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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-sciplot 1.2-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sciplot
Licenses: GPL 2+
Build system: r
Synopsis: Scientific Graphing Functions for Factorial Designs
Description:

This package provides a collection of functions that creates graphs with error bars for data collected from one-way or higher factorial designs.

r-sand 2.0.0
Propagated dependencies: r-igraphdata@1.0.1 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/kolaczyk/sand
Licenses: GPL 3
Build system: r
Synopsis: Statistical Analysis of Network Data with R, 2nd Edition
Description:

Data sets and code blocks for the book Statistical Analysis of Network Data with R, 2nd Edition'.

r-sur 1.0.4
Propagated dependencies: r-learnr@0.11.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sur
Licenses: GPL 2+
Build system: r
Synopsis: Companion to "Statistics Using R: An Integrative Approach"
Description:

Access to the datasets and many of the functions used in "Statistics Using R: An Integrative Approach". These datasets include a subset of the National Education Longitudinal Study, the Framingham Heart Study, as well as several simulated datasets used in the examples throughout the textbook. The functions included in the package reproduce some of the functionality of Stata that is not directly available in R'. The package also contains a tutorial on basic data frame management, including how to handle missing data.

r-sirthresholded 1.0.2
Propagated dependencies: r-strucchange@1.5-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://clement-w.github.io/SIRthresholded/
Licenses: GPL 2+
Build system: r
Synopsis: Sliced Inverse Regression with Thresholding
Description:

This package implements a thresholded version of the Sliced Inverse Regression method (Li, K. C. (1991) <doi:10.2307/2290563>), which allows to do variable selection.

r-spgwr 0.6-37
Propagated dependencies: r-spdata@2.3.4 r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rsbivand/spgwr/
Licenses: GPL 2+
Build system: r
Synopsis: Geographically Weighted Regression
Description:

This package provides functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.

r-stratigrapher 1.3.1
Propagated dependencies: r-xml@3.99-0.20 r-stringr@1.6.0 r-shiny@1.11.1 r-reshape@0.8.10 r-dplyr@1.1.4 r-diagram@1.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=StratigrapheR
Licenses: GPL 3
Build system: r
Synopsis: Integrated Stratigraphy
Description:

Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. When using for publication please cite Sebastien Wouters, Anne-Christine Da Silva, Frederic Boulvain and Xavier Devleeschouwer, 2021. The R Journal 13:2, 153-178. The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.

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-ssanv 1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ssanv
Licenses: GPL 3
Build system: r
Synopsis: Sample Size Adjusted for Nonadherence or Variability of Input Parameters
Description:

This package provides a set of functions to calculate sample size for two-sample difference in means tests. Does adjustments for either nonadherence or variability that comes from using data to estimate parameters.

r-spte2m 1.0.3
Propagated dependencies: r-rmarkdown@2.30 r-mass@7.3-65 r-maps@3.4.3 r-mapproj@1.2.12 r-knitr@1.50 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpTe2M
Licenses: GPL 3+
Build system: r
Synopsis: Nonparametric Modeling and Monitoring of Spatio-Temporal Data
Description:

Spatio-temporal data have become increasingly popular in many research fields. Such data often have complex structures that are difficult to describe and estimate. This package provides reliable tools for modeling complicated spatio-temporal data. It also includes tools of online process monitoring to detect possible change-points in a spatio-temporal process over time. More specifically, the package implements the spatio-temporal mean estimation procedure described in Yang and Qiu (2018) <doi:10.1002/sim.7622>, the spatio-temporal covariance estimation procedure discussed in Yang and Qiu (2019) <doi:10.1002/sim.8315>, the three-step method for the joint estimation of spatio-temporal mean and covariance functions suggested by Yang and Qiu (2022) <doi:10.1007/s10463-021-00787-2>, the spatio-temporal disease surveillance method discussed in Qiu and Yang (2021) <doi:10.1002/sim.9150> that can accommodate the covariate effect, the spatial-LASSO-based process monitoring method proposed by Qiu and Yang (2023) <doi:10.1080/00224065.2022.2081104>, and the online spatio-temporal disease surveillance method described in Yang and Qiu (2020) <doi:10.1080/24725854.2019.1696496>.

r-spherepc 0.1.7
Propagated dependencies: r-sphereplot@1.5.1 r-rgl@1.3.31 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spherepc
Licenses: GPL 3+
Build system: r
Synopsis: Spherical Principal Curves
Description:

