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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-spgarch 0.2.3
Propagated dependencies: r-truncnorm@1.0-9 r-spdep@1.4-1 r-rsolnp@2.0.1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-nleqslv@3.3.5 r-matrix@1.7-4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spGARCH
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Spatial ARCH and GARCH Models (spGARCH)
Description:

This package provides a collection of functions to deal with spatial and spatiotemporal autoregressive conditional heteroscedasticity (spatial ARCH and GARCH models) by Otto, Schmid, Garthoff (2018, Spatial Statistics) <doi:10.1016/j.spasta.2018.07.005>: simulation of spatial ARCH-type processes (spARCH, log/exponential-spARCH, complex-spARCH); quasi-maximum-likelihood estimation of the parameters of spARCH models and spatial autoregressive models with spARCH disturbances, diagnostic checks, visualizations.

r-svars 1.3.12
Propagated dependencies: r-zoo@1.8-14 r-vars@1.6-1 r-strucchange@1.5-4 r-steadyica@1.0.1 r-reshape2@1.4.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pbapply@1.7-4 r-ggplot2@4.0.1 r-expm@1.0-0 r-deoptim@2.2-8 r-copula@1.1-6 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=svars
Licenses: Expat
Build system: r
Synopsis: Data-Driven Identification of SVAR Models
Description:

This package implements data-driven identification methods for structural vector autoregressive (SVAR) models as described in Lange et al. (2021) <doi:10.18637/jss.v097.i05>. Based on an existing VAR model object (provided by e.g. VAR() from the vars package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), patterns of GARCH (Normadin, M., Phaneuf, L. (2004) <doi:10.1016/j.jmoneco.2003.11.002>), independent component analysis (Matteson, D. S, Tsay, R. S., (2013) <doi:10.1080/01621459.2016.1150851>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>), smooth transition in variances (Luetkepohl, H., Netsunajev, A. (2017) <doi:10.1016/j.jedc.2017.09.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>)).

r-simcormultres 1.9.0
Propagated dependencies: r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/AnestisTouloumis/SimCorMultRes
Licenses: GPL 3
Build system: r
Synopsis: Simulates Correlated Multinomial Responses
Description:

Simulates correlated multinomial responses conditional on a marginal model specification.

r-survivalsurrogate 1.1
Propagated dependencies: r-sparsem@1.84-2 r-rpart@4.1.24 r-rbeta2009@1.0.1 r-purrr@1.2.0 r-mlr3@1.2.0 r-magrittr@2.0.4 r-glue@1.8.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survivalsurrogate
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Evaluate a Longitudinal Surrogate with a Censored Outcome
Description:

This package provides influence function-based methods to evaluate a longitudinal surrogate marker in a censored time-to-event outcome setting, with plug-in and targeted maximum likelihood estimation options. Details are described in: Agniel D and Parast L (2025). "Robust Evaluation of Longitudinal Surrogate Markers with Censored Data." Journal of the Royal Statistical Society: Series B <doi:10.1093/jrsssb/qkae119>. A tutorial for this package can be found at <https://www.laylaparast.com/survivalsurrogate> and a Shiny App implementing the package can be found at <https://parastlab.shinyapps.io/survivalsurrogateApp/>.

r-simet 1.0.3
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-plyr@1.8.9 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggpubr@0.6.2 r-ggpmisc@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simET
Licenses: GPL 3+
Build system: r
Synopsis: Tools for Simulation of Evapotranspiration of Field Crops and Soil Water Balance
Description:

Supports the calculation of meteorological characteristics in evapotranspiration research and reference crop evapotranspiration, and offers three models to simulate crop evapotranspiration and soil water balance in the field, including single crop coefficient and dual crop coefficient, as well as the Shuttleworth-Wallace model. These calculations main refer to Allen et al.(1998, ISBN:92-5-104219-5), Teh (2006, ISBN:1-58-112-998-X), and Liu et al.(2006) <doi:10.1016/j.agwat.2006.01.018>.

