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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-gammi 0.2
Propagated dependencies: r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gammi
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Additive Mixed Model Interface
Description:

An interface for fitting generalized additive models (GAMs) and generalized additive mixed models (GAMMs) using the lme4 package as the computational engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports default and formula methods for model specification, additive and tensor product splines for capturing nonlinear effects, and automatic determination of spline type based on the class of each predictor. Includes an S3 plot method for visualizing the (nonlinear) model terms, an S3 predict method for forming predictions from a fit model, and an S3 summary method for conducting significance testing using the Bayesian interpretation of a smoothing spline.

r-geoperu 0.0.0.2
Propagated dependencies: r-sf@1.0-23 r-httr@1.4.7 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/PaulESantos/geoperu
Licenses: Expat
Build system: r
Synopsis: Download Spatial Datasets of Peru
Description:

This package provides convenient access to the official spatial datasets of Peru as sf objects in R. This package includes a wide range of geospatial data covering various aspects of Peruvian geography, such as: administrative divisions (Source: INEI <https://ide.inei.gob.pe/>), protected natural areas (Source: GEO ANP - SERNANP <https://geo.sernanp.gob.pe/visorsernanp/>). All datasets are harmonized in terms of attributes, projection, and topology, ensuring consistency and ease of use for spatial analysis and visualization.

r-gamlssbssn 0.1.0
Propagated dependencies: r-mass@7.3-65 r-gamlss-dist@6.1-1 r-gamlss@5.5-0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gamlssbssn
Licenses: GPL 2
Build system: r
Synopsis: Bimodal Skew Symmetric Normal Distribution
Description:

Density, distribution function, quantile function and random generation for the bimodal skew symmetric normal distribution of Hassan and El-Bassiouni (2016) <doi:10.1080/03610926.2014.882950>.

r-glcm 1.6.6
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/azvoleff/glcm
Licenses: GPL 3+
Build system: r
Synopsis: Calculate Textures from Grey-Level Co-Occurrence Matrices (GLCMs)
Description:

Enables calculation of image textures (Haralick 1973) <doi:10.1109/TSMC.1973.4309314> from grey-level co-occurrence matrices (GLCMs). Supports processing images that cannot fit in memory.

r-gldreg 1.1.2
Propagated dependencies: r-gldex@2.0.0.9.4 r-ddst@1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GLDreg
Licenses: GPL 3+
Build system: r
Synopsis: Fit GLD Regression/Quantile/AFT Model to Data
Description:

Owing to the rich shapes of Generalised Lambda Distributions (GLDs), GLD standard/quantile/Accelerated Failure Time (AFT) regression is a competitive flexible model compared to standard/quantile/AFT regression. The proposed method has some major advantages: 1) it provides a reference line which is very robust to outliers with the attractive property of zero mean residuals and 2) it gives a unified, elegant quantile regression model from the reference line with smooth regression coefficients across different quantiles. For AFT model, it also eliminates the needs to try several different AFT models, owing to the flexible shapes of GLD. The goodness of fit of the proposed model can be assessed via QQ plots and Kolmogorov-Smirnov tests and data driven smooth test, to ensure the appropriateness of the statistical inference under consideration. Statistical distributions of coefficients of the GLD regression line are obtained using simulation, and interval estimates are obtained directly from simulated data. References include the following: Su (2015) "Flexible Parametric Quantile Regression Model" <doi:10.1007/s11222-014-9457-1>, Su (2021) "Flexible parametric accelerated failure time model"<doi:10.1080/10543406.2021.1934854>.

r-grabsvg 0.0.2
Propagated dependencies: r-sparsematrixstats@1.22.0 r-spam@2.11-1 r-rann@2.6.2 r-matrix@1.7-4 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GrabSVG
Licenses: GPL 2+
Build system: r
Synopsis: Granularity-Based Spatially Variable Genes Identifications
Description:

Identifying spatially variable genes is critical in linking molecular cell functions with tissue phenotypes. This package implemented a granularity-based dimension-agnostic tool for the identification of spatially variable genes. The detailed description of this method is available at Wang, J. and Li, J. et al. 2023 (Wang, J. and Li, J. (2023), <doi:10.1038/s41467-023-43256-5>).

