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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-gsda 1.0
Propagated dependencies: r-msigdbr@25.1.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GSDA
Licenses: GPL 2+
Build system: r
Synopsis: Gene Set Distance Analysis (GSDA)
Description:

The gene-set distance analysis of omic data is implemented by generalizing distance correlations to evaluate the association of a gene set with categorical and censored event-time variables.

r-gsympoint 1.1.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GsymPoint
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Estimation of the Generalized Symmetry Point, an Optimal Cutpoint in Continuous Diagnostic Tests
Description:

Estimation of the cutpoint defined by the Generalized Symmetry point in a binary classification setting based on a continuous diagnostic test or marker. Two methods have been implemented to construct confidence intervals for this optimal cutpoint, one based on the Generalized Pivotal Quantity and the other based on Empirical Likelihood. Numerical and graphical outputs for these two methods are easily obtained.

r-gensurv 1.0.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/arturstat/genSurv
Licenses: GPL 3
Build system: r
Synopsis: Generating Multi-State Survival Data
Description:

Generation of survival data with one (binary) time-dependent covariate. Generation of survival data arising from a progressive illness-death model.

r-geozoo 0.5.1
Propagated dependencies: r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: http://schloerke.github.io/geozoo/
Licenses: GPL 2
Build system: r
Synopsis: Zoo of Geometric Objects
Description:

Geometric objects defined in geozoo can be simulated or displayed in the R package tourr'.

r-gmdatabase 0.5.1
Propagated dependencies: r-shiny@1.11.1 r-rmysql@0.11.1 r-foreach@1.5.2 r-digest@0.6.39 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gmDatabase
Licenses: GPL 2+ LGPL 2.0+
Build system: r
Synopsis: Accessing a Geometallurgical Database with R
Description:

This package provides a template for a geometallurgical database and a fast and easy interface for accessing it.

r-geocacher 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geocacheR
Licenses: GPL 3
Build system: r
Synopsis: Tools for Geocaching
Description:

This package provides tools for solving common geocaching puzzle types, and other Geocaching-related tasks.

r-gwlelast 1.2.2
Propagated dependencies: r-spgwr@0.6-37 r-sp@2.2-0 r-glmnet@4.1-10 r-geosphere@1.5-20 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GWLelast
Licenses: Expat
Build system: r
Synopsis: Geographically Weighted Logistic Elastic Net Regression
Description:

Fit a geographically weighted logistic elastic net regression. Detailed explanations can be found in Yoneoka et al. (2016): New algorithm for constructing area-based index with geographical heterogeneities and variable selection: An application to gastric cancer screening <doi:10.1038/srep26582>.

r-ggwidth 0.1.0
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/davidhodge931/ggwidth
Licenses: Expat
Build system: r
Synopsis: Standardise 'ggplot2' Geom Width
Description:

Standardise the width in ggplot2 geoms to appear visually consistent across plots with different numbers of categories, panel dimensions, and orientations.

r-ggpointless 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://flrd.github.io/ggpointless/
Licenses: Expat
Build system: r
Synopsis: Additional Geometries and Stats for 'ggplot2'
Description:

An (aspirational) collection of additional geometries and statistics for ggplot2'.

r-grbase 2.0.3
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-ggimage 0.3.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/YuLab-SMU/ggimage
Licenses: Artistic License 2.0
Build system: r
Synopsis: Use Image in 'ggplot2'
Description:

Supports image files and graphic objects to be visualized in ggplot2 graphic system.

r-geecure 1.0-6
Propagated dependencies: r-survival@3.8-3 r-matrix@1.7-4 r-mass@7.3-65 r-geepack@1.3.13
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geecure
Licenses: GPL 2+
Build system: r
Synopsis: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations
Description:

Features the marginal parametric and semi-parametric proportional hazards mixture cure models for analyzing clustered survival data with a possible cure fraction. A reference is Yi Niu and Yingwei Peng (2014) <doi:10.1016/j.jmva.2013.09.003>.