r-spinifex 0.3.10
Propagated dependencies: r-tourr@1.2.6 r-shiny@1.11.1 r-rdimtools@1.1.3 r-plotly@4.11.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-gganimate@1.0.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/nspyrison/spinifex/
Licenses: Expat
Build system: r
Synopsis: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data
Description:

Data visualization tours animates linear projection of multivariate data as its basis (ie. orientation) changes. The spinifex packages generates paths for manual tours by manipulating the contribution of a single variable at a time Cook & Buja (1997) <doi:10.1080/10618600.1997.10474754>. Other types of tours, such as grand (random walk) and guided (optimizing some objective function) are available in the tourr package Wickham et al. <doi:10.18637/jss.v040.i02>. spinifex builds on tourr and can render tours with gganimate and plotly graphics, and allows for exporting as an .html widget and as an .gif, respectively. This work is fully discussed in Spyrison & Cook (2020) <doi:10.32614/RJ-2020-027>.

r-solarpos 1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=solarPos
Licenses: GPL 2
Build system: r
Synopsis: Solar Position Algorithm for Solar Radiation Applications
Description:

Calculation of solar zenith and azimuth angles.

r-shiny-pwa 0.2.1
Propagated dependencies: r-urltools@1.7.3.1 r-shiny@1.11.1 r-readr@2.1.6 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/pedrocoutinhosilva/shiny.pwa
Licenses: Expat
Build system: r
Synopsis: Progressive Web App Support for Shiny
Description:

Adds Progressive Web App support for Shiny apps, including desktop and mobile installations.

r-siebanxicor 1.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=siebanxicor
Licenses: Expat
Build system: r
Synopsis: Query Data Series from Bank of Mexico
Description:

Allows to retrieve time series of all indicators available in the Bank of Mexico's Economic Information System (<http://www.banxico.org.mx/SieInternet/>).

r-saeczi 0.2.0
Propagated dependencies: r-rlang@1.1.6 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-progressr@0.18.0 r-lme4@1.1-37 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://harvard-ufds.github.io/saeczi/
Licenses: Expat
Build system: r
Synopsis: Small Area Estimation for Continuous Zero Inflated Data
Description:

This package provides functionality to fit a zero-inflated estimator for small area estimation. This estimator is a combines a linear mixed effects regression model and a logistic mixed effects regression model via a two-stage modeling approach. The estimator's mean squared error is estimated via a parametric bootstrap method. Chandra and others (2012, <doi:10.1080/03610918.2011.598991>) introduce and describe this estimator and mean squared error estimator. White and others (2024+, <doi:10.48550/arXiv.2402.03263>) describe the applicability of this estimator to estimation of forest attributes and further assess the estimator's properties.

r-sylly 0.1-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://reaktanz.de/?c=hacking&s=sylly
Licenses: GPL 3+
Build system: r
Synopsis: Hyphenation and Syllable Counting for Text Analysis
Description:

This package provides the hyphenation algorithm used for TeX'/'LaTeX and similar software, as proposed by Liang (1983, <https://tug.org/docs/liang/>). Mainly contains the function hyphen() to be used for hyphenation/syllable counting of text objects. It was originally developed for and part of the koRpus package, but later released as a separate package so it's lighter to have this particular functionality available for other packages. Support for various languages needs be added on-the-fly or by plugin packages (<https://undocumeantit.github.io/repos/>); this package does not include any language specific data. Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).

r-slackr 3.3.1
Propagated dependencies: r-withr@3.0.2 r-tibble@3.3.0 r-rlang@1.1.6 r-memoise@2.0.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-cachem@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mrkaye97/slackr
Licenses: Expat
Build system: r
Synopsis: Send Messages, Images, R Objects and Files to 'Slack' Channels/Users
Description:

Slack <https://slack.com/> provides a service for teams to collaborate by sharing messages, images, links, files and more. Functions are provided that make it possible to interact with the Slack platform API'. When you need to share information or data from R, rather than resort to copy/ paste in e-mails or other services like Skype <https://www.skype.com/en/>, you can use this package to send well-formatted output from multiple R objects and expressions to all teammates at the same time with little effort. You can also send images from the current graphics device, R objects, and upload files.

