Graphical Modelling in R
Description:

The gRbase package provides graphical modelling features used by e.g. the packages gRain', gRim and gRc'. gRbase implements graph algorithms including (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralization, (iii) triangulation, (iv) creation of junction tree. gRbase facilitates array operations, gRbase implements functions for testing for conditional independence. gRbase illustrates how hierarchical log-linear models may be implemented and describes concept of graphical meta data. The facilities of the package are documented in the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>) and in the paper by Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>). Please see citation("gRbase") for citation details.

r-goalp 0.3.1
Propagated dependencies: r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=goalp
Licenses: GPL 3+
Build system: r
Synopsis: Weighted and Lexicographic Goal Programming Interface
Description:

Solves goal programming problems of the weighted and lexicographic type, as well as combinations of the two, as described by Ignizio (1983) <doi:10.1016/0305-0548(83)90003-5>. Allows for a simple human-readable input describing the problem as a series of equations. Relies on the lpSolve package to solve the underlying linear optimisation problem.

r-ggcompare 0.0.6
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://hmu-wh.github.io/ggcompare/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Mean Comparison in 'ggplot2'
Description:

Add mean comparison annotations to a ggplot'. This package provides an easy way to indicate if two or more groups are significantly different in a ggplot'. Usually you do not need to specify the test method, you only need to tell stat_compare() whether you want to perform a parametric test or a nonparametric test, and stat_compare() will automatically choose the appropriate test method based on your data. For comparisons between two groups, the p-value is calculated by t-test (parametric) or Wilcoxon rank sum test (nonparametric). For comparisons among more than two groups, the p-value is calculated by One-way ANOVA (parametric) or Kruskal-Wallis test (nonparametric).

r-ggswissmaps 0.1.2
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/gibonet/ggswissmaps
Licenses: GPL 2
Build system: r
Synopsis: Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects
Description:

Offers various swiss maps as data frames and ggplot2 objects and gives the possibility to add layers of data on the maps. Data are publicly available from the swiss federal statistical office. In addition to the \codemaps2 object (a list of 8 swiss maps, at various levels), there are the data frames with the boundaries used to produce these maps (\codeshp_df, a list with 8 data frames).

r-ggdmcheaders 0.2.9.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/yxlin/ggdmcHeaders
Licenses: GPL 2+
Build system: r
Synopsis: 'C++' Headers for 'ggdmc' Package
Description:

This package provides a fast C++ implementation of the design-based, Diffusion Decision Model (DDM) and the Linear Ballistic Accumulation (LBA) model. It enables the user to optimise the choice response time model by connecting with the Differential Evolution Markov Chain Monte Carlo (DE-MCMC) sampler implemented in the ggdmc package. The package fuses the hierarchical modelling, Bayesian inference, choice response time models and factorial designs, allowing users to build their own design-based models. For more information on the underlying models, see the works by Voss, Rothermund, and Voss (2004) <doi:10.3758/BF03196893>, Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>, and Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>.

r-genepop 1.2.14
Propagated dependencies: r-stringr@1.6.0 r-rcppprogress@0.4.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://www.r-project.org
Licenses: FSDG-compatible
Build system: r
Synopsis: Population Genetic Data Analysis Using Genepop
Description:

Makes the Genepop software available in R. This software implements a mixture of traditional population genetic methods and some more focused developments: it computes exact tests for Hardy-Weinberg equilibrium, for population differentiation and for genotypic disequilibrium among pairs of loci; it computes estimates of F-statistics, null allele frequencies, allele size-based statistics for microsatellites, etc.; and it performs analyses of isolation by distance from pairwise comparisons of individuals or population samples.

r-ggdoe 0.8
Propagated dependencies: r-insight@1.4.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://ggdoe.netlify.app
Licenses: Expat
Build system: r
Synopsis: Modern Graphs for Design of Experiments with 'ggplot2'
Description:

Generate commonly used plots in the field of design of experiments using ggplot2'. ggDoE currently supports the following plots: alias matrix, box cox transformation, boxplots, lambda plot, regression diagnostic plots, half normal plots, main and interaction effect plots for factorial designs, contour plots for response surface methodology, Pareto plot, and two dimensional projections of a latin hypercube design.

r-grpseq 1.0
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://sites.google.com/view/lmaowisc/
Licenses: GPL 2+
Build system: r
Synopsis: Group Sequential Analysis of Clinical Trials
Description:

Design of group sequential trials, including non-binding futility analysis at multiple time points (Gallo, Mao, and Shih, 2014, <doi:10.1080/10543406.2014.932285>).

