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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-ggsced 0.1.6
Propagated dependencies: r-gtable@0.3.6 r-ggplot2@4.0.1 r-ggh4x@0.3.1 r-assert@1.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggsced
Licenses: GPL 2+
Build system: r
Synopsis: Utilities and Helpers for Single Case Experimental Design (SCED) using 'ggplot2'
Description:

This package provides specialized visualization tools for Single-Case Experimental Design (SCED) research using ggplot2'. SCED studies are a crucial methodology in behavioral and educational research where individual participants serve as their own controls through carefully designed experimental phases. This package extends ggplot2 to create publication-ready graphics with professional phase change lines, support for multiple baseline designs, and styling functions that follow SCED visualization conventions. Key functions include adding phase change demarcation lines to existing plots and formatting axes with broken axis appearance commonly used in single-case research.

r-gfdrmtl 0.1.0
Propagated dependencies: r-tippy@0.1.0 r-shinywidgets@0.9.0 r-shinythemes@1.2.0 r-shinymatrix@0.8.1 r-shinyjs@2.1.0 r-shiny@1.11.1 r-plyr@1.8.9 r-mvtnorm@1.3-3 r-mass@7.3-65 r-lpsolve@5.6.23 r-gfdrmst@0.1.1 r-gfdmcv@0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GFDrmtl
Licenses: GPL 3+
Build system: r
Synopsis: Multiple RMTL-Based Tests for Competing Risks Data in General Factorial Designs
Description:

We implemented multiple tests based on the restricted mean time lost (RMTL) for general factorial designs as described in Munko et al. (2024) <doi:10.48550/arXiv.2409.07917>. Therefore, an asymptotic test and a permutation test are incorporated with a Wald-type test statistic. The asymptotic test takes the asymptotic exact dependence structure of the test statistics into account to gain more power. Furthermore, confidence intervals for RMTL contrasts can be calculated and plotted and a stepwise extension that can improve the power of the multiple tests is available.

r-gvc 6.4.0
Propagated dependencies: r-diagonals@6.4.0 r-decompr@6.4.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://qua.st/gvc
Licenses: GPL 3
Build system: r
Synopsis: Global Value Chains Tools
Description:

Several tools for Global Value Chain ('GVC') analysis are implemented.

r-galigor 0.2.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://selesnow.github.io
Licenses: Expat
Build system: r
Synopsis: Collection of Packages for Internet Marketing
Description:

Collection of packages for work with API Google Ads <https://developers.google.com/google-ads/api/docs/start>, Yandex Direct <https://yandex.ru/dev/direct/>, Yandex Metrica <https://yandex.ru/dev/metrika/>, MyTarget <https://target.my.com/help/advertisers/api_arrangement/ru>, Vkontakte <https://vk.com/dev/methods>, Facebook <https://developers.facebook.com/docs/marketing-apis/> and AppsFlyer <https://support.appsflyer.com/hc/en-us/articles/207034346-Using-Pull-API-aggregate-data>. This packages allows you loading data from ads account and manage your ads materials.

r-gsm 1.3.2
Propagated dependencies: r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: http://projecteuclid.org/euclid.aoas/1215118537
Licenses: GPL 2+
Build system: r
Synopsis: Gamma Shape Mixture
Description:

Implementation of a Bayesian approach for estimating a mixture of gamma distributions in which the mixing occurs over the shape parameter. This family provides a flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient, and it only requires to specify a prior distribution for a single parameter.

r-gilmour 0.1.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gilmour
Licenses: GPL 3
Build system: r
Synopsis: The Interpretation of Adjusted Cp Statistic
Description:

Several methods may be found for selecting a subset of regressors from a set of k candidate variables in multiple linear regression. One possibility is to evaluate all possible regression models and comparing them using Mallows's Cp statistic (Cp) according to Gilmour original study. Full model is calculated, all possible combinations of regressors are generated, adjusted Cp for each submodel are computed, and the submodel with the minimum adjusted value Cp (ModelMin) is calculated. To identify the final model, the package applies a sequence of hypothesis tests on submodels nested within ModelMin, following the approach outlined in Gilmour's original paper. For more details see the help of the function final_model() and the original study (1996) <doi:10.2307/2348411>.

r-gginnards 0.2.0-2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://docs.r4photobiology.info/gginnards/
Licenses: GPL 2+
Build system: r
Synopsis: Explore the Innards of 'ggplot2' Objects
Description:

Extensions to ggplot2 providing low-level debug tools: statistics and geometries echoing their data argument. Layer manipulation: deletion, insertion, extraction and reordering of layers. Deletion of unused variables from the data object embedded in "ggplot" objects.

