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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-sqn 1.0.6
Propagated dependencies: r-nor1mix@1.3-3 r-mclust@6.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SQN
Licenses: LGPL 2.0+
Build system: r
Synopsis: Subset Quantile Normalization
Description:

Normalization based a subset of negative control probes as described in Subset quantile normalization using negative control features'. Wu Z, Aryee MJ, J Comput Biol. 2010 Oct;17(10):1385-95 [PMID 20976876].

r-streamsampler 0.1.0
Propagated dependencies: r-slider@0.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Kyle-Hurley/streamsampler
Licenses: CC0
Build system: r
Synopsis: Characterize and Subsample Stream Data
Description:

Characterize daily stream discharge and water quality data and subsample water quality data. Provide dates, discharge, and water quality measurements and streamsampler can find gaps, get summary statistics, and subsample according to common stream sampling protocols. Stream sampling protocols are described in Lee et al. (2016) <doi:10.1016/j.jhydrol.2016.08.059> and Lee et al. (2019) <doi:10.3133/sir20195084>.

r-surveygraph 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/surveygraph/surveygraphr
Licenses: Expat
Build system: r
Synopsis: Network Representations of Attitudes
Description:

This package provides a tool for computing network representations of attitudes, extracted from tabular data such as sociological surveys. Development of surveygraph software and training materials was initially funded by the European Union under the ERC Proof-of-concept programme (ERC, Attitude-Maps-4-All, project number: 101069264). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

r-sensmap 0.7
Propagated dependencies: r-shiny@1.11.1 r-reshape2@1.4.5 r-plotly@4.11.0 r-mgcv@1.9-4 r-mcmcpack@1.7-1 r-lattice@0.22-7 r-glmulti@1.0.8 r-ggplot2@4.0.1 r-ggdendro@0.2.0 r-fields@17.1 r-factominer@2.12 r-factoextra@1.0.7 r-doby@4.7.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/IbtihelRebhi/SensMap
Licenses: GPL 2+
Build system: r
Synopsis: Sensory and Consumer Data Mapping
Description:

This package provides Sensory and Consumer Data mapping and analysis <doi:10.14569/IJACSA.2017.081266>. The mapping visualization is made available from several features : options in dimension reduction methods and prediction models ranging from linear to non linear regressions. A smoothed version of the map performed using locally weighted regression algorithm is available. A selection process of map stability is provided. A shiny application is included. It presents an easy GUI for the implemented functions as well as a comparative tool of fit models using several criteria. Basic analysis such as characterization of products, panelists and sessions likewise consumer segmentation are also made available.

r-swpcindex 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SwPcIndex
Licenses: GPL 2+
Build system: r
Synopsis: Computation of Survey Weighted PC Based Composite Index
Description:

An index is created using a mathematical model that transforms multi-dimensional variables into a single value. These variables are often correlated, and while PCA-based indices can address the issue of multicollinearity, they typically do not account for survey weights, which can lead to inaccurate rankings of survey units such as households, districts, or states. To resolve this, the current package facilitates the development of a principal component analysis-based composite index by incorporating survey weights for each sample observation. This ensures the generation of a survey-weighted principal component-based normalized composite index. Additionally, the package provides a normalized principal component-based composite index and ranks the sample observations based on the values of the composite indices. For method details see, Skinner, C. J., Holmes, D. J. and Smith, T. M. F. (1986) <DOI:10.1080/01621459.1986.10478336>, Singh, D., Basak, P., Kumar, R. and Ahmad, T. (2023) <DOI:10.3389/fams.2023.1274530>.

r-soundexbr 1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SoundexBR
Licenses: GPL 2+
Build system: r
Synopsis: Phonetic-Coding for Portuguese
Description:

The SoundexBR package provides an algorithm for decoding names into phonetic codes, as pronounced in Portuguese. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling. The algorithm mainly encodes consonants; a vowel will not be encoded unless it is the first letter. The soundex code resultant consists of a four digits long string composed by one letter followed by three numerical digits: the letter is the first letter of the name, and the digits encode the remaining consonants.

r-simglm 0.8.9
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-future-apply@1.20.0 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/lebebr01/simglm
Licenses: Expat
Build system: r
Synopsis: Simulate Models Based on the Generalized Linear Model
Description:

Simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.

r-soccer 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/ekstroem/socceR
Licenses: GPL 2+
Build system: r
Synopsis: Evaluating Sport Tournament Predictions
Description:

This package provides functions for evaluating tournament predictions, simulating results from individual soccer matches and tournaments. See <http://sandsynligvis.dk/2018/08/03/world-cup-prediction-winners/> for more information.

r-ssmrob 1.0
Propagated dependencies: r-sampleselection@1.2-14 r-robustbase@0.99-6 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=ssmrob
Licenses: GPL 2
Build system: r
Synopsis: Robust Estimation and Inference in Sample Selection Models
Description:

Package provides a set of tools for robust estimation and inference for models with sample selectivity and endogenous treatment model. For details, see Zhelonkin and Ronchetti (2021) <doi:10.18637/jss.v099.i04>.

r-seqkat 0.0.9
Propagated dependencies: r-rcpp@1.1.0 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/TheBoutrosLab/package-SeqKat
Licenses: GPL 2+
Build system: r
Synopsis: Detection of Kataegis
Description:

Kataegis is a localized hypermutation occurring when a region is enriched in somatic SNVs. Kataegis can result from multiple cytosine deaminations catalyzed by the AID/APOBEC family of proteins. This package contains functions to detect kataegis from SNVs in BED format. This package reports two scores per kataegic event, a hypermutation score and an APOBEC mediated kataegic score. Yousif, F. et al.; The Origins and Consequences of Localized and Global Somatic Hypermutation; Biorxiv 2018 <doi:10.1101/287839>.

r-scspatialsim 0.1.3.4
Propagated dependencies: r-tidyr@1.3.1 r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-proxy@0.4-27 r-pbmcapply@1.5.1 r-magrittr@2.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/FridleyLab/scSpatialSIM
Licenses: Expat
Build system: r
Synopsis: Point Pattern Simulator for Spatial Cellular Data
Description:

Single cell resolution data has been valuable in learning about tissue microenvironments and interactions between cells or spots. This package allows for the simulation of this level of data, be it single cell or â spotsâ , in both a univariate (single metric or cell type) and bivariate (2 or more metrics or cell types) ways. As more technologies come to marker, more methods will be developed to derive spatial metrics from the data which will require a way to benchmark methods against each other. Additionally, as the field currently stands, there is not a gold standard method to be compared against. We set out to develop an R package that will allow users to simulate point patterns that can be biologically informed from different tissue domains, holes, and varying degrees of clustering/colocalization. The data can be exported as spatial files and a summary file (like HALO'). <https://github.com/FridleyLab/scSpatialSIM/>.

r-sixsigma 0.11.1
Propagated dependencies: r-xtable@1.8-4 r-testthat@3.3.0 r-scales@1.4.0 r-reshape2@1.4.5 r-nortest@1.0-4 r-lattice@0.22-7 r-ggplot2@4.0.1 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.sixsigmawithr.com/
Licenses: GPL 2+
Build system: r
Synopsis: Six Sigma Tools for Quality Control and Improvement
Description:

This package provides functions and utilities to perform Statistical Analyses in the Six Sigma way. Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control), you can manage several Quality Management studies: Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis, etc. Data frames used in the books "Six Sigma with R" [ISBN 978-1-4614-3652-2] and "Quality Control with R" [