r-simtrait 1.1.3
Propagated dependencies: r-prroc@1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/OchoaLab/simtrait
Licenses: GPL 3
Build system: r
Synopsis: Simulate Complex Traits from Genotypes
Description:

Simulate complex traits given a SNP genotype matrix and model parameters (the desired heritability, number of causal loci, and either the true ancestral allele frequencies used to generate the genotypes or the mean kinship for a real dataset). Emphasis on avoiding common biases due to the use of estimated allele frequencies. The code selects random loci to be causal, constructs coefficients for these loci and random independent non-genetic effects, and can optionally generate random group effects. Traits can follow three models: random coefficients, fixed effect sizes, and infinitesimal (multivariate normal). GWAS method benchmarking functions are also provided. Described in Yao and Ochoa (2022) <doi:10.1101/2022.03.25.485885>.

r-simsurvnmarker 0.1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/boennecd/SimSurvNMarker
Licenses: GPL 2
Build system: r
Synopsis: Simulate Survival Time and Markers
Description:

This package provides functions to simulate from joint survival and marker models. The user can specific all basis functions of time, random or deterministic covariates, random or deterministic left-truncation and right-censoring times, and model parameters.

r-strip 1.0.0
Propagated dependencies: r-rlist@0.4.6.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/paulponcet/strip
Licenses: Expat
Build system: r
Synopsis: Lighten your R Model Outputs
Description:

The strip function deletes components of R model outputs that are useless for specific purposes, such as predict[ing], print[ing], summary[izing], etc.

r-statgenhtp 1.0.9.1
Propagated dependencies: r-spats@1.0-19 r-spam@2.11-1 r-scales@1.4.0 r-rlang@1.1.6 r-matrix@1.7-4 r-lubridate@1.9.4 r-locfit@1.5-9.12 r-lmmsolver@1.0.12 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-ggforce@0.5.0 r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://biometris.github.io/statgenHTP/index.html
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: High Throughput Phenotyping (HTP) Data Analysis
Description:

Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://cordis.europa.eu/project/id/731013>). Some functions have been created to be used in conjunction with the R package asreml for the ASReml software, which can be obtained upon purchase from VSN international (<https://vsni.co.uk/software/asreml-r/>).

r-splineplot 0.2.1
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jinseob2kim/splineplot
Licenses: ASL 2.0
Build system: r
Synopsis: Visualization of Spline Effects in GAM and GLM Models
Description:

This package creates ggplot2'-based visualizations of smooth effects from GAM (Generalized Additive Models) fitted with mgcv and spline effects from GLM (Generalized Linear Models). Supports interaction terms and provides hazard ratio plots with histograms for survival analysis. Wood (2017, ISBN:9781498728331) provides comprehensive methodology for generalized additive models.

r-sqltargets 0.3.0
Propagated dependencies: r-withr@3.0.2 r-targets@1.11.4 r-tarchetypes@0.13.2 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-jinjar@0.3.2 r-glue@1.8.0 r-fs@1.6.6 r-dbi@1.2.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/daranzolin/sqltargets
Licenses: Expat
Build system: r
Synopsis: 'Targets' Extension for 'SQL' Queries
Description:

This package provides an extension for SQL queries as separate file within targets pipelines. The shorthand creates two targets, the query file and the query result.

r-smotefamily 1.4.0
Propagated dependencies: r-igraph@2.2.1 r-fnn@1.1.4.1 r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smotefamily
Licenses: GPL 3+
Build system: r
Synopsis: Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE
Description:

This package provides a collection of various oversampling techniques developed from SMOTE is provided. SMOTE is a oversampling technique which synthesizes a new minority instance between a pair of one minority instance and one of its K nearest neighbor. Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.

