_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-shinyproxylogs 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://tsenegas.github.io/shinyproxyLogs/
Licenses: Expat
Synopsis: Tools for Analyzing 'ShinyProxy' Containers Logs
Description:

This package provides functions to parse and analyze logs generated by ShinyProxy containers. It extracts metadata from log file names, reads log contents, and computes summary statistics (such as the total number of lines and lines containing error messages), facilitating efficient monitoring and debugging of ShinyProxy deployments.

r-samplesizediagnostics 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SampleSizeDiagnostics
Licenses: GPL 3
Synopsis: Choosing Sample Size for Evaluating a Diagnostic Test
Description:

Calculates the sample size needed for evaluating a diagnostic test based on sensitivity, specificity, prevalence, and desired precision. Based on Buderer (1996) <doi:10.1111/j.1553-2712.1996.tb03538.x>.

r-simodels 0.2.0
Propagated dependencies: r-sf@1.0-23 r-rlang@1.1.6 r-od@0.5.1 r-geodist@0.1.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/robinlovelace/simodels
Licenses: AGPL 3+
Synopsis: Flexible Framework for Developing Spatial Interaction Models
Description:

Develop spatial interaction models (SIMs). SIMs predict the amount of interaction, for example number of trips per day, between geographic entities representing trip origins and destinations. Contains functions for creating origin-destination datasets from geographic input datasets and calculating movement between origin-destination pairs with constrained, production-constrained, and attraction-constrained models (Wilson 1979) <doi:10.1068/a030001>.

r-smoothmest 0.1-3
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.unibo.it/sitoweb/christian.hennig/en
Licenses: GPL 2+ GPL 3+
Synopsis: Smoothed M-Estimators for 1-Dimensional Location
Description:

Some M-estimators for 1-dimensional location (Bisquare, ML for the Cauchy distribution, and the estimators from application of the smoothing principle introduced in Hampel, Hennig and Ronchetti (2011) to the above, the Huber M-estimator, and the median, main function is smoothm), and Pitman estimator.

r-simmetric 0.1.1
Propagated dependencies: r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simMetric
Licenses: Expat
Synopsis: Metrics (with Uncertainty) for Simulation Studies that Evaluate Statistical Methods
Description:

Allows users to quickly apply individual or multiple metrics to evaluate Monte Carlo simulation studies.

r-stabilityapp 0.1.0
Propagated dependencies: r-stability@0.6.0 r-shinydashboardplus@2.0.6 r-shinybs@0.61.1 r-shiny@1.11.1 r-patchwork@1.3.2 r-gridextra@2.3 r-dt@0.34.0 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=StabilityApp
Licenses: GPL 3
Synopsis: Stability Analysis App for GEI in Multi-Environment Trials
Description:

This package provides tools for Genotype by Environment Interaction (GEI) analysis, using statistical models and visualizations to assess genotype performance across environments. It helps researchers explore interaction effects, stability, and adaptability in multi-environment trials, identifying the best-performing genotypes in different conditions. Which Win Where!

r-scoringutils 2.1.2
Propagated dependencies: r-scoringrules@1.1.3 r-purrr@1.2.0 r-metrics@0.1.4 r-ggplot2@4.0.1 r-data-table@1.17.8 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://doi.org/10.48550/arXiv.2205.07090
Licenses: Expat
Synopsis: Utilities for Scoring and Assessing Predictions
Description:

Facilitate the evaluation of forecasts in a convenient framework based on data.table. It allows user to to check their forecasts and diagnose issues, to visualise forecasts and missing data, to transform data before scoring, to handle missing forecasts, to aggregate scores, and to visualise the results of the evaluation. The package mostly focuses on the evaluation of probabilistic forecasts and allows evaluating several different forecast types and input formats. Find more information about the package in the Vignettes as well as in the accompanying paper, <doi:10.48550/arXiv.2205.07090>.

r-siland 3.0.2
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23 r-reshape2@1.4.5 r-raster@3.6-32 r-lme4@1.1-37 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-fields@17.1 r-fasterize@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=siland
Licenses: GPL 2+ FSDG-compatible
Synopsis: Spatial Influence of Landscape
Description:

Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.

r-sugrrants 0.2.9
Propagated dependencies: r-rlang@1.1.6 r-lubridate@1.9.4 r-gtable@0.3.6 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://pkg.earo.me/sugrrants/
Licenses: GPL 3+
Synopsis: Supporting Graphs for Analysing Time Series
Description:

This package provides ggplot2 graphics for analysing time series data. It aims to fit into the tidyverse and grammar of graphics framework for handling temporal data.

