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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-sgof 2.3.5
Propagated dependencies: r-poibin@1.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sgof
Licenses: GPL 2
Build system: r
Synopsis: Multiple Hypothesis Testing
Description:

Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carvajal Rodrà guez et al., 2009 <doi:10.1186/1471-2105-10-209>; de Uña à lvarez, 2012 <doi:10.1515/1544-6115.1812>; Castro Conde et al., 2015 <doi:10.1177/0962280215597580>) and the BH and BY false discovery rate controlling procedures.

r-simile 1.3.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=Simile
Licenses: FSDG-compatible
Build system: r
Synopsis: Interact with Simile Models
Description:

Allows a Simile model saved as a compiled binary to be loaded, parameterized, executed and interrogated. This version works with Simile v6 on.

r-segmgarch 1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-iterators@1.0.14 r-foreach@1.5.2 r-fgarch@4052.93 r-doparallel@1.0.17 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=segMGarch
Licenses: GPL 2+
Build system: r
Synopsis: Multiple Change-Point Detection for High-Dimensional GARCH Processes
Description:

This package implements a segmentation algorithm for multiple change-point detection in high-dimensional GARCH processes. It simultaneously segments GARCH processes by identifying common change-points, each of which can be shared by a subset or all of the component time series as a change-point in their within-series and/or cross-sectional correlation structure.

r-sprtt 0.2.0
Propagated dependencies: r-purrr@1.2.0 r-mbess@4.9.41 r-lifecycle@1.0.4 r-glue@1.8.0 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://meikesteinhilber.github.io/sprtt/
Licenses: AGPL 3+
Build system: r
Synopsis: Sequential Probability Ratio Tests Toolbox
Description:

It is a toolbox for Sequential Probability Ratio Tests (SPRT), Wald (1945) <doi:10.2134/agronj1947.00021962003900070011x>. SPRTs are applied to the data during the sampling process, ideally after each observation. At any stage, the test will return a decision to either continue sampling or terminate and accept one of the specified hypotheses. The seq_ttest() function performs one-sample, two-sample, and paired t-tests for testing one- and two-sided hypotheses (Schnuerch & Erdfelder (2019) <doi:10.1037/met0000234>). The seq_anova() function allows to perform a sequential one-way fixed effects ANOVA (Steinhilber et al. (2023) <doi:10.31234/osf.io/m64ne>). Learn more about the package by using vignettes "browseVignettes(package = "sprtt")" or go to the website <https://meikesteinhilber.github.io/sprtt/>.

r-sumer 1.2.0
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-shiny@1.11.1 r-rlang@1.1.6 r-ragg@1.5.0 r-officer@0.7.1 r-ggplot2@4.0.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sumer
Licenses: GPL 3
Build system: r
Synopsis: Sumerian Cuneiform Text Analysis
Description:

This package provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).

r-soilphysics 5.1
Propagated dependencies: r-shinydashboard@0.7.3 r-shiny@1.11.1 r-rhandsontable@0.3.8 r-mass@7.3-65 r-fields@17.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://arsilva87.github.io/soilphysics/
Licenses: GPL 2+
Build system: r
Synopsis: Soil Physical Analysis
Description:

Basic and model-based soil physical analyses.

r-survawkmt2 1.0.1
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survAWKMT2
Licenses: GPL 2
Build system: r
Synopsis: Two-Sample Tests Based on Differences of Kaplan-Meier Curves
Description:

Tests for equality of two survival functions based on integrated weighted differences of two Kaplan-Meier curves.

r-sigugr 1.0.0
Propagated dependencies: r-terra@1.8-86 r-snakecase@0.11.1 r-sf@1.0-23 r-rpostgis@1.6.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-gdalutilities@1.2.5 r-clc@1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://josesamos.github.io/sigugr/
Licenses: Expat
Build system: r
Synopsis: Workflow for Geographic Data
Description:

Streamlines geographic data transformation, storage and publication, simplifying data preparation and enhancing interoperability across formats and platforms.

r-snsfdatasets 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://enricoschumann.net/R/packages/SNSFdatasets/
Licenses: GPL 3
Build system: r
Synopsis: Download Datasets from the Swiss National Science Foundation (SNF, FNS, SNSF)
Description:

Download and read datasets from the Swiss National Science Foundation (SNF, FNS, SNSF; <https://snf.ch>). The package is lightweight and without dependencies. Downloaded data can optionally be cached, to avoid repeated downloads of the same files. There are also utilities for comparing different versions of datasets, i.e. to report added, removed and changed entries.

r-shinymatrix 0.8.1
Propagated dependencies: r-shiny@1.11.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://inwtlab.github.io/shinyMatrix/
Licenses: Expat
Build system: r
Synopsis: Shiny Matrix Input Field
Description:

This package implements a custom matrix input field.

r-shinyfullscreen 1.1.0
Propagated dependencies: r-shiny@1.11.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/etiennebacher/shinyfullscreen
Licenses: Expat
Build system: r
Synopsis: Display 'HTML' Elements on Full Screen in 'Shiny' Apps
Description:

In Shiny apps, it is sometimes useful to see a plot or a table in full screen. Using Shinyfullscreen', you can easily designate the HTML elements that can be displayed on fullscreen and use buttons to trigger the fullscreen view.

r-segclust2d 0.3.3
Propagated dependencies: r-zoo@1.8-14 r-scales@1.4.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rpatin/segclust2d
Licenses: GPL 3
Build system: r
Synopsis: Bivariate Segmentation/Clustering Methods and Tools
Description:

This package provides two methods for segmentation and joint segmentation/clustering of bivariate time-series. Originally intended for ecological segmentation (home-range and behavioural modes) but easily applied on other series, the package also provides tools for analysing outputs from R packages moveHMM and marcher'. The segmentation method is a bivariate extension of Lavielle's method available in adehabitatLT (Lavielle, 1999 <doi:10.1016/S0304-4149(99)00023-X> and 2005 <doi:10.1016/j.sigpro.2005.01.012>). This method rely on dynamic programming for efficient segmentation. The segmentation/clustering method alternates steps of dynamic programming with an Expectation-Maximization algorithm. This is an extension of Picard et al (2007) <doi:10.1111/j.1541-0420.2006.00729.x> method (formerly available in cghseg package) to the bivariate case. The method is fully described in Patin et al (2018) <doi:10.1101/444794>.

r-sparsepp 1.22
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/greg7mdp/sparsepp
Licenses: Modified BSD
Build system: r
Synopsis: 'Rcpp' Interface to 'sparsepp'
Description:

This package provides interface to sparsepp - fast, memory efficient hash map. It is derived from Google's excellent sparsehash implementation. We believe sparsepp provides an unparalleled combination of performance and memory usage, and will outperform your compiler's unordered_map on both counts. Only Google's dense_hash_map is consistently faster, at the cost of much greater memory usage (especially when the final size of the map is not known in advance).

r-sparr 2.3-16
Propagated dependencies: r-spatstat-utils@3.2-0 r-spatstat-univar@3.1-5 r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat@3.4-1 r-misc3d@0.9-1 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://tilmandavies.github.io/sparr/
Licenses: GPL 2+
Build system: r
Synopsis: Spatial and Spatiotemporal Relative Risk
Description:

This package provides functions to estimate kernel-smoothed spatial and spatio-temporal densities and relative risk functions, and perform subsequent inference. Methodological details can be found in the accompanying tutorial: Davies et al. (2018) <DOI:10.1002/sim.7577>.

r-scoringrules 1.1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/FK83/scoringRules
Licenses: GPL 2+
Build system: r
Synopsis: Scoring Rules for Parametric and Simulated Distribution Forecasts
Description:

Dictionary-like reference for computing scoring rules in a wide range of situations. Covers both parametric forecast distributions (such as mixtures of Gaussians) and distributions generated via simulation. Further details can be found in the package vignettes <doi:10.18637/jss.v090.i12>, <doi:10.18637/jss.v110.i08>.

r-synchwave 1.1.2
Propagated dependencies: r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SynchWave
Licenses: LGPL 2.0+
Build system: r
Synopsis: Synchrosqueezed Wavelet Transform
Description:

The synchrosqueezed wavelet transform is implemented. The package is a translation of MATLAB Synchrosqueezing Toolbox, version 1.1 originally developed by Eugene Brevdo (2012). The C code for curve_ext was authored by Jianfeng Lu, and translated to Fortran by Dongik Jang. Synchrosqueezing is based on the papers: [1] Daubechies, I., Lu, J. and Wu, H. T. (2011) Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool. Applied and Computational Harmonic Analysis, 30. 243-261. [2] Thakur, G., Brevdo, E., Fukar, N. S. and Wu, H-T. (2013) The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications. Signal Processing, 93, 1079-1094.

r-standardlastprofile 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/flrd/standardlastprofile
Licenses: CC0
Build system: r
Synopsis: Data Package for BDEW Standard Load Profiles in Electricity
Description:

Data on standard load profiles from the German Association of Energy and Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.) in a tidy format. The data and methodology are described in VDEW (1999), "Repräsentative VDEW-Lastprofile", <https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf>. The package also offers an interface for generating a standard load profile over a user-defined period. For the algorithm, see VDEW (2000), "Anwendung der Repräsentativen VDEW-Lastprofile step-by-step", <https://www.bdew.de/media/documents/2000131_Anwendung-repraesentativen_Lastprofile-Step-by-step.pdf>.

r-survimchd 0.1.2
Propagated dependencies: r-rjags@4-17 r-r2jags@0.8-9 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=SurviMChd
Licenses: GPL 3
Build system: r
Synopsis: High Dimensional Survival Data Analysis with Markov Chain Monte Carlo
Description:

High dimensional survival data analysis with Markov Chain Monte Carlo(MCMC). Currently supports frailty data analysis. Allows for Weibull and Exponential distribution. Includes function for interval censored data.

r-ssd4mosaic 1.0.4-2
Propagated dependencies: r-shinyjs@2.1.0 r-shinybusy@0.3.3 r-shiny@1.11.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-rhandsontable@0.3.8 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-golem@0.5.1 r-ggplot2@4.0.1 r-fitdistrplus@1.2-4 r-config@0.3.2 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gitlab.in2p3.fr/mosaic-software/mosaic-ssd
Licenses: Expat
Build system: r
Synopsis: Web Application for the SSD Module of the MOSAIC Platform
Description:

Web application using shiny for the SSD (Species Sensitivity Distribution) module of the MOSAIC (MOdeling and StAtistical tools for ecotoxICology) platform. It estimates the Hazardous Concentration for x% of the species (HCx) from toxicity values that can be censored and provides various plotting options for a better understanding of the results. See our companion paper Kon Kam King et al. (2014) <doi:10.48550/arXiv.1311.5772>.

r-statebins 1.4.0
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gitlab.com/hrbrmstr/statebins
Licenses: Expat
Build system: r
Synopsis: Create United States Uniform Cartogram Heatmaps
Description:

The cartogram heatmaps generated by the included methods are an alternative to choropleth maps for the United States and are based on work by the Washington Post graphics department in their report on "The states most threatened by trade" (<http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/>). "State bins" preserve as much of the geographic placement of the states as possible but have the look and feel of a traditional heatmap. Functions are provided that allow for use of a binned, discrete scale, a continuous scale or manually specified colors depending on what is needed for the underlying data.

r-stddiff-spark 1.0
Propagated dependencies: r-tidyr@1.3.1 r-sparklyr@1.9.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/alicja-januszkiewicz/stddiff.spark
Licenses: GPL 3+
Build system: r
Synopsis: Calculate the Standardized Difference for Numeric, Binary and Category Variables in Apache Spark
Description:

This package provides functions to compute standardized differences for numeric, binary, and categorical variables on Apache Spark DataFrames using sparklyr'. The implementation mirrors the methods used in the stddiff package but operates on distributed data. See Zhicheng Du, Yuantao Hao (2022) <doi:10.32614/CRAN.package.stddiff> for reference.

r-survsens 1.1.0
Propagated dependencies: r-survival@3.8-3 r-reshape2@1.4.5 r-metr@0.18.3 r-interp@1.1-6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Rong0707/survSens
Licenses: GPL 2
Build system: r
Synopsis: Sensitivity Analysis with Time-to-Event Outcomes
Description:

This package performs a dual-parameter sensitivity analysis of treatment effect to unmeasured confounding in observational studies with either survival or competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2020) <doi:10.1002/sim.8672>.

r-spectran 1.0.6
Propagated dependencies: r-withr@3.0.2 r-webshot2@0.1.2 r-waiter@0.2.5-1.927501b r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-spscomps@0.3.4.0 r-spacesxyz@1.6-0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinyfeedback@0.4.0 r-shinydashboard@0.7.3 r-shinyalert@3.1.0 r-shiny@1.11.1 r-scales@1.4.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-png@0.1-8 r-patchwork@1.3.2 r-pagedown@0.23 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-htmltools@0.5.8.1 r-gt@1.3.0 r-ggtext@0.1.2 r-ggridges@0.5.7 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-gghighlight@0.5.0 r-dplyr@1.1.4 r-cowplot@1.2.0 r-colorspec@1.8-0 r-chromote@0.5.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/LiTGde/Spectran
Licenses: Expat
Build system: r
Synopsis: Visual and Non-Visual Spectral Analysis of Light
Description:

Analyse light spectra for visual and non-visual (often called melanopic) needs, wrapped up in a Shiny App. Spectran allows for the import of spectra in various CSV forms but also provides a wide range of example spectra and even the creation of own spectral power distributions. The goal of the app is to provide easy access and a visual overview of the spectral calculations underlying common parameters used in the field. It is thus ideal for educational purposes or the creation of presentation ready graphs in lighting research and application. Spectran uses equations and action spectra described in CIE S026 (2018) <doi:10.25039/S026.2018>, DIN/TS 5031-100 (2021) <doi:10.31030/3287213>, and ISO/CIE 23539 (2023) <doi:10.25039/IS0.CIE.23539.2023>.

r-starling 0.6.5
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-reclin2@0.6.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-janitor@2.2.1 r-dplyr@1.1.4 r-digest@0.6.39 r-datawizard@1.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=starling
Licenses: GPL 3+
Build system: r
Synopsis: Link Infectious Disease Cases to Vaccination and Hospitalization Records
Description:

Facilitates probabilistic record linkage between infectious disease surveillance datasets (notifiable disease registers, outbreak line-lists), vaccination registries, and hospitalization records using methods based on Fellegi and Sunter (1969) <doi:10.1080/01621459.1969.10501049> and Sayers et al. (2016) <doi:10.1093/ije/dyv322>. The package provides core functions for data preparation, linkage, and analysis: clean_the_nest() standardizes variable names and formats across heterogeneous datasets; murmuration() performs machine learning-based record linkage using blocking variables and similarity metrics; molting() deidentifies datasets for secure sharing; homing() re-identifies previously deidentified datasets; plumage() identifies and categorizes comorbidities; and preening() creates analysis-ready variables including age categories and temporal groupings. Designed for epidemiological research linking acute and post-acute disease outcomes to vaccination status and healthcare utilization. Supports multiple linkage scenarios including case-to-vaccination, case-to-hospitalization, and event-based vaccination status determination (e.g., outbreak attendees, flight passengers, exposure site visitors).

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