r-ggquiver 0.4.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/mitchelloharawild/ggquiver
Licenses: GPL 3
Build system: r
Synopsis: Quiver Plots for 'ggplot2'
Description:

An extension of ggplot2 to provide quiver plots to visualise vector fields. This functionality is implemented using a geom to produce a new graphical layer, which allows aesthetic options. This layer can be overlaid on a map to improve visualisation of mapped data.

r-gmc 0.1.2
Propagated dependencies: r-ks@1.15.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GMC
Licenses: GPL 3+
Build system: r
Synopsis: Generalized Measure of Correlation (GMC)
Description:

This package provides tools to compute the Generalized Measure of Correlation (GMC), a dependence measure accounting for nonlinearity and asymmetry in the relationship between variables. Based on the method proposed by Zheng, Shi, and Zhang (2012) <doi:10.1080/01621459.2012.710509>.

r-gofcat 0.1.2
Propagated dependencies: r-vgam@1.1-13 r-stringr@1.6.0 r-reshape@0.8.10 r-matrix@1.7-4 r-epir@2.0.90 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gofcat
Licenses: GPL 2
Build system: r
Synopsis: Goodness-of-Fit Measures for Categorical Response Models
Description:

This package provides a post-estimation method for categorical response models (CRM). Inputs from objects of class serp(), clm(), polr(), multinom(), mlogit(), vglm() and glm() are currently supported. Available tests include the Hosmer-Lemeshow tests for the binary, multinomial and ordinal logistic regression; the Lipsitz and the Pulkstenis-Robinson tests for the ordinal models. The proportional odds, adjacent-category, and constrained continuation-ratio models are particularly supported at ordinal level. Tests for the proportional odds assumptions in ordinal models are also possible with the Brant and the Likelihood-Ratio tests. Moreover, several summary measures of predictive strength (Pseudo R-squared), and some useful error metrics, including, the brier score, misclassification rate and logloss are also available for the binary, multinomial and ordinal models. Ugba, E. R. and Gertheiss, J. (2018) <http://www.statmod.org/workshops_archive_proceedings_2018.html>.

r-gencodymo2 1.0.4
Propagated dependencies: r-tidyr@1.3.1 r-rtracklayer@1.70.0 r-rcurl@1.98-1.17 r-progress@1.2.3 r-plotrix@3.8-13 r-iranges@2.44.0 r-genomicranges@1.62.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-bsgenome@1.78.0 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/monahton/GencoDymo2
Licenses: GPL 3+
Build system: r
Synopsis: Comprehensive Analysis of 'GENCODE' Annotations and Splice Site Motifs
Description:

This package provides a comprehensive suite of helper functions designed to facilitate the analysis of genomic annotations from the GENCODE database <https://www.gencodegenes.org/>, supporting both human and mouse genomes. This toolkit enables users to extract, filter, and analyze a wide range of annotation features including genes, transcripts, exons, and introns across different GENCODE releases. It provides functionality for cross-version comparisons, allowing researchers to systematically track annotation updates, structural changes, and feature-level differences between releases. In addition, the package can generate high-quality FASTA files containing donor and acceptor splice site motifs, which are formatted for direct input into the MaxEntScan tool (Yeo and Burge, 2004 <doi:10.1089/1066527041410418>), enabling accurate calculation of splice site strength scores.

r-gtrendshealth 1.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/CDCgov/gtrendshealth
Licenses: Expat
Build system: r
Synopsis: Query the 'Google Trends for Health' API
Description:

Connects to the Google Trends for Health API hosted at <https://trends.google.com/trends/>, allowing projects authorized to use the health research data to query Google Trends'.

r-geomap 2.5-11
Propagated dependencies: r-sf@1.0-23 r-rpmg@2.2-7 r-mba@0.1-2 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GEOmap
Licenses: GPL 2+
Build system: r
Synopsis: Topographic and Geologic Mapping
Description:

Set of routines for making map projections (forward and inverse), topographic maps, perspective plots, geological maps, geological map symbols, geological databases, interactive plotting and selection of focus regions.

r-ggtibble 1.0.2
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-knitr@1.50 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://humanpred.github.io/ggtibble/
Licenses: GPL 3+
Build system: r
Synopsis: Create Tibbles and Lists of 'ggplot' Figures for Reporting
Description:

Create tibbles and lists of ggplot figures that can be modified as easily as regular ggplot figures. Typical use cases are for creating reports or web pages where many figures are needed with different data and similar formatting.

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