r-survobj 3.1.1
Propagated dependencies: r-tidyr@1.3.1 r-survival@3.8-3 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://johnaponte.github.io/survobj/
Licenses: GPL 3+
Synopsis: Objects to Simulate Survival Times
Description:

Generate objects that simulate survival times. Random values for the distributions are generated using the method described by Bender (2003) <https://epub.ub.uni-muenchen.de/id/eprint/1716> and Leemis (1987) in Operations Research, 35(6), 892รข 894.

r-shark4r 1.0.2
Propagated dependencies: r-worrms@0.4.3 r-vroom@1.6.6 r-tidyr@1.3.1 r-terra@1.8-86 r-stringi@1.8.7 r-sp@2.2-0 r-sf@1.0-23 r-rlang@1.1.6 r-readxl@1.4.5 r-readr@2.1.6 r-purrr@1.2.0 r-lifecycle@1.0.4 r-leaflet@2.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sharksmhi.github.io/SHARK4R/
Licenses: Expat
Synopsis: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Description:

This package provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the SHARK database <https://shark.smhi.se/en/>, with additional API support for Nordic Microalgae <https://nordicmicroalgae.org/>, Dyntaxa <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, AlgaeBase <https://www.algaebase.org>, OBIS xylookup web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.

r-shinyanimate 0.4.0
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Swechhya/shinyanimate
Licenses: Expat
Synopsis: Animation for 'shiny' Elements
Description:

An extension of animate.css that allows user to easily add animations to any UI element in shiny app using the elements id.

r-spatialrisk 0.7.3
Propagated dependencies: r-viridis@0.6.5 r-units@1.0-0 r-tmap@4.2 r-terra@1.8-86 r-sf@1.0-23 r-rlang@1.1.6 r-rcppprogress@0.4.2 r-rcpp@1.1.0 r-mapview@2.11.4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-fs@1.6.6 r-dplyr@1.1.4 r-data-table@1.17.8 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mharinga/spatialrisk
Licenses: GPL 2+
Synopsis: Calculating Spatial Risk
Description:

This package provides methods for spatial risk calculations, focusing on efficient determination of the sum of observations within a circle of a given radius. These methods are particularly relevant for applications such as insurance, where recent European Commission regulations require the calculation of the maximum insured value of fire risk policies for all buildings that are partly or fully located within a 200 m radius. The underlying problem is described by Church (1974) <doi:10.1007/BF01942293>.

r-samon 4.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=samon
Licenses: GPL 2
Synopsis: Sensitivity Analysis for Missing Data
Description:

In a clinical trial with repeated measures designs, outcomes are often taken from subjects at fixed time-points. The focus of the trial may be to compare the mean outcome in two or more groups at some pre-specified time after enrollment. In the presence of missing data auxiliary assumptions are necessary to perform such comparisons. One commonly employed assumption is the missing at random assumption (MAR). The samon package allows the user to perform a (parameterized) sensitivity analysis of this assumption. In particular it can be used to examine the sensitivity of tests in the difference in outcomes to violations of the MAR assumption. The sensitivity analysis can be performed under two scenarios, a) where the data exhibit a monotone missing data pattern (see the samon() function), and, b) where in addition to a monotone missing data pattern the data exhibit intermittent missing values (see the samonIM() function).

r-scriptloc 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scriptloc
Licenses: Expat
Synopsis: Get the Location of the R Script that is Being Sourced/Executed
Description:

This package provides functions to retrieve the location of R scripts loaded through the source() function or run from the command line using the Rscript command. This functionality is analogous to the Bash shell's $BASH_SOURCE[0]. Users can first set the project root's path relative to the script path and then all subsequent paths relative to the root. This system ensures that all paths lead to the same location regardless of where any script is executed/loaded from without resorting to the use of setwd() at the top of the scripts.

r-scatterbar 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-magrittr@2.0.4 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://github.com/JEFworks-Lab/scatterbar
Licenses: GPL 3
Synopsis: Scattered Stacked Bar Chart Plots
Description:

This package provides a powerful and flexible tool for visualizing proportional data across spatially resolved contexts. By combining the concepts of scatter plots and stacked bar charts, scatterbar allows users to create scattered bar chart plots, which effectively display the proportions of different categories at each (x, y) location. This visualization is particularly useful for applications where understanding the distribution of categories across spatial coordinates is essential. This package features automatic determination of optimal scaling factors based on data, customizable scaling and padding options for both x and y axes, flexibility to specify custom colors for each category, options to customize the legend title, and integration with ggplot2 for robust and high-quality visualizations. For more details, see Velazquez et al. (2024) <doi:10.1101/2024.08.14.606810>.