r-gghist 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/frederikziebell/gghist
Licenses: GPL 3+
Build system: r
Synopsis: Plot the Histogram of a Numeric Vector
Description:

Wrapper around geom_histogram() of ggplot2 to plot the histogram of a numeric vector. This is especially useful, since qplot() was deprecated in ggplot2 3.4.0.

r-gfunctions 1.1
Propagated dependencies: r-zoo@1.8-14 r-sandwich@3.1-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://www.sucarrat.net/
Licenses: GPL 2+
Build system: r
Synopsis: G-Functions
Description:

Modified versions of the lag() and summary() functions: glag() and gsummary(). The prefix g is a reminder of who to blame if things do not work as they should.

r-genetic-algo-optimizer 0.3.3
Propagated dependencies: r-tinytex@0.58 r-stringr@1.6.0 r-rsconnect@1.6.2 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-diagrammer@1.0.11 r-biocviews@1.78.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://danymukesha.github.io/genetic.algo.optimizeR/
Licenses: Expat
Build system: r
Synopsis: Genetic Algorithm Optimization
Description:

Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package is for learning purposes and allows users to optimize various functions or parameters by mimicking biological evolution processes such as selection, crossover, and mutation. Ideal for tasks like machine learning parameter tuning, mathematical function optimization, and solving an optimization problem that involves finding the best solution in a discrete space.

r-genemodel 1.1.0
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/greymonroe/genemodel
Licenses: GPL 2
Build system: r
Synopsis: Gene Model Plotting in R
Description:

Using simple input, this package creates plots of gene models. Users can create plots of alternatively spliced gene variants and the positions of mutations and other gene features.

r-gen2stage 1.0
Propagated dependencies: r-clinfun@1.1.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gen2stage
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Two-Stage Designs for Phase II Single-Arm Studies
Description:

One can find single-stage and two-stage designs for a phase II single-arm study with either efficacy or safety/toxicity endpoints as described in Kim and Wong (2019) <doi:10.29220/CSAM.2019.26.2.163>.

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-gquad 2.1-2
Propagated dependencies: r-seqinr@4.2-36 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gquad
Licenses: Artistic License 2.0
Build system: r
Synopsis: Prediction of G Quadruplexes and Other Non-B DNA Motifs
Description:

Genomic biology is not limited to the confines of the canonical B-forming DNA duplex, but includes over ten different types of other secondary structures that are collectively termed non-B DNA structures. Of these non-B DNA structures, the G-quadruplexes are highly stable four-stranded structures that are recognized by distinct subsets of nuclear factors. This package provide functions for predicting intramolecular G quadruplexes. In addition, functions for predicting other intramolecular nonB DNA structures are included.

r-galah 2.1.2
Propagated dependencies: r-xml2@1.5.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sf@1.0-23 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-potions@0.2.0 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr2@1.2.1 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://galah.ala.org.au/R/
Licenses: FSDG-compatible
Build system: r
Synopsis: Biodiversity Data from the GBIF Node Network
Description:

The Global Biodiversity Information Facility ('GBIF', <https://www.gbif.org>) sources data from an international network of data providers, known as nodes'. Several of these nodes - the "living atlases" (<https://living-atlases.gbif.org>) - maintain their own web services using software originally developed by the Atlas of Living Australia ('ALA', <https://www.ala.org.au>). galah enables the R community to directly access data and resources hosted by GBIF and its partner nodes.

r-glmmrbase 1.2.1
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-r6@2.6.1 r-matrix@1.7-4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/samuel-watson/glmmrBase
Licenses: GPL 2+
Build system: r
Synopsis: Generalised Linear Mixed Models in R
Description:

Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more.

r-gamcopula 0.0-8
Propagated dependencies: r-vinecopula@2.6.1 r-numderiv@2016.8-1.1 r-mgcv@1.9-4 r-mass@7.3-65 r-igraph@2.2.1 r-gsl@2.1-9 r-foreach@1.5.2 r-doparallel@1.0.17 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/tvatter/gamCopula
Licenses: GPL 3
Build system: r
Synopsis: Generalized Additive Models for Bivariate Conditional Dependence Structures and Vine Copulas
Description:

Implementation of various inference and simulation tools to apply generalized additive models to bivariate dependence structures and non-simplified vine copulas.

r-ganpadata 1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GANPAdata
Licenses: GPL 2
Build system: r
Synopsis: The GANPA Datasets Package
Description:

This is a dataset package for GANPA, which implements a network-based gene weighting approach to pathway analysis. This package includes data useful for GANPA, such as a functional association network, pathways, an expression dataset and multi-subunit proteins.

r-gpemr 0.1.0
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GPEMR
Licenses: Expat
Build system: r
Synopsis: Growth Parameter Estimation Method
Description:

This package provides functions for simulating and estimating parameters of various growth models, including Logistic, Exponential, Theta-logistic, Von-Bertalanffy, and Gompertz models. The package supports both simulated and real data analysis, including parameter estimation, visualization, and calculation of global and local estimates. The methods are based on research described by Md Aktar Ul Karim and Amiya Ranjan Bhowmick (2022) in (<https://www.researchsquare.com/article/rs-2363586/v1>). An interactive web application is also available at [GPEMR Web App](<https://gpem-r.shinyapps.io/GPEM-R/>).

r-gdilm-me 1.2.1
Propagated dependencies: r-psych@2.5.6 r-numderiv@2016.8-1.1 r-ngspatial@1.2-2 r-mvtnorm@1.3-3 r-mass@7.3-65 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GDILM.ME
Licenses: Expat
Build system: r
Synopsis: Spatial Modeling of Infectious Diseases with Co-Variate Error
Description:

This package provides tools for simulating from spatial modeling of individual level of infectious disease transmission when co-variates measured with error, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based model within Susceptible-Infectious-Removed (SIR) compartmental frameworks.

r-galahad 1.0.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GALAHAD
Licenses: Expat
Build system: r
Synopsis: Geometry-Adaptive Lyapunov-Assured Hybrid Optimizer
Description:

This package implements the GALAHAD algorithm (Geometry-Adaptive Lyapunov'-Assured Hybrid Optimizer), combining Riemannian metrics, Lyapunov stability checks, and trust-region methods for stable optimization of mixed-geometry parameters. Designed for biological modeling (germination, dose-response, survival) where rates, concentrations, and unconstrained variables coexist. Developed at the Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota. Based on Conn et al. (2000) <doi:10.1137/1.9780898719857>, Amari (1998) <doi:10.1162/089976698300017746>, Beck & Teboulle (2003) <doi:10.1016/S0167-6377(02)00231-6>, Nesterov (2017) <https://www.jstor.org/stable/resrep30722>, and Walne et al. (2020) <doi:10.1002/agg2.20098>.

r-gevcdn 1.1.6-2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GEVcdn
Licenses: GPL 3
Build system: r
Synopsis: GEV Conditional Density Estimation Network
Description:

This package implements a flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology following Cannon (2010) <doi:10.1002/hyp.7506>.

r-geoadjust 2.0.1
Propagated dependencies: r-tmb@1.9.18 r-terra@1.8-86 r-summer@2.0.0 r-sf@1.0-23 r-rcppeigen@0.3.4.0.2 r-matrix@1.7-4 r-ggplot2@4.0.1 r-fmesher@0.5.0 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=GeoAdjust
Licenses: GPL 2+
Build system: r
Synopsis: Accounting for Random Displacements of True GPS Coordinates of Data
Description:

The purpose is to account for the random displacements (jittering) of true survey household cluster center coordinates in geostatistical analyses of Demographic and Health Surveys program (DHS) data. Adjustment for jittering can be implemented either in the spatial random effect, or in the raster/distance based covariates, or in both. Detailed information about the methods behind the package functionality can be found in our two papers. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2024) <doi:10.32614/RJ-2024-027>. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2023) <doi:10.1177/1471082X231219847>.

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-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.

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