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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-gsdesign2 1.1.7
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-rcpp@1.1.0 r-r2rtf@1.3.0 r-npsurvss@1.1.0 r-mvtnorm@1.3-3 r-gt@1.3.0 r-gsdesign@3.8.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://merck.github.io/gsDesign2/
Licenses: GPL 3
Build system: r
Synopsis: Group Sequential Design with Non-Constant Effect
Description:

The goal of gsDesign2 is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, gsDesign2 offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the gsDesign package is intended for selecting boundaries.

r-ggmuller 0.7.0
Propagated dependencies: r-rlang@1.1.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/robjohnnoble/ggmuller
Licenses: Expat
Build system: r
Synopsis: Create Muller Plots of Evolutionary Dynamics
Description:

Create plots that combine a phylogeny and frequency dynamics. Phylogenetic input can be a generic adjacency matrix or a tree of class "phylo". Inspired by similar plots in publications of the labs of RE Lenski and JE Barrick. Named for HJ Muller (who popularised such plots) and H Wickham (whose code this package exploits).

r-gpgp 1.0.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-fnn@1.1.4.1 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=GpGp
Licenses: Expat
Build system: r
Synopsis: Fast Gaussian Process Computation Using Vecchia's Approximation
Description:

This package provides functions for fitting and doing predictions with Gaussian process models using Vecchia's (1988) approximation. Package also includes functions for reordering input locations, finding ordered nearest neighbors (with help from FNN package), grouping operations, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) <http://www.jstor.org/stable/2345768>, and the reordering and grouping methods are from Guinness (2018) <doi:10.1080/00401706.2018.1437476>. Model fitting employs a Fisher scoring algorithm described in Guinness (2019) <doi:10.48550/arXiv.1905.08374>.

r-gbop2 0.1.4
Propagated dependencies: r-tidyr@1.3.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r6@2.6.1 r-globpso@1.3.1 r-foreach@1.5.2 r-dplyr@1.1.4 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=GBOP2
Licenses: GPL 2
Build system: r
Synopsis: Generalized Bayesian Optimal Phase II Design (G-BOP2)
Description:

This package provides functions for implementing the Generalized Bayesian Optimal Phase II (G-BOP2) design using various Particle Swarm Optimization (PSO) algorithms, including: - PSO-Default, based on Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>, "Particle Swarm Optimization"; - PSO-Quantum, based on Sun, Xu, and Feng (2004) <doi:10.1109/ICCIS.2004.1460396>, "A Global Search Strategy of Quantum-Behaved Particle Swarm Optimization"; - PSO-Dexp, based on Stehlà k et al. (2024) <doi:10.1016/j.asoc.2024.111913>, "A Double Exponential Particle Swarm Optimization with Non-Uniform Variates as Stochastic Tuning and Guaranteed Convergence to a Global Optimum with Sample Applications to Finding Optimal Exact Designs in Biostatistics"; - and PSO-GO.

r-gitear 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rcpp@1.1.0 r-mockery@0.4.5 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://ixpantia.github.io/gitear/
Licenses: GPL 3
Build system: r
Synopsis: Client to the 'gitea' API
Description:

Gitea is a community managed, lightweight code hosting solution were projects and their respective git repositories can be managed <https://gitea.io>. This package gives an interface to the Gitea API to access and manage repositories, issues and organizations directly in R.

r-geomerge 0.3.4
Propagated dependencies: r-terra@1.8-86 r-spdep@1.4-1 r-sp@2.2-0 r-sf@1.0-23 r-scales@1.4.0 r-raster@3.6-32 r-lubridate@1.9.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geomerge
Licenses: LGPL 3
Build system: r
Synopsis: Geospatial Data Integration
Description:

Geospatial data integration framework that merges raster, spatial polygon, and (dynamic) spatial points data into a spatial (panel) data frame at any geographical resolution.

r-gdpuc 1.6.1
Propagated dependencies: r-withr@3.0.2 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-glue@1.8.0 r-dplyr@1.1.4 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/pik-piam/GDPuc
Licenses: GPL 3+
Build system: r
Synopsis: Easily Convert GDP Data
Description:

Convert GDP time series data from one unit to another. All common GDP units are included, i.e. current and constant local currency units, US$ via market exchange rates and international dollars via purchasing power parities.

r-gogarch 0.7-6
Propagated dependencies: r-fgarch@4052.93 r-fastica@1.2-7
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gogarch
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Orthogonal GARCH (GO-GARCH) Models
Description:

Provision of classes and methods for estimating generalized orthogonal GARCH models. This is an alternative approach to CC-GARCH models in the context of multivariate volatility modeling.

r-ggebiplots 0.1.3
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1 r-ggforce@0.5.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GGEBiplots
Licenses: GPL 3
Build system: r
Synopsis: GGE Biplots with 'ggplot2'
Description:

Genotype plus genotype-by-environment (GGE) biplots rendered using ggplot2'. Provides a command line interface to all of the functionality contained within the archived package GGEBiplotGUI'.