r-graposas 1.0.0
Propagated dependencies: r-mvtnorm@1.3-3 r-ga@3.2.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=graposas
Licenses: GPL 3
Build system: r
Synopsis: Graphical Approach Optimal Sample Size
Description:

Graphical approach provides a useful framework for multiplicity adjustment in clinical trials with multiple endpoints. This package includes statistical methods to optimize sample size over initial weight and transition probability in a graphical approach under a common setting, which is to use marginal power for each endpoint in a trial design. See Zhang, F. and Gou, J. (2023). Sample size optimization for clinical trials using graphical approaches for multiplicity adjustment, Technical Report.

r-ggseg 2.0.0
Dependencies: proj@9.3.1 geos@3.12.1 gdal@3.8.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://ggsegverse.github.io/ggseg/
Licenses: Expat
Build system: r
Synopsis: Plotting Tool for Brain Atlases
Description:

This package provides a ggplot2 geom and position for visualizing brain region data on cortical, subcortical, and white matter tract atlases. Brain atlas geometries are stored as simple features ('sf'), enabling seamless integration with the ggplot2 ecosystem including faceting, custom scales, and themes. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.

r-gamsel 1.8-5
Propagated dependencies: r-mda@0.5-5 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://arxiv.org/abs/1506.03850
Licenses: GPL 2
Build system: r
Synopsis: Fit Regularization Path for Generalized Additive Models
Description:

Using overlap grouped-lasso penalties, gamsel selects whether a term in a gam is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families. See <doi:10.48550/arXiv.1506.03850> for more details.

r-groupwalk 0.1.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://www.biorxiv.org/content/10.1101/2022.01.30.478144v1
Licenses: Expat
Build system: r
Synopsis: Implement the Group Walk Algorithm
Description:

This package provides a procedure that uses target-decoy competition (or knockoffs) to reject multiple hypotheses in the presence of group structure. The procedure controls the false discovery rate (FDR) at a user-specified threshold.

r-grattaninflators 0.5.7
Propagated dependencies: r-hutils@2.0.0 r-fy@0.4.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=grattanInflators
Licenses: GPL 2
Build system: r
Synopsis: Inflators for Australian Policy Analysis
Description:

Using Australian Bureau of Statistics indices, provides functions that convert historical, nominal statistics to real, contemporary values without worrying about date input quality, performance, or the ABS catalogue.

r-ggoceanmaps 2.3.0
Propagated dependencies: r-units@1.0-0 r-stars@0.6-8 r-smoothr@1.2.1 r-sf@1.0-23 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://mikkovihtakari.github.io/ggOceanMaps/
Licenses: GPL 3
Build system: r
Synopsis: Plot Data on Oceanographic Maps using 'ggplot2'
Description:

Allows plotting data on bathymetric maps using ggplot2'. Plotting oceanographic spatial data is made as simple as feasible, but also flexible for custom modifications. Data that contain geographic information from anywhere around the globe can be plotted on maps generated by the basemap() or qmap() functions using ggplot2 layers separated by the + operator. The package uses spatial shape- ('sf') and raster ('stars') files, geospatial packages for R to manipulate, and the ggplot2 package to plot these files. The package ships with low-resolution spatial data files and higher resolution files for detailed maps are stored in the ggOceanMapsLargeData repository on GitHub and downloaded automatically when needed.

r-ggstar 1.0.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/xiangpin/ggstar/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Multiple Geometric Shape Point Layer for 'ggplot2'
Description:

To create the multiple polygonal point layer for easily discernible shapes, we developed the package, it is like the geom_point of ggplot2'. It can be used to draw the scatter plot.

r-gmgm 1.1.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gmgm
Licenses: GPL 3
Build system: r
Synopsis: Gaussian Mixture Graphical Model Learning and Inference
Description:

Gaussian mixture graphical models include Bayesian networks and dynamic Bayesian networks (their temporal extension) whose local probability distributions are described by Gaussian mixture models. They are powerful tools for graphically and quantitatively representing nonlinear dependencies between continuous variables. This package provides a complete framework to create, manipulate, learn the structure and the parameters, and perform inference in these models. Most of the algorithms are described in the PhD thesis of Roos (2018) <https://theses.hal.science/tel-01943718>.

r-gemr 1.2.2
Propagated dependencies: r-scales@1.4.0 r-pracma@2.4.6 r-plsvarsel@0.10.0 r-pls@2.8-5 r-mixlm@1.4.3 r-lme4@1.1-37 r-hdanova@0.8.4 r-gridextra@2.3 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=gemR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: General Effect Modelling
Description:

Two-step modeling with separation of sources of variation through analysis of variance and subsequent multivariate modeling through a range of unsupervised and supervised statistical methods. Separation can focus on removal of interfering effects or isolation of effects of interest. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

r-gese 2.0.1
Propagated dependencies: r-kinship2@1.9.6.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GESE
Licenses: GPL 2
Build system: r
Synopsis: Gene-Based Segregation Test
Description:

This package implements the gene-based segregation test(GESE) and the weighted GESE test for identifying genes with causal variants of large effects for family-based sequencing data. The methods are described in Qiao, D. Lange, C., Laird, N.M., Won, S., Hersh, C.P., et al. (2017). <DOI:10.1002/gepi.22037>. Gene-based segregation method for identifying rare variants for family-based sequencing studies. Genet Epidemiol 41(4):309-319. More details can be found at <http://scholar.harvard.edu/dqiao/gese>.

r-gpcsign 0.1.1
Propagated dependencies: r-truncatednormal@2.3 r-tmvtnorm@1.7 r-future-apply@1.20.0 r-future@1.68.0 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=GPCsign
Licenses: GPL 3
Build system: r
Synopsis: Gaussian Process Classification as Described in Bachoc et al. (2020)
Description:

Parameter estimation and prediction of Gaussian Process Classifier models as described in Bachoc et al. (2020) <doi:10.1007/S10898-020-00920-0>. Important functions : gpcm(), predict.gpcm(), update.gpcm().

r-gwsdat 3.3.0
Propagated dependencies: r-zoo@1.8-14 r-splancs@2.01-45 r-sp@2.2-0 r-sm@2.2-6.0 r-shinyjs@2.1.0 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-sf@1.0-23 r-rhandsontable@0.3.8 r-readxl@1.4.5 r-raster@3.6-32 r-officer@0.7.1 r-matrix@1.7-4 r-mass@7.3-65 r-lubridate@1.9.4 r-lattice@0.22-7 r-kendall@2.2.1 r-geometry@0.5.2 r-digest@0.6.39 r-deldir@2.0-4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GWSDAT
Licenses: GPL 3
Build system: r
Synopsis: GroundWater Spatiotemporal Data Analysis Tool (GWSDAT)
Description:

Shiny application for the analysis of groundwater monitoring data, designed to work with simple time-series data for solute concentration and ground water elevation, but can also plot non-aqueous phase liquid (NAPL) thickness if required. Also provides the import of a site basemap in GIS shapefile format.

r-gators 1.0.2
Propagated dependencies: r-terra@1.8-86 r-stringr@1.6.0 r-spthin@0.2.0 r-spatstat-geom@3.6-1 r-ridigbio@0.4.1 r-rgbif@3.8.4 r-parsedate@1.3.2 r-magrittr@2.0.4 r-leaflet@2.2.3 r-dplyr@1.1.4 r-coordinatecleaner@3.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://nataliepatten.github.io/gatoRs/
Licenses: GPL 3
Build system: r
Synopsis: Geographic and Taxonomic Occurrence R-Based Scrubbing
Description:

Streamlines downloading and cleaning biodiversity data from Integrated Digitized Biocollections (iDigBio) and the Global Biodiversity Information Facility (GBIF).

r-goldilocks 0.4.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/graemeleehickey/goldilocks
Licenses: GPL 3
Build system: r
Synopsis: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Description:

This package implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.

r-grouper 0.5.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=grouper
Licenses: Expat
Build system: r
Synopsis: Optimal Assignment of Students to Groups
Description:

Integer programming models to assign students to groups by maximising diversity within groups, or by maximising preference scores for topics.

r-gbm-auto 2024.10.01
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gbm.auto
Licenses: Expat
Build system: r
Synopsis: Automated Boosted Regression Tree Modelling and Mapping Suite
Description:

Automates delta log-normal boosted regression tree abundance prediction. Loops through parameters provided (LR (learning rate), TC (tree complexity), BF (bag fraction)), chooses best, simplifies, & generates line, dot & bar plots, & outputs these & predictions & a report, makes predicted abundance maps, and Unrepresentativeness surfaces. Package core built around gbm (gradient boosting machine) functions in dismo (Hijmans, Phillips, Leathwick & Jane Elith, 2020 & ongoing), itself built around gbm (Greenwell, Boehmke, Cunningham & Metcalfe, 2020 & ongoing, originally by Ridgeway). Indebted to Elith/Leathwick/Hastie 2008 Working Guide <doi:10.1111/j.1365-2656.2008.01390.x>; workflow follows Appendix S3. See <https://www.simondedman.com/> for published guides and papers using this package.

r-gmwmx2 0.0.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/SMAC-Group/gmwmx2
Licenses: AGPL 3
Build system: r
Synopsis: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Description:

This package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The gmwmx2 package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.

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Total results: 69112