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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-ggsoccer 0.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://torvaney.github.io/ggsoccer/
Licenses: Expat
Build system: r
Synopsis: Plot Soccer Event Data
Description:

The ggplot2 package provides a powerful set of tools for visualising and investigating data. The ggsoccer package provides a set of functions for elegantly displaying and exploring soccer event data with ggplot2'. Providing extensible layers and themes, it is designed to work smoothly with a variety of popular sports data providers.

r-ge 0.5.4
Propagated dependencies: r-diagrammer@1.0.11 r-data-tree@1.2.0 r-cge@0.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GE
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: General Equilibrium Modeling
Description:

Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to J. von Neumann (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9), J. G. Kemeny, O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.

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-gofreg 1.0.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/gkremling/gofreg
Licenses: Expat
Build system: r
Synopsis: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression
Description:

This package provides statistical methods to check if a parametric family of conditional density functions fits to some given dataset of covariates and response variables. Different test statistics can be used to determine the goodness-of-fit of the assumed model, see Andrews (1997) <doi:10.2307/2171880>, Bierens & Wang (2012) <doi:10.1017/S0266466611000168>, Dikta & Scheer (2021) <doi:10.1007/978-3-030-73480-0> and Kremling & Dikta (2024) <doi:10.48550/arXiv.2409.20262>. As proposed in these papers, the corresponding p-values are approximated using a parametric bootstrap method.

r-genero 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/datasketch/genero
Licenses: Expat
Build system: r
Synopsis: Estimate Gender from Names in Spanish and Portuguese
Description:

Estimate gender from names in Spanish and Portuguese. Works with vectors and dataframes. The estimation works not only for first names but also full names. The package relies on a compilation of common names with it's most frequent associated gender in both languages which are used as look up tables for gender inference.

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@1.1-7
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-gecal 0.1.7
Propagated dependencies: r-nleqslv@3.3.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/yonghyun-K/GECal
Licenses: Expat
Build system: r
Synopsis: Generalized Entropy Calibration
Description:

Generalized Entropy Calibration produces calibration weights using generalized entropy as the objective function for optimization. This approach, as implemented in the GECal package, is based on Kwon, Kim, and Qiu (2024) <doi:10.48550/arXiv.2404.01076>. GECal incorporates design weights into the constraints to maintain design consistency, rather than including them in the objective function itself.

r-ggmugs 0.6.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggmugs
Licenses: Expat
Build system: r
Synopsis: Visualization of Multiple Genome-Wide Association Study Summary Statistics
Description:

This package provides a grammar of graphics approach for visualizing summary statistics from multiple Genome-wide Association Studies (GWAS). It offers geneticists, bioinformaticians, and researchers a powerful yet flexible tool for illustrating complex genetic associations using data from various GWAS datasets. The visualizations can be extensively customized, facilitating detailed comparative analysis across different genetic studies. Reference: Uffelmann, E. et al. (2021) <doi:10.1038/s43586-021-00056-9>.

r-gscalca 0.0.5
Propagated dependencies: r-stringr@1.6.0 r-psych@2.5.6 r-progress@1.2.3 r-nnet@7.3-20 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1 r-foreach@1.5.2 r-fclust@2.1.3 r-fastdummies@1.7.5 r-dosnow@1.0.20 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/hee6904/gscaLCA
Licenses: GPL 3
Build system: r
Synopsis: Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Description:

Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structured Component Analysis (GSCA). This is explained in Ryoo, Park, and Kim (2019) <doi:10.1007/s41237-019-00084-6>. It estimates the parameters of latent class prevalence and item response probability in LCA with a single line comment. It also provides graphs of item response probabilities. In addition, the package enables to estimate the relationship between the prevalence and covariates.

r-govinfor 0.0.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/blackerby/govinfoR
Licenses: Expat
Build system: r
Synopsis: 'GovInfo' API Wrapper
Description:

Access data provided by the United States Government Publishing Office (GPO) GovInfo API (<https://github.com/usgpo/api>).

r-gestate 1.6.0
Propagated dependencies: r-survival@3.8-3 r-shinythemes@1.2.0 r-shiny@1.11.1 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=gestate
Licenses: GPL 3
Build system: r
Synopsis: Generalised Survival Trial Assessment Tool Environment
Description:

This package provides tools to assist planning and monitoring of time-to-event trials under complicated censoring assumptions and/or non-proportional hazards. There are three main components: The first is analytic calculation of predicted time-to-event trial properties, providing estimates of expected hazard ratio, event numbers and power under different analysis methods. The second is simulation, allowing stochastic estimation of these same properties. Thirdly, it provides parametric event prediction using blinded trial data, including creation of prediction intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment distributions (Curves).

