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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:

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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-gwasrapidd 0.99.18
Propagated dependencies: r-writexl@1.5.4 r-urltools@1.7.3.1 r-tidyr@1.3.2 r-tibble@3.3.1 r-testthat@3.3.2 r-stringr@1.6.0 r-rlang@1.2.0 r-purrr@1.2.2 r-progress@1.2.3 r-plyr@1.8.9 r-pingr@2.0.5 r-magrittr@2.0.5 r-lubridate@1.9.5 r-jsonlite@2.0.0 r-httr@1.4.8 r-glue@1.8.1 r-dplyr@1.2.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ramiromagno/gwasrapidd
Licenses: Expat
Build system: r
Synopsis: 'REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog
Description:

GWAS R API Data Download. This package provides easy access to the NHGRI'-'EBI GWAS Catalog data by accessing the REST API <https://www.ebi.ac.uk/gwas/rest/docs/api/>.

r-granovagg 1.4.1
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-rcolorbrewer@1.1-3 r-magrittr@2.0.5 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/briandk/granovaGG
Licenses: Expat
Build system: r
Synopsis: Graphical Analysis of Variance Using ggplot2
Description:

Create what we call Elemental Graphics for display of anova results. The term elemental derives from the fact that each function is aimed at construction of graphical displays that afford direct visualizations of data with respect to the fundamental questions that drive the particular anova methods. This package represents a modification of the original granova package; the key change is to use ggplot2', Hadley Wickham's package based on Grammar of Graphics concepts (due to Wilkinson). The main function is granovagg.1w() (a graphic for one way ANOVA); two other functions (granovagg.ds() and granovagg.contr()) are to construct graphics for dependent sample analyses and contrast-based analyses respectively. (The function granova.2w(), which entails dynamic displays of data, is not currently part of granovaGG'.) The granovaGG functions are to display data for any number of groups, regardless of their sizes (however, very large data sets or numbers of groups can be problematic). For granovagg.1w() a specialized approach is used to construct data-based contrast vectors for which anova data are displayed. The result is that the graphics use a straight line to facilitate clear interpretations while being faithful to the standard effect test in anova. The graphic results are complementary to standard summary tables; indeed, numerical summary statistics are provided as side effects of the graphic constructions. granovagg.ds() and granovagg.contr() provide graphic displays and numerical outputs for a dependent sample and contrast-based analyses. The graphics based on these functions can be especially helpful for learning how the respective methods work to answer the basic question(s) that drive the analyses. This means they can be particularly helpful for students and non-statistician analysts. But these methods can be of assistance for work-a-day applications of many kinds, as they can help to identify outliers, clusters or patterns, as well as highlight the role of non-linear transformations of data. In the case of granovagg.1w() and granovagg.ds() several arguments are provided to facilitate flexibility in the construction of graphics that accommodate diverse features of data, according to their corresponding display requirements. See the help files for individual functions.

r-graph3d 0.2.0
Propagated dependencies: r-lazyeval@0.2.3 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/stla/graph3d
Licenses: GPL 3
Build system: r
Synopsis: Wrapper of the JavaScript Library 'vis-graph3d'
Description:

Create interactive visualization charts to draw data in three dimensional graphs. The graphs can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio Viewer. Based on the vis.js Graph3d module and the htmlwidgets R package.

r-gglm 1.0.5
Propagated dependencies: r-vctrs@0.7.3 r-rlang@1.2.0 r-patchwork@1.3.2 r-ggplot2@4.0.3 r-broom-mixed@0.2.9.7 r-broom@1.0.13
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/graysonwhite/gglm
Licenses: CC0
Build system: r
Synopsis: Grammar of Graphics for Linear Model Diagnostic Plots
Description:

Allows for easy creation of diagnostic plots for a variety of model objects using the Grammar of Graphics. Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.

r-glme 0.1.0
Propagated dependencies: r-reshape@0.8.10 r-nlme@3.1-169 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=glme
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Linear Mixed Effects Models
Description:

This package provides Generalized Inferences based on exact distributions and exact probability statements for mixed effect models, provided by such papers as Weerahandi and Yu (2020) <doi:10.1186/s40488-020-00105-w> under the widely used Compound Symmetric Covariance structure. The package returns the estimation of the coefficients in random and fixed part of the mixed models by generalized inference.

r-genderstat 0.1.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=genderstat
Licenses: Expat
Build system: r
Synopsis: Quantitative Analysis Tools for Gender Studies
Description:

This package provides tools for quantitative analysis in gender studies, including functions to calculate various gender inequality metrics such as the Gender Pay Gap, Gender Inequality Index (GII), Gender Development Index (GDI), and Gender Empowerment Measure (GEM). Also includes extracted secondary example datasets for practice and learning purposes, which were obtained from the UNDP Human Development Reports Data Center and the World Bank Gender Data Portal by the author the dataset is available on <doi:10.34740/kaggle/dsv/6359326>. References: Miller, Kevin; Vagins, Deborah J. (2021) <https://eric.ed.gov/?id=ED596219>. Jacques Charmes & Saskia Wieringa (2003) <doi:10.1080/1464988032000125773>. Gaëlle Ferrant (2010) <https://shs.hal.science/halshs-00462463/>.

r-ggetho 0.3.7
Propagated dependencies: r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.2.0 r-labeling@0.4.3 r-ggplot2@4.0.3 r-data-table@1.18.4 r-cli@3.6.6 r-behavr@0.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/rethomics/ggetho
Licenses: GPL 3
Build system: r
Synopsis: Visualisation of High-Throughput Behavioural (i.e. Ethomics) Data
Description:

Extension of ggplot2 providing layers, scales and preprocessing functions useful to represent behavioural variables that are recorded over multiple animals and days. This package is part of the rethomics framework <https://rethomics.github.io/>.

r-galamm 0.4.0
Propagated dependencies: r-reformulas@0.4.4 r-rdpack@2.6.6 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1 r-nlme@3.1-169 r-mgcv@1.9-4 r-memoise@2.0.1 r-matrix@1.7-5 r-lme4@2.0-1 r-lattice@0.22-9 r-gratia@0.11.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/LCBC-UiO/galamm
Licenses: GPL 3+
Build system: r
Synopsis: Generalized Additive Latent and Mixed Models
Description:

Estimates generalized additive latent and mixed models using maximum marginal likelihood, as defined in Sorensen et al. (2023) <doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh and Skrondal (2004)'s unifying framework for multilevel latent variable modeling <doi:10.1007/BF02295939>. Efficient computation is done using sparse matrix methods, Laplace approximation, and automatic differentiation. The framework includes generalized multilevel models with heteroscedastic residuals, mixed response types, factor loadings, smoothing splines, crossed random effects, and combinations thereof. Syntax for model formulation is close to lme4 (Bates et al. (2015) <doi:10.18637/jss.v067.i01>) and PLmixed (Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>).

r-groqr 0.0.3
Propagated dependencies: r-shinywidgets@0.9.1 r-shiny@1.13.0 r-rstudioapi@0.18.0 r-miniui@0.1.2 r-jsonlite@2.0.0 r-httr@1.4.8 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/GabrielKaiserQFin/groqR
Licenses: GPL 3+
Build system: r
Synopsis: Coding Assistant using the Fast AI Inference 'Groq'
Description:

This package provides a comprehensive suite of functions and RStudio Add-ins leveraging the capabilities of open-source Large Language Models (LLMs) to support R developers. These functions offer a range of utilities, including text rewriting, translation, and general query capabilities. Additionally, the programming-focused functions provide assistance with debugging, translating, commenting, documenting, and unit testing code, as well as suggesting variable and function names, thereby streamlining the development process.

r-ggmncv 2.1.2
Propagated dependencies: r-sna@2.8 r-reshape@0.8.10 r-rdpack@2.6.6 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-pbapply@1.7-4 r-numderiv@2016.8-1.1 r-network@1.20.0 r-mathjaxr@2.0-0 r-mass@7.3-65 r-glassofast@1.0.1 r-ggplot2@4.0.3 r-ggally@2.4.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GGMncv
Licenses: GPL 2
Build system: r
Synopsis: Gaussian Graphical Models with Nonconvex Regularization
Description:

Estimate Gaussian graphical models with nonconvex penalties, including methods described by Williams (2020) <doi:10.31234/osf.io/ad57p>. Penalties include atan (Wang and Zhu, 2016) <doi:10.1155/2016/6495417>, seamless L0 (Dicker, Huang and Lin, 2013) <doi:10.5705/ss.2011.074>, exponential (Wang, Fan and Zhu, 2018) <doi:10.1007/s10463-016-0588-3>, smooth integration of counting and absolute deviation (Lv and Fan, 2009) <doi:10.1214/09-AOS683>, logarithm (Mazumder, Friedman and Hastie, 2011) <doi:10.1198/jasa.2011.tm09738>, Lq, smoothly clipped absolute deviation (Fan and Li, 2001) <doi:10.1198/016214501753382273>, and minimax concave penalty (Zhang, 2010) <doi:10.1214/09-AOS729>. The package also provides extensions for variable inclusion probabilities, multiple regression coefficients, and statistical inference (Janková and van de Geer, 2015) <doi:10.1214/15-EJS1031>.