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-geocmeans 0.3.4
Propagated dependencies: r-tmap@4.2 r-terra@1.8-86 r-spdep@1.4-1 r-shiny@1.11.1 r-sf@1.0-23 r-reshape2@1.4.5 r-reldist@1.7-2 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progressr@0.18.0 r-plotly@4.11.0 r-matrixstats@1.5.0 r-leaflet@2.2.3 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-fmsb@0.7.6 r-fclust@2.1.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/JeremyGelb/geocmeans
Licenses: GPL 2
Build system: r
Synopsis: Implementing Methods for Spatial Fuzzy Unsupervised Classification
Description:

This package provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. In addition, indexes for estimating the spatial consistency and classification quality are proposed. The methods were originally proposed in the field of brain imagery (seed Cai and al. 2007 <doi:10.1016/j.patcog.2006.07.011> and Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently applied in geography (see Gelb and Apparicio <doi:10.4000/cybergeo.36414>).

r-geoprofiler 0.0.3
Propagated dependencies: r-units@1.0-0 r-terra@1.8-86 r-tectonicr@0.4.8 r-sf@1.0-23 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://tobiste.github.io/geoprofiler/
Licenses: GPL 3+
Build system: r
Synopsis: Perpendicular Line Transects for Geosciences
Description:

Toolset to create perpendicular profile graphs and swath profiles. Method are based on coordinate rotation algorithm by Schaeben et al. (2024) <doi:10.1002/mma.9823>.

r-gdm 1.6.0-7
Propagated dependencies: r-vegan@2.7-2 r-reshape2@1.4.5 r-rcpp@1.1.0 r-pbapply@1.7-4 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://mfitzpatrick.al.umces.edu/gdm/
Licenses: GPL 3+
Build system: r
Synopsis: Generalized Dissimilarity Modeling
Description:

This package provides a toolkit with functions to fit, plot, summarize, and apply Generalized Dissimilarity Models. Mokany K, Ware C, Woolley SNC, Ferrier S, Fitzpatrick MC (2022) <doi:10.1111/geb.13459> Ferrier S, Manion G, Elith J, Richardson K (2007) <doi:10.1111/j.1472-4642.2007.00341.x>.

r-ggplate 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-ggplot2@4.0.1 r-forcats@1.0.1 r-farver@2.1.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jpquast/ggplate
Licenses: Expat
Build system: r
Synopsis: Create Layout Plots of Biological Culture Plates and Microplates
Description:

Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.

r-gdistance 1.6.5
Propagated dependencies: r-terra@1.8-86 r-sp@2.2-0 r-raster@3.6-32 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://AgrDataSci.github.io/gdistance/
Licenses: GPL 2+
Build system: r
Synopsis: Distances and Routes on Geographical Grids
Description:

This package provides classes and functions to calculate various distance measures and routes in heterogeneous geographic spaces represented as grids. The package implements measures to model dispersal histories first presented by van Etten and Hijmans (2010) <doi:10.1371/journal.pone.0012060>. Least-cost distances as well as more complex distances based on (constrained) random walks can be calculated. The distances implemented in the package are used in geographical genetics, accessibility indicators, and may also have applications in other fields of geospatial analysis.

r-geomorph 4.0.10
Propagated dependencies: r-rrpp@2.1.2 r-rgl@1.3.31 r-matrix@1.7-4 r-jpeg@0.1-11 r-ggplot2@4.0.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/geomorphR/geomorph
Licenses: GPL 3+
Build system: r
Synopsis: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description:

Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.

r-ghyp 1.6.5
Propagated dependencies: r-numderiv@2016.8-1.1 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=ghyp
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Hyperbolic Distribution and Its Special Cases
Description:

Detailed functionality for working with the univariate and multivariate Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student-t and Gaussian distribution). Especially, it contains fitting procedures, an AIC-based model selection routine, and functions for the computation of density, quantile, probability, random variates, expected shortfall and some portfolio optimization and plotting routines as well as the likelihood ratio test. In addition, it contains the Generalized Inverse Gaussian distribution. See Chapter 3 of A. J. McNeil, R. Frey, and P. Embrechts. Quantitative risk management: Concepts, techniques and tools. Princeton University Press, Princeton (2005).

