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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-gridsampler 0.6
Propagated dependencies: r-shinythemes@1.2.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-reshape2@1.4.5 r-plyr@1.8.9 r-ggplot2@4.0.1 r-biasedurn@2.0.12
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/markheckmann/gridsampler
Licenses: GPL 3
Synopsis: Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies
Description:

Simulation tool to facilitate determination of required sample size to achieve category saturation for studies using multiple repertory grids in conjunction with content analysis.

r-guerry 1.8.3
Propagated dependencies: r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/friendly/Guerry
Licenses: GPL 2+ GPL 3+
Synopsis: Maps, Data and Methods Related to Guerry (1833) "Moral Statistics of France"
Description:

Maps of France in 1830, multivariate datasets from A.-M. Guerry and others, and statistical and graphic methods related to Guerry's "Moral Statistics of France". The goal is to facilitate the exploration and development of statistical and graphic methods for multivariate data in a geospatial context of historical interest.

r-gptreeo 1.0.1
Propagated dependencies: r-r6@2.6.1 r-mlegp@3.1.9 r-hash@2.2.6.3 r-dicekriging@1.6.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GPTreeO
Licenses: Expat
Synopsis: Dividing Local Gaussian Processes for Online Learning Regression
Description:

We implement and extend the Dividing Local Gaussian Process algorithm by Lederer et al. (2020) <doi:10.48550/arXiv.2006.09446>. Its main use case is in online learning where it is used to train a network of local GPs (referred to as tree) by cleverly partitioning the input space. In contrast to a single GP, GPTreeO is able to deal with larger amounts of data. The package includes methods to create the tree and set its parameter, incorporating data points from a data stream as well as making joint predictions based on all relevant local GPs.

r-genscore 1.0.2.2
Propagated dependencies: r-tmvtnorm@1.7 r-stringr@1.6.0 r-rdpack@2.6.4 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/sqyu/genscore
Licenses: GPL 3
Synopsis: Generalized Score Matching Estimators
Description:

Implementation of the Generalized Score Matching estimator in Yu et al. (2019) <https://jmlr.org/papers/v20/18-278.html> for non-negative graphical models (truncated Gaussian, exponential square-root, gamma, a-b models) and univariate truncated Gaussian distributions. Also includes the original estimator for untruncated Gaussian graphical models from Lin et al. (2016) <doi:10.1214/16-EJS1126>, with the addition of a diagonal multiplier.

r-genderapi 1.0.3
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/GenderAPI/genderapi-R
Licenses: Expat
Synopsis: Client for 'GenderAPI.io'
Description:

This package provides an interface to the GenderAPI.io web service (<https://www.genderapi.io>) for determining gender from personal names, email addresses, or social media usernames. Functions are available to submit single or batch queries and retrieve additional information such as accuracy scores and country-specific gender predictions. This package simplifies integration of GenderAPI.io into R workflows for data cleaning, user profiling, and analytics tasks.

r-gglorenz 0.0.2
Propagated dependencies: r-ineq@0.2-13 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jjchern/gglorenz
Licenses: Expat
Synopsis: Plotting Lorenz Curve with the Blessing of 'ggplot2'
Description:

This package provides statistical transformations for plotting empirical ordinary Lorenz curve (Lorenz 1905) <doi:10.2307/2276207> and generalized Lorenz curve (Shorrocks 1983) <doi:10.2307/2554117>.

r-genogeographer 0.1.19
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-rio@1.2.4 r-readr@2.1.6 r-purrr@1.2.0 r-maps@3.4.3 r-magrittr@2.0.4 r-leaflet@2.2.3 r-knitr@1.50 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=genogeographer
Licenses: GPL 2+
Synopsis: Methods for Analysing Forensic Ancestry Informative Markers
Description:

Evaluates likelihood ratio tests for alleged ancestry. Implements the methods of Tvedebrink et al (2018) <doi:10.1016/j.tpb.2017.12.004>.

r-gkrls 1.0.4
Propagated dependencies: r-sandwich@3.1-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-r6@2.6.1 r-mlr3@1.2.0 r-mgcv@1.9-4 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/mgoplerud/gKRLS
Licenses: GPL 2+
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-gamlss-tr 5.1-9
Propagated dependencies: 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
Synopsis: Generating and Fitting Truncated `gamlss.family' Distributions
Description:

This is an add on package to GAMLSS. The purpose of this package is to allow users to defined truncated distributions in GAMLSS models. The main function gen.trun() generates truncated version of an existing GAMLSS family distribution.

r-grapesagri1 1.1.0
Propagated dependencies: r-summarytools@1.1.4 r-shinywidgets@0.9.0 r-shiny@1.11.1 r-rmarkdown@2.30 r-reshape2@1.4.5 r-rdpack@2.6.4 r-rcolorbrewer@1.1-3 r-pastecs@1.4.2 r-paireddata@1.1.1 r-magrittr@2.0.4 r-knitr@1.50 r-kableextra@1.4.0 r-hmisc@5.2-4 r-gtools@3.9.5 r-gridgraphics@0.5-1 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-desplot@1.10 r-corrplot@0.95 r-agricolae@1.3-7
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=grapesAgri1
Licenses: GPL 3
Synopsis: Collection of Shiny Apps for Agricultural Research Data Analysis
Description:

Allows user to have graphical user interface to perform analysis of Agricultural experimental data. On using the functions in this package a Interactive User Interface will pop up. Apps Works by simple upload of files in CSV format.

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+
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-gmgeostats 0.11.4
Propagated dependencies: r-sp@2.2-0 r-rcolorbrewer@1.1-3 r-gstat@2.1-4 r-foreach@1.5.2 r-compositions@2.0-9 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://codebase.helmholtz.cloud/geomet/gmGeostats
Licenses: CC-BY-SA 4.0 GPL 2+
Synopsis: Geostatistics for Compositional Analysis
Description:

Support for geostatistical analysis of multivariate data, in particular data with restrictions, e.g. positive amounts, compositions, distributional data, microstructural data, etc. It includes descriptive analysis and modelling for such data, both from a two-point Gaussian perspective and multipoint perspective. The methods mainly follow Tolosana-Delgado, Mueller and van den Boogaart (2018) <doi:10.1007/s11004-018-9769-3>.

r-geoelectrics 0.2.2
Propagated dependencies: r-rgl@1.3.31 r-lattice@0.22-7 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/kleebaum/geoelectrics
Licenses: GPL 2+
Synopsis: 3D-Visualization of Geoelectric Resistivity Measurement Profiles
Description:

Visualizes two-dimensional geoelectric resistivity measurement profiles in three dimensions.

r-gaussianhmm1d 1.1.2
Propagated dependencies: 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=GaussianHMM1d
Licenses: GPL 2+
Synopsis: Inference, Goodness-of-Fit and Forecast for Univariate Gaussian Hidden Markov Models
Description:

Inference, goodness-of-fit test, and prediction densities and intervals for univariate Gaussian Hidden Markov Models (HMM). The goodness-of-fit is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Chapter 10.2 of Remillard (2013) <doi:10.1201/b14285>.

r-ggx 0.1.1
Propagated dependencies: r-sets@1.0-25 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggx
Licenses: GPL 3
Synopsis: Natural Language Interface to 'ggplot2'
Description:

The ggplot2 package is the state-of-the-art toolbox for creating and formatting graphs. However, it is easy to forget how certain formatting commands are named and sometimes users find themselves asking: How do you rotate the x-axis labels again? Or how do you hide the legend...? This package allows users to issue natural language commands related to theme-related styling of plots (colors, font size and such), which then are translated into valid ggplot2 commands.

r-geesmv 1.3
Propagated dependencies: r-nlme@3.1-168 r-matrixcalc@1.0-6 r-mass@7.3-65 r-gee@4.13-29
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geesmv
Licenses: GPL 3+
Synopsis: Modified Variance Estimators for Generalized Estimating Equations
Description:

Generalized estimating equations with the original sandwich variance estimator proposed by Liang and Zeger (1986), and eight types of more recent modified variance estimators for improving the finite small-sample performance.

r-gamclass 0.62.7
Propagated dependencies: r-rpart@4.1.24 r-randomforest@4.7-1.2 r-latticeextra@0.6-31 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jhmaindonald/gamclass
Licenses: GPL 2+
Synopsis: Functions and Data for a Course on Modern Regression and Classification
Description:

This package provides functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. The functions are designed to make it straightforward to illustrate the use of cross-validation, the training/test approach, simulation, and model-based estimates of accuracy. Methods considered are Generalized Additive Modeling, Linear and Quadratic Discriminant Analysis, Tree-based methods, and Random Forests.

r-gstar 0.1.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-reshape2@1.4.5 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gstar
Licenses: GPL 2 GPL 3
Synopsis: Generalized Space-Time Autoregressive Model
Description:

Multivariate time series analysis based on Generalized Space-Time Autoregressive Model by Ruchjana et al.(2012) <doi:10.1063/1.4724118>.

r-ggpcp 0.2.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/heike/ggpcp
Licenses: GPL 3
Synopsis: Parallel Coordinate Plots in the 'ggplot2' Framework
Description:

Modern Parallel Coordinate Plots have been introduced in the 1980s as a way to visualize arbitrarily many numeric variables. This Grammar of Graphics implementation also incorporates categorical variables into the plots in a principled manner. By separating the data managing part from the visual rendering, we give full access to the users while keeping the number of parameters manageably low.

r-geiger 2.0.11
Propagated dependencies: r-subplex@1.9 r-rcpp@1.1.0 r-phytools@2.5-2 r-ncbit@2013.03.29.1 r-mvtnorm@1.3-3 r-mass@7.3-65 r-digest@0.6.39 r-desolve@1.40 r-colorspace@2.1-2 r-coda@0.19-4.1 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=geiger
Licenses: GPL 2+
Synopsis: Analysis of Evolutionary Diversification
Description:

This package provides methods for fitting macroevolutionary models to phylogenetic trees Pennell (2014) <doi:10.1093/bioinformatics/btu181>.

r-gpgame 1.2.1
Propagated dependencies: r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mnormt@2.1.1 r-matrixstats@1.5.0 r-mass@7.3-65 r-kriginv@1.4.2 r-gpareto@1.1.9 r-dicekriging@1.6.1 r-dicedesign@1.10
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/vpicheny/GPGame
Licenses: GPL 3
Synopsis: Solving Complex Game Problems using Gaussian Processes
Description:

Sequential strategies for finding a game equilibrium are proposed in a black-box setting (expensive pay-off evaluations, no derivatives). The algorithm handles noiseless or noisy evaluations. Two acquisition functions are available. Graphical outputs can be generated automatically. V. Picheny, M. Binois, A. Habbal (2018) <doi:10.1007/s10898-018-0688-0>. M. Binois, V. Picheny, P. Taillandier, A. Habbal (2020) <doi:10.48550/arXiv.1902.06565>.

r-gendist 2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gendist
Licenses: GPL 2+
Synopsis: Generated Probability Distribution Models
Description:

Computes the probability density function (pdf), cumulative distribution function (cdf), quantile function (qf) and generates random values (rg) for the following general models : mixture models, composite models, folded models, skewed symmetric models and arc tan models.

r-gmdhreg 0.2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GMDHreg
Licenses: GPL 3
Synopsis: Regression using GMDH Algorithms
Description:

Regression using GMDH algorithms from Prof. Alexey G. Ivakhnenko. Group Method of Data Handling (GMDH), or polynomial neural networks, is a family of inductive algorithms that performs gradually complicated polynomial models and selecting the best solution by an external criterion. In other words, inductive GMDH algorithms give possibility finding automatically interrelations in data, and selecting an optimal structure of model or network. The package includes GMDH Combinatorial, GMDH MIA (Multilayered Iterative Algorithm), GMDH GIA (Generalized Iterative Algorithm) and GMDH Combinatorial with Active Neurons.

r-glmvsd 1.5
Propagated dependencies: r-ncvreg@3.16.0 r-mass@7.3-65 r-glmnet@4.1-10 r-brglm@0.7.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/emeryyi/glmvsd
Licenses: GPL 2
Synopsis: Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models
Description:

Variable selection deviation (VSD) measures and instability tests for high-dimensional model selection methods such as LASSO, SCAD and MCP, etc., to decide whether the sparse patterns identified by those methods are reliable.

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Total results: 68249