r-gcmr 1.0.4
Propagated dependencies: r-sp@2.2-1 r-sandwich@3.1-1 r-nlme@3.1-169 r-lmtest@0.9-40 r-formula@1.2-5 r-car@3.1-5 r-betareg@3.2-4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gcmr
Licenses: GPL 2+
Build system: r
Synopsis: Gaussian Copula Marginal Regression
Description:

Likelihood inference in Gaussian copula marginal regression models.

r-gratis 1.0.8
Propagated dependencies: r-tsibble@1.2.0 r-tsfeatures@1.1.1 r-tibble@3.3.1 r-shiny@1.13.0 r-purrr@1.2.2 r-polynom@1.4-1 r-mvtnorm@1.3-7 r-magrittr@2.0.5 r-generics@0.1.4 r-ga@3.2.5 r-forecast@9.0.2 r-foreach@1.5.2 r-fgarch@4052.93 r-feasts@0.5.0 r-dplyr@1.2.1 r-dorng@1.8.6.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ykang/gratis
Licenses: GPL 3
Build system: r
Synopsis: Generating Time Series with Diverse and Controllable Characteristics
Description:

Generates synthetic time series based on various univariate time series models including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.

r-giraf 1.0.2
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-bh@1.90.0-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GiRaF
Licenses: GPL 2+
Build system: r
Synopsis: Gibbs Random Fields Analysis
Description:

Allows calculation on, and sampling from Gibbs Random Fields, and more precisely general homogeneous Potts model. The primary tool is the exact computation of the intractable normalising constant for small rectangular lattices. Beside the latter function, it contains method that give exact sample from the likelihood for small enough rectangular lattices or approximate sample from the likelihood using MCMC samplers for large lattices.

r-gad 2.0
Propagated dependencies: r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GAD
Licenses: GPL 3+
Build system: r
Synopsis: Analysis of Variance from General Principles
Description:

Analysis of complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and a posteriori comparisons of means are done using Student-Newman-Keuls (SNK) procedure. For those terms with no denominator in the F-ratio calculation, pooled mean squares and quasi F-ratios are provided. Magnitute of effects are assessed by components of variation.

r-getfredata 1.0.1
Propagated dependencies: r-xml2@1.5.2 r-xml@3.99-0.23 r-stringr@1.6.0 r-rvest@1.0.5 r-readr@2.2.0 r-purrr@1.2.2 r-magrittr@2.0.5 r-lubridate@1.9.5 r-lifecycle@1.0.5 r-janitor@2.2.1 r-glue@1.8.1 r-getdfpdata2@0.6.5 r-fs@2.1.0 r-dplyr@1.2.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/msperlin/GetFREData/
Licenses: GPL 2
Build system: r
Synopsis: Reading FRE Corporate Data of Public Traded Companies from B3
Description:

Reads corporate data such as board composition and compensation for companies traded at B3, the Brazilian exchange <https://www.b3.com.br/>. All data is downloaded and imported from the ftp site <https://dados.cvm.gov.br/dados/CIA_ABERTA/DOC/FRE/>.

r-ggkodom 1.0.3
Propagated dependencies: r-scales@1.4.0 r-rlang@1.2.0 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggkodom
Licenses: Expat
Build system: r
Synopsis: Visualize Individual Longitudinal Trajectories
Description:

This package provides a ggplot2'-based toolkit for visualizing individual-level longitudinal trajectories. Creates linear kodom plots, circular kodom plots, heatmaps, and state-ribbon charts for repeated-measures data. Each subject gets its own visual lane with measurements colored by value, revealing patterns across subjects and time. The circular variant resembles the Kodom flower.

r-gginnards 0.2.0-2
Propagated dependencies: r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-magrittr@2.0.5 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://docs.r4photobiology.info/gginnards/
Licenses: GPL 2+
Build system: r
Synopsis: Explore the Innards of 'ggplot2' Objects
Description:

Extensions to ggplot2 providing low-level debug tools: statistics and geometries echoing their data argument. Layer manipulation: deletion, insertion, extraction and reordering of layers. Deletion of unused variables from the data object embedded in "ggplot" objects.

r-ggskewboxplots 1.0.0
Propagated dependencies: r-tidyr@1.3.2 r-rlang@1.2.0 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggskewboxplots
Licenses: GPL 3+
Build system: r
Synopsis: Skew Boxplot Geoms for 'ggplot2'
Description:

This package provides ggplot2 extensions for creating skewed boxplots using several statistical methods (Kimber, 1990 <doi:10.2307/2347808>; Hubert and Vandervieren, 2008 <doi:10.1016/j.csda.2007.11.008>; Adil et al., 2015 <doi:10.18187/pjsor.v11i1.500>; Babura et al., 2017 <doi:10.1063/1.4982872>; Walker et al., 2018 <doi:10.1080/00031305.2018.1448891>). The package implements custom statistical transformations and geometries to visualize data distributions with an emphasis on skewness.

r-gmotree 1.4.1
Propagated dependencies: r-stringr@1.6.0 r-rmarkdown@2.31 r-rlist@0.4.6.2 r-rlang@1.2.0 r-plyr@1.8.9 r-pander@0.6.6 r-openxlsx@4.2.8.1 r-lifecycle@1.0.5 r-knitr@1.51 r-dplyr@1.2.1 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://zauchnerp.github.io/gmoTree/
Licenses: GPL 3+
Build system: r
Synopsis: Get and Modify 'oTree' Data
Description:

Efficiently manage and process data from oTree experiments. Import oTree data and clean them by using functions that handle messy data, dropouts, and other problematic cases. Create IDs, calculate the time, transfer variables between app data frames, and delete sensitive information. Review your experimental data prior to running the experiment and automatically generate a detailed summary of the variables used in your oTree code. Information on oTree is found in Chen, D. L., Schonger, M., & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.

r-ggdibbler 0.6.5
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-sf@1.1-1 r-scales@1.4.0 r-rlang@1.2.0 r-lifecycle@1.0.5 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-distributional@0.7.0 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://harriet-mason.github.io/ggdibbler/
Licenses: GPL 3
Build system: r
Synopsis: Add Uncertainty to Data Visualisations
Description:

This package provides a ggplot2 extension for visualising uncertainty with the goal of signal suppression. Usually, uncertainty visualisation focuses on expressing uncertainty as a distribution or probability, whereas ggdibbler differentiates itself by viewing an uncertainty visualisation as an adjustment to an existing graphic that incorporates the inherent uncertainty in the estimates. You provide the code for an existing plot, but replace any of the variables with a vector of distributions, and it will convert the visualisation into it's signal suppression counterpart.

r-gdxdt 0.1.0
Propagated dependencies: r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gdxdt
Licenses: FSDG-compatible
Build system: r
Synopsis: IO for GAMS GDX Files using 'data.table'
Description:

Interfaces GAMS data (*.gdx) files with data.table's using the GAMS R package gdxrrw'. The gdxrrw package is available on the GAMS wiki: <https://support.gams.com/doku.php?id=gdxrrw:interfacing_gams_and_r>.

r-gdatools 2.3
Propagated dependencies: r-rlang@1.2.0 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-factominer@2.14 r-descriptio@1.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://framagit.org/nicolas-robette/GDAtools
Licenses: GPL 2+
Build system: r
Synopsis: Geometric Data Analysis
Description:

Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).

r-gitlabr 2.1.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-purrr@1.2.2 r-magrittr@2.0.5 r-httr@1.4.8 r-dplyr@1.2.1 r-base64enc@0.1-6 r-arpr@0.1.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://thinkr-open.github.io/gitlabr/
Licenses: GPL 3+
Build system: r
Synopsis: Access to the 'GitLab' API
Description:

This package provides R functions to access the API of the project and repository management web application GitLab'. For many common tasks (repository file access, issue assignment and status, commenting) convenience wrappers are provided, and in addition the full API can be used by specifying request locations. GitLab is open-source software and can be self-hosted or used on <https://about.gitlab.com>.

r-geniebpc 2.2.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-sunburstr@2.1.8 r-stringr@1.6.0 r-rlang@1.2.0 r-purrr@1.2.2 r-jsonlite@2.0.0 r-httr@1.4.8 r-dtplyr@1.3.3 r-dplyr@1.2.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://genie-bpc.github.io/genieBPC/
Licenses: Expat
Build system: r
Synopsis: Project GENIE BioPharma Collaborative Data Processing Pipeline
Description:

The American Association Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) BioPharma Collaborative represents a multi-year, multi-institution effort to build a pan-cancer repository of linked clinico-genomic data. The genomic and clinical data are provided in multiple releases (separate releases for each cancer cohort with updates following data corrections), which are stored on the data sharing platform Synapse <https://www.synapse.org/>. The genieBPC package provides a seamless way to obtain the data corresponding to each release from Synapse and to prepare datasets for analysis.

Total packages: 72693