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-gerefer 0.1.3
Propagated dependencies: r-bibliorefer@0.1.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gerefer
Licenses: GPL 3
Build system: r
Synopsis: Preparer of Main Scientific References for Automatic Insertion in Academic Papers
Description:

Generates a file, containing the main scientific references, prepared to be automatically inserted into an academic paper. The articles present in the list are chosen from the main references generated, by function principal_lister(), of the package bibliorefer'. The generated file contains the list of metadata of the principal references in BibTex format. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>. Hamid DerviÅ . (2019) <doi:10.5530/jscires.8.3.32>.

r-geodiv 1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/bioXgeo/geodiv
Licenses: Expat
Build system: r
Synopsis: Methods for Calculating Gradient Surface Metrics
Description:

This package provides methods for calculating gradient surface metrics for continuous analysis of landscape features.

r-gapmap 1.0.0
Propagated dependencies: r-reshape2@1.4.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/evanbiederstedt/gapmap
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Drawing Gapped Cluster Heatmaps with 'ggplot2'
Description:

The gap encodes the distance between clusters and improves interpretation of cluster heatmaps. The gaps can be of the same distance based on a height threshold to cut the dendrogram. Another option is to vary the size of gaps based on the distance between clusters.

r-ggragged 0.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/mikmart/ggragged
Licenses: Expat
Build system: r
Synopsis: Ragged Grids for 'ggplot2'
Description:

Extend ggplot2 facets to panel layouts arranged in a grid with ragged edges. facet_ragged_rows() groups panels into rows that can vary in length, facet_ragged_cols() does the same but for columns. These can be useful, for example, to represent nested or partially crossed relationships between faceting variables.

r-graphpaf 2.0.1
Propagated dependencies: r-survival@3.8-3 r-reshape2@1.4.5 r-mass@7.3-65 r-madness@0.2.8 r-gtools@3.9.5 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/johnfergusonNUIG/graphPAF
Licenses: Expat
Build system: r
Synopsis: Estimating and Displaying Population Attributable Fractions
Description:

Estimation and display of various types of population attributable fraction and impact fractions. As well as the usual calculations of attributable fractions and impact fractions, functions are provided for attributable fraction nomograms and fan plots, continuous exposures, for pathway specific population attributable fractions, and for joint, average and sequential population attributable fractions.

r-getquandldata 1.0.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/msperlin/GetQuandlData/
Licenses: GPL 2
Build system: r
Synopsis: Fast and Cached Import of Data from 'Quandl' Using the 'json API'
Description:

Imports time series data from the Quandl database <https://data.nasdaq.com/>. The package uses the json api at <https://data.nasdaq.com/search>, local caching ('memoise package) and the tidy format by default. Also allows queries of databases, allowing the user to see which time series are available for each database id. In short, it is an alternative to package Quandl', with faster data importation in the tidy/long format.

r-geodadata 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/spatialanalysis/geodaData
Licenses: CC0
Build system: r
Synopsis: Spatial Analysis Datasets for Teaching
Description:

Stores small spatial datasets used to teach basic spatial analysis concepts. Datasets are based off of the GeoDa software workbook and data site <https://geodacenter.github.io/data-and-lab/> developed by Luc Anselin and team at the University of Chicago. Datasets are stored as sf objects.

r-gam-hp 0.0-5
Propagated dependencies: r-mgcv@1.9-4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/laijiangshan/gam.hp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models
Description:

Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of gam() and bam() in mgcv package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.

r-gkrls 1.0.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/mgoplerud/gKRLS
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Kernel Regularized Least Squares
Description:

Kernel regularized least squares, also known as kernel ridge regression, is a flexible machine learning method. This package implements this method by providing a smooth term for use with mgcv and uses random sketching to facilitate scalable estimation on large datasets. It provides additional functions for calculating marginal effects after estimation and for use with ensembles ('SuperLearning'), double/debiased machine learning ('DoubleML'), and robust/clustered standard errors ('sandwich'). Chang and Goplerud (2024) <doi:10.1017/pan.2023.27> provide further details.

r-glvmfit 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=glvmfit
Licenses: GPL 3
Build system: r
Synopsis: Methods to Assess Generalized Latent Variable Model Fit
Description:

This package provides residual global fit indices for generalized latent variable models.

r-gtexture 1.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://rbarkerclarke.github.io/gtexture/
Licenses: Expat
Build system: r
Synopsis: Generalized Application of Co-Occurrence Matrices and Haralick Texture
Description:

Generalizes application of gray-level co-occurrence matrix (GLCM) metrics to objects outside of images. The current focus is to apply GLCM metrics to the study of biological networks and fitness landscapes that are used in studying evolutionary medicine and biology, particularly the evolution of cancer resistance. The package was developed as part of the author's publication in Physics in Medicine and Biology Barker-Clarke et al. (2023) <doi:10.1088/1361-6560/ace305>. A general reference to learn more about mathematical oncology can be found at Rockne et al. (2019) <doi:10.1088/1478-3975/ab1a09>.

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Total results: 69112