r-spacenet 1.2
Propagated dependencies: r-vegan@2.7-2 r-sna@2.8 r-rfast@2.1.5.2 r-rcpptn@0.2-2 r-permute@0.9-8 r-mclust@6.1.2 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spaceNet
Licenses: GPL 2+
Build system: r
Synopsis: Latent Space Models for Multidimensional Networks
Description:

Latent space models for multivariate networks (multiplex) estimated via MCMC algorithm. See D Angelo et al. (2018) <arXiv:1803.07166> and D Angelo et al. (2018) <arXiv:1807.03874>.

r-sp23design 0.9-1
Propagated dependencies: r-survival@3.8-3 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sp23design
Licenses: LGPL 3
Build system: r
Synopsis: Design and Simulation of Seamless Phase II-III Clinical Trials
Description:

This package provides methods for generating, exploring and executing seamless Phase II-III designs of Lai, Lavori and Shih using generalized likelihood ratio statistics. Includes pdf and source files that describe the entire R implementation with the relevant mathematical details.

r-sk4fga 0.1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/tobyhayward13/SCI118UOA_ForensicGlassAnalysis
Licenses: GPL 2+
Build system: r
Synopsis: Scott-Knott for Forensic Glass Analysis
Description:

In forensics, it is common and effective practice to analyse glass fragments from the scene and suspects to gain evidence of placing a suspect at the crime scene. This kind of analysis involves comparing the physical and chemical attributes of glass fragments that exist on both the person and at the crime scene, and assessing the significance in a likeness that they share. The package implements the Scott-Knott Modification 2 algorithm (SKM2) (Christopher M. Triggs and James M. Curran and John S. Buckleton and Kevan A.J. Walsh (1997) <doi:10.1016/S0379-0738(96)02037-3> "The grouping problem in forensic glass analysis: a divisive approach", Forensic Science International, 85(1), 1--14) for small sample glass fragment analysis using the refractive index (ri) of a set of glass samples. It also includes an experimental multivariate analog to the Scott-Knott algorithm for similar analysis on glass samples with multiple chemical concentration variables and multiple samples of the same item; testing against the Hotellings T^2 distribution (J.M. Curran and C.M. Triggs and J.R. Almirall and J.S. Buckleton and K.A.J. Walsh (1997) <doi:10.1016/S1355-0306(97)72197-X> "The interpretation of elemental composition measurements from forensic glass evidence", Science & Justice, 37(4), 241--244).

r-shiny-reglog 0.5.2
Propagated dependencies: r-uuid@1.2-1 r-stringi@1.8.7 r-shinyjs@2.1.0 r-shiny@1.11.1 r-scrypt@0.1.6 r-r6@2.6.1 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://statismike.github.io/shiny.reglog/
Licenses: Expat
Build system: r
Synopsis: Optional Login and Registration Module System for ShinyApps
Description:

RegLog system provides a set of shiny modules to handle register procedure for your users, alongside with login, edit credentials and password reset functionality. It provides support for popular SQL databases and optionally googlesheet-based database for easy setup. For email sending it provides support for emayili and gmailr backends. Architecture makes customizing usability pretty straightforward. The authentication system created with shiny.reglog is designed to be optional: user don't need to be logged-in to access your application, but when logged-in the user data can be used to read from and write to relational databases.

r-shelf 1.12.1
Propagated dependencies: r-tidyr@1.3.1 r-survminer@0.5.1 r-survival@3.8-3 r-sn@2.1.1 r-shinymatrix@0.8.0 r-shiny@1.11.1 r-scales@1.4.0 r-rmarkdown@2.30 r-hmisc@5.2-4 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-ggextra@0.11.0 r-flexsurv@2.3.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/OakleyJ/SHELF
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Tools to Support the Sheffield Elicitation Framework
Description:

This package implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions; eliciting multivariate distributions using a Gaussian copula; eliciting a Dirichlet distribution; eliciting distributions for variance parameters in a random effects meta-analysis model; survival extrapolation. R Shiny apps for most of the methods are included.

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