r-godley 0.2.2
Propagated dependencies: r-visnetwork@2.1.4 r-vecsets@1.4 r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rootsolve@1.8.2.4 r-rlang@1.1.6 r-purrr@1.2.0 r-plotly@4.11.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-igraph@2.2.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://gamrot.github.io/godley/
Licenses: GPL 3+
Build system: r
Synopsis: Stock-Flow-Consistent Model Simulator
Description:

Define, simulate, and validate stock-flow consistent (SFC) macroeconomic models. The godley R package offers tools to dynamically define model structures by adding variables and specifying governing systems of equations. With it, users can analyze how different macroeconomic structures affect key variables, perform parameter sensitivity analyses, introduce policy shocks, and visualize resulting economic scenarios. The accounting structure of SFC models follows the approach outlined in the seminal study by Godley and Lavoie (2007, ISBN:978-1-137-08599-3), ensuring a comprehensive integration of all economic flows and stocks. The algorithms implemented to solve the models are based on methodologies from Kinsella and O'Shea (2010) <doi:10.2139/ssrn.1729205>, Peressini and Sullivan (1988, ISBN:0-387-96614-5), and contributions by Joao Macalos.

r-geneacore 1.1.2
Propagated dependencies: r-signal@1.8-1 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GENEAcore
Licenses: GPL 2+
Build system: r
Synopsis: Pre-Processing of 'GENEActiv' Data
Description:

Analytics to read in and segment raw GENEActiv accelerometer data into epochs and events. For more details on the GENEActiv device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.

r-glrth 0.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gLRTH
Licenses: GPL 3
Build system: r
Synopsis: Genome-Wide Association and Linkage Analysis under Heterogeneity
Description:

Likelihood ratio tests for genome-wide association and genome-wide linkage analysis under heterogeneity.

r-graphsim 1.0.4
Propagated dependencies: r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-igraph@2.2.1 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/TomKellyGenetics/graphsim/
Licenses: GPL 3
Build system: r
Synopsis: Simulate Expression Data from 'igraph' Networks
Description:

This package provides functions to develop simulated continuous data (e.g., gene expression) from a sigma covariance matrix derived from a graph structure in igraph objects. Intended to extend mvtnorm to take igraph structures rather than sigma matrices as input. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. Here we present a versatile statistical framework to simulate correlated gene expression data from biological pathways, by sampling from a multivariate normal distribution derived from a graph structure. This package allows the simulation of biological pathways from a graph structure based on a statistical model of gene expression. For example methods to infer biological pathways and gene regulatory networks from gene expression data can be tested on simulated datasets using this framework. This also allows for pathway structures to be considered as a confounding variable when simulating gene expression data to test the performance of genomic analyses.

r-genridge 0.8.0
Propagated dependencies: r-rgl@1.3.31 r-colorspace@2.1-2 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/friendly/genridge
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Ridge Trace Plots for Ridge Regression
Description:

The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias (actually, shrinkage) and precision, by plotting the covariance ellipsoids of the estimated coefficients, rather than just the estimates themselves. 2D and 3D plotting methods are provided, both in the space of the predictor variables and in the transformed space of the PCA/SVD of the predictors.

r-ggborderline 0.3.0
Propagated dependencies: r-vctrs@0.6.5 r-scales@1.4.0 r-rlang@1.1.6 r-ggplot2@4.0.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/wurli/ggborderline
Licenses: Expat
Build system: r
Synopsis: Line Plots that Pop
Description:

This package provides a set of geometries to make line plots a little bit nicer. Use along with ggplot2 to: - Improve the clarity of line plots with many overlapping lines - Draw more realistic worms.

r-ggsmc 0.2.0
Propagated dependencies: r-poorman@0.2.7 r-ggplot2@4.0.1 r-gganimate@1.0.11
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/richardgeveritt/ggsmc
Licenses: Expat
Build system: r
Synopsis: Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods
Description:

This package provides functions for plotting, and animating, the output of importance samplers, sequential Monte Carlo samplers (SMC) and ensemble-based methods. The package can be used to plot and animate histograms, densities, scatter plots and time series, and to plot the genealogy of an SMC or ensemble-based algorithm. These functions all rely on algorithm output to be supplied in tidy format. A function is provided to transform algorithm output from matrix format (one Monte Carlo point per row) to the tidy format required by the plotting and animating functions.

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