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-gdatools 2.3
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-gscramble 1.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/eriqande/gscramble
Licenses: CC0
Build system: r
Synopsis: Simulating Admixed Genotypes Without Replacement
Description:

This package provides a genomic simulation approach for creating biologically informed individual genotypes from empirical data that 1) samples alleles from populations without replacement, 2) segregates alleles based on species-specific recombination rates. gscramble is a flexible simulation approach that allows users to create pedigrees of varying complexity in order to simulate admixed genotypes. Furthermore, it allows users to track haplotype blocks from the source populations through the pedigrees.

r-gmfd 1.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gmfd
Licenses: GPL 3
Build system: r
Synopsis: Inference and Clustering of Functional Data
Description:

Some methods for the inference and clustering of univariate and multivariate functional data, using a generalization of Mahalanobis distance, along with some functions useful for the analysis of functional data. For further details, see Martino A., Ghiglietti, A., Ieva, F. and Paganoni A. M. (2017) <arXiv:1708.00386>.

r-glow 0.13.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/traversc/glow
Licenses: GPL 3
Build system: r
Synopsis: Make Plots that Glow
Description:

This package provides a framework for creating plots with glowing points.

r-genepi 1.0.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=genepi
Licenses: GPL 2+
Build system: r
Synopsis: Genetic Epidemiology Design and Inference
Description:

Package for Genetic Epidemiologic Methods Developed at MSKCC. It contains functions to calculate haplotype specific odds ratio and the power of two stage design for GWAS studies.

r-gregry 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gregRy
Licenses: Expat
Build system: r
Synopsis: GREGORY Estimation
Description:

This package provides functions which make using the Generalized Regression Estimator(GREG) J.N.K. Rao, Isabel Molina, (2015) <doi:10.3390/f11020244> and the Generalized Regression Estimator Operating on Resolutions of Y (GREGORY) easier. The functions are designed to work well within a forestry context, and estimate multiple estimation units at once. Compared to other survey estimation packages, this function has greater flexibility when describing the linear model.

r-gamlss-mx 6.0-1
Propagated dependencies: r-nnet@7.3-20 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://www.gamlss.com/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Fitting Mixture Distributions with GAMLSS
Description:

The main purpose of this package is to allow fitting of mixture distributions with generalised additive models for location scale and shape models see Chapter 7 of Stasinopoulos et al. (2017) <doi:10.1201/b21973-4>.

r-gesisdata 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-rselenium@1.7.9 r-rio@1.2.4 r-netstat@0.1.2 r-magrittr@2.0.4 r-foreign@0.8-90 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/fsolt/gesisdata
Licenses: Expat
Build system: r
Synopsis: Reproducible Data Retrieval from the GESIS Data Archive
Description:

Reproducible, programmatic retrieval of datasets from the GESIS Data Archive. The GESIS Data Archive <https://search.gesis.org> makes available thousands of invaluable datasets, but researchers using these datasets are caught in a bind. The archive's terms and conditions bar dissemination of downloaded datasets to third parties, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one has employed. The gesisdata package cuts this knot by providing registered users with programmatic, reproducible access to GESIS datasets from within R'.

r-geex 1.1.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-numderiv@2016.8-1.1 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://github.com/bsaul/geex
Licenses: Expat
Build system: r
Synopsis: An API for M-Estimation
Description:

This package provides a general, flexible framework for estimating parameters and empirical sandwich variance estimator from a set of unbiased estimating equations (i.e., M-estimation in the vein of Stefanski & Boos (2002) <doi:10.1198/000313002753631330>). All examples from Stefanski & Boos (2002) are published in the corresponding Journal of Statistical Software paper "The Calculus of M-Estimation in R with geex" by Saul & Hudgens (2020) <doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample variance corrections.

r-gimmegvar 0.1.0
Propagated dependencies: r-qgraph@1.9.8 r-png@0.1-8 r-here@1.0.2 r-graphicalvar@0.3.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GIMMEgVAR
Licenses: GPL 2
Build system: r
Synopsis: Group Iterative Multiple Model Estimation with 'graphicalVAR'
Description:

Data-driven approach for arriving at person-specific time series models from within a Graphical Vector Autoregression (VAR) framework. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. All estimates are obtained uniquely for each individual in the final models. The method for the graphicalVAR approach is found in Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.

r-googlenlp 0.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/BrianWeinstein/googlenlp
Licenses: Expat
Build system: r
Synopsis: An Interface to Google's Cloud Natural Language API
Description:

Interact with Google's Cloud Natural Language API <https://cloud.google.com/natural-language/> (v1) via R. The API has four main features, all of which are available through this R package: syntax analysis and part-of-speech tagging, entity analysis, sentiment analysis, and language identification.

r-gecko 1.0.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/VascoBranco/gecko
Licenses: GPL 2
Build system: r
Synopsis: Geographical Ecology and Conservation Knowledge Online
Description:

Includes a collection of geographical analysis functions aimed primarily at ecology and conservation science studies, allowing processing of both point and raster data. Now integrates SPECTRE (<https://biodiversityresearch.org/spectre/>), a dataset of global geospatial threat data, developed by the authors.

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