Fitting dimension reduction methods to data lying on two-dimensional sphere. This package provides principal geodesic analysis, principal circle, principal curves proposed by Hauberg, and spherical principal curves. Moreover, it offers the method of locally defined principal geodesics which is underway. The detailed procedures are described in Lee, J., Kim, J.-H. and Oh, H.-S. (2021) <doi:10.1109/TPAMI.2020.3025327>. Also see Kim, J.-H., Lee, J. and Oh, H.-S. (2020) <arXiv:2003.02578>.

r-sfdct 0.3.0
Propagated dependencies: r-tibble@3.3.0 r-sp@2.2-0 r-sf@1.0-23 r-rtriangle@1.6-0.15 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/hypertidy/sfdct
Licenses: FSDG-compatible
Build system: r
Synopsis: Constrained Triangulation for Simple Features
Description:

Build a constrained high quality Delaunay triangulation from simple features objects, applying constraints based on input line segments, and triangle properties including maximum area, minimum internal angle. The triangulation code in RTriangle uses the method of Cheng, Dey and Shewchuk (2012, ISBN:9781584887300). For a low-dependency alternative with low-quality path-based constrained triangulation see <https://CRAN.R-project.org/package=decido> and for high-quality configurable triangulation see <https://github.com/hypertidy/anglr>. Also consider comparison with the GEOS lib which since version 3.10.0 includes a low quality polygon triangulation method that starts with ear clipping and refines to Delaunay.

r-seas 0.7-0
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mwtoews/seas
Licenses: GPL 2+
Build system: r
Synopsis: Seasonal Analysis and Graphics, Especially for Climatology
Description:

Capable of deriving seasonal statistics, such as "normals", and analysis of seasonal data, such as departures. This package also has graphics capabilities for representing seasonal data, including boxplots for seasonal parameters, and bars for summed normals. There are many specific functions related to climatology, including precipitation normals, temperature normals, cumulative precipitation departures and precipitation interarrivals. However, this package is designed to represent any time-varying parameter with a discernible seasonal signal, such as found in hydrology and ecology.

r-softclustering 2.1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SoftClustering
Licenses: GPL 2
Build system: r
Synopsis: Soft Clustering Algorithms
Description:

It contains soft clustering algorithms, in particular approaches derived from rough set theory: Lingras & West original rough k-means, Peters refined rough k-means, and PI rough k-means. It also contains classic k-means and a corresponding illustrative demo.

r-scribe 0.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://jmbarbone.github.io/scribe/
Licenses: Expat
Build system: r
Synopsis: Command Argument Parsing
Description:

This package provides a base dependency solution with basic argument parsing for use with Rscript'.

r-scitb 0.2.2
Propagated dependencies: r-stringi@1.8.7 r-reshape2@1.4.5 r-nortest@1.0-4 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scitb
Licenses: GPL 3
Build system: r
Synopsis: Provides Some Useful Functions for Making Statistical Tables
Description:

You can use the functions provided by the package to make various statistical tables, such as baseline data tables. Creates Table 1', i.e., a description of the baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. This method was described by Mary L McHugh (2013) <doi:10.11613/bm.2013.018>.

r-safetygraphics 2.1.1
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-stringr@1.6.0 r-sortable@0.6.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-safetydata@1.0.0 r-safetycharts@0.3.0 r-rlang@1.1.6 r-rclipboard@0.2.1 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-dt@0.34.0 r-dplyr@1.1.4 r-datamods@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SafetyGraphics/safetyGraphics
Licenses: Expat
Build system: r
Synopsis: Interactive Graphics for Monitoring Clinical Trial Safety
Description:

This package provides a framework for evaluation of clinical trial safety. Users can interactively explore their data using the included Shiny application.

r-sglr 0.8
Propagated dependencies: r-shiny@1.11.1 r-rlang@1.1.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sglr
Licenses: GPL 2+
Build system: r
Synopsis: Sequential Generalized Likelihood Ratio Decision Boundaries Proposed by Shih, Lai, Heyse and Chen (2010, <doi:10.1002/Sim.4036>)
Description:

We provide functions for computing the decision boundaries for pre-licensure vaccine trials using the Generalized Likelihood Ratio tests proposed by Shih, Lai, Heyse and Chen (2010, <doi:10.1002/sim.4036>).

r-supportr 1.6.0
Propagated dependencies: r-vegan@2.7-2 r-tidyr@1.3.1 r-stringr@1.6.0 r-stringi@1.8.7 r-scales@1.4.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-googledrive@2.1.2 r-gh@1.5.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/njlyon0/supportR
Licenses: Expat
Build system: r
Synopsis: Support Functions for Wrangling and Visualization
Description:

Suite of helper functions for data wrangling and visualization. The only theme for these functions is that they tend towards simple, short, and narrowly-scoped. These functions are built for tasks that often recur but are not large enough in scope to warrant an ecosystem of interdependent functions.

r-sanzo 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jmaasch/sanzo
Licenses: GPL 3
Build system: r
Synopsis: Color Palettes Based on the Works of Sanzo Wada
Description:

Inspired by the art and color research of Sanzo Wada (1883-1967), his "Dictionary Of Color Combinations" (2011, ISBN:978-4861522475), and the interactive site by Dain M. Blodorn Kim <https://github.com/dblodorn/sanzo-wada>, this package brings Wada's color combinations to R for easy use in data visualizations. This package honors 60 of Wada's color combinations: 20 duos, 20 trios, and 20 quads.

r-snapkrig 0.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/deankoch/snapKrig
Licenses: Expat
Build system: r
Synopsis: Fast Kriging and Geostatistics on Grids with Kronecker Covariance
Description:

Geostatistical modeling and kriging with gridded data using spatially separable covariance functions (Kronecker covariances). Kronecker products in these models provide shortcuts for solving large matrix problems in likelihood and conditional mean, making snapKrig computationally efficient with large grids. The package supplies its own S3 grid object class, and a host of methods including plot, print, Ops, square bracket replace/assign, and more. Our computational methods are described in Koch, Lele, Lewis (2020) <doi:10.7939/r3-g6qb-bq70>.

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
Build system: r
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-spatialwidget 0.2.6
Propagated dependencies: r-sfheaders@0.4.5 r-rcpp@1.1.0 r-rapidjsonr@1.2.1 r-jsonify@1.2.3 r-interleave@0.1.2 r-geometries@0.2.5 r-geojsonsf@2.0.5 r-colourvalues@0.3.11 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://symbolixau.github.io/spatialwidget/articles/spatialwidget.html
Licenses: Expat
Build system: r
Synopsis: Formats Spatial Data for Use in Htmlwidgets
Description:

Many packages use htmlwidgets <https://CRAN.R-project.org/package=htmlwidgets> for interactive plotting of spatial data. This package provides functions for converting R objects, such as simple features, into structures suitable for use in htmlwidgets mapping libraries.

r-singlercapture 1.0.0
Propagated dependencies: r-sandwich@3.1-1 r-mathjaxr@1.8-0 r-lamw@2.2.5 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://github.com/ncn-foreigners/singleRcapture
Licenses: Expat
Build system: r
Synopsis: Single-Source Capture-Recapture Models
Description:

Implementation of single-source capture-recapture methods for population size estimation using zero-truncated, zero-one truncated and zero-truncated one-inflated Poisson, Geometric and Negative Binomial regression as well as Zelterman's and Chao's regression. Package includes point and interval estimators for the population size with variances estimated using analytical or bootstrap method. Details can be found in: van der Heijden et all. (2003) <doi:10.1191/1471082X03st057oa>, Böhning and van der Heijden (2019) <doi:10.1214/18-AOAS1232>, Böhning et al. (2020) Capture-Recapture Methods for the Social and Medical Sciences or Böhning and Friedl (2021) <doi:10.1007/s10260-021-00556-8>.

r-sctenifoldknk 1.0.3
Propagated dependencies: r-sctenifoldnet@1.3 r-reshape2@1.4.5 r-pbapply@1.7-4 r-matrix@1.7-4 r-mass@7.3-65 r-igraph@2.2.1 r-enrichr@3.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/cailab-tamu/scTenifoldKnk
Licenses: GPL 2+
Build system: r
Synopsis: In-Silico Knockout Experiments from Single-Cell Gene Regulatory Networks
Description:

This package provides a workflow based on scTenifoldNet to perform in-silico knockout experiments using single-cell RNA sequencing (scRNA-seq) data from wild-type (WT) control samples as input. First, the package constructs a single-cell gene regulatory network (scGRN) and knocks out a target gene from the adjacency matrix of the WT scGRN by setting the geneâ s outdegree edges to zero. Then, it compares the knocked out scGRN with the WT scGRN to identify differentially regulated genes, called virtual-knockout perturbed genes, which are used to assess the impact of the gene knockout and reveal the geneâ s function in the analyzed cells.

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