r-silggm 1.0.0
Propagated dependencies: r-reshape@0.8.10 r-rcpp@1.1.0 r-mass@7.3-65 r-glasso@1.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SILGGM
Licenses: GPL 2+
Synopsis: Statistical Inference of Large-Scale Gaussian Graphical Model in Gene Networks
Description:

This package provides a general framework to perform statistical inference of each gene pair and global inference of whole-scale gene pairs in gene networks using the well known Gaussian graphical model (GGM) in a time-efficient manner. We focus on the high-dimensional settings where p (the number of genes) is allowed to be far larger than n (the number of subjects). Four main approaches are supported in this package: (1) the bivariate nodewise scaled Lasso (Ren et al (2015) <doi:10.1214/14-AOS1286>) (2) the de-sparsified nodewise scaled Lasso (Jankova and van de Geer (2017) <doi:10.1007/s11749-016-0503-5>) (3) the de-sparsified graphical Lasso (Jankova and van de Geer (2015) <doi:10.1214/15-EJS1031>) (4) the GGM estimation with false discovery rate control (FDR) using scaled Lasso or Lasso (Liu (2013) <doi:10.1214/13-AOS1169>). Windows users should install Rtools before the installation of this package.

r-ship 2.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/vguillemot/SHIP
Licenses: GPL 2+
Synopsis: Shrinkage Covariance Incorporating Prior Knowledge
Description:

This package implements estimation methods for shrinkage covariance matrices using user-specified covariance targets. The covariance target is a structured matrix towards which the unbiased sample covariance is shrunk, optionally incorporating prior knowledge. Shrinkage intensity is computed analytically. The method is described and applied to microarray gene expression data in Jelizarow et al. (2010) <doi:10.1093/bioinformatics/btq323>.

r-sentinmixt 1.0.0
Propagated dependencies: r-zipfr@0.6-70 r-withr@3.0.2 r-tsdist@3.7.1 r-tidyr@1.3.1 r-snow@0.4-4 r-rlist@0.4.6.2 r-mclust@6.1.2 r-foreach@1.5.2 r-expint@0.1-9 r-dosnow@1.0.20 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=SenTinMixt
Licenses: GPL 3+
Synopsis: Parsimonious Mixtures of MSEN and MTIN Distributions
Description:

This package implements parsimonious mixtures of MSEN and MTIN distributions via expectation- maximization based algorithms for model-based clustering. For each mixture component, parsimony is reached via the eigen-decomposition of the scale matrices and by imposing a constraint on the tailedness parameter. This produces a family of 28 parsimonious mixture models for each distribution.

r-statdecider 0.1.6
Propagated dependencies: r-stringr@1.6.0 r-ggplot2@4.0.1 r-effectsize@1.0.1 r-dplyr@1.1.4 r-agricolae@1.3-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=statdecideR
Licenses: Expat
Synopsis: Automated Statistical Analysis and Plotting with CLD
Description:

This package provides a lightweight tool that provides a reproducible workflow for selecting and executing appropriate statistical analysis in one-way or two-way experimental designs. The package automatically checks for data normality, conducts parametric (ANOVA) or non-parametric (Kruskal-Wallis) tests, performs post-hoc comparisons with Compact Letter Displays (CLD), and generates publication-ready boxplots, faceted plots, and heatmaps. It is designed for researchers seeking fast, automated statistical summaries and visualization. Based on established statistical methods including Shapiro and Wilk (1965) <doi:10.2307/2333709>, Kruskal and Wallis (1952) <doi:10.1080/01621459.1952.10483441>, Tukey (1949) <doi:10.2307/3001913>, Fisher (1925) <ISBN:0050021702>, and Wickham (2016) <ISBN:978-3-319-24277-4>.

r-sanfranbeachwater 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-rvest@1.0.5 r-readr@2.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 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=SanFranBeachWater
Licenses: Expat
Synopsis: Downloads and Tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program Data
Description:

Downloads and tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program data. Data sets can be downloaded per beach, or the raw data can be downloaded. See <https://sfwater.org/cfapps/lims/beachmain1.cfm>.

r-ssym 1.5.8
Propagated dependencies: r-survival@3.8-3 r-sandwich@3.1-1 r-numderiv@2016.8-1.1 r-normalp@0.7.2.1 r-gigrvg@0.8 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ssym
Licenses: GPL 2 GPL 3
Synopsis: Fitting Semi-Parametric log-Symmetric Regression Models
Description:

Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.

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+
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-slpreselection 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Amalan-ConStat/SLPresElection
Licenses: Expat
Synopsis: Presidential Election Data of "Sri Lanka" from 1982 to 2015
Description:

Presidential Election data of "Sri Lanka"" is stored in Pdf files, through Pdf scraping they are converted into data-frames and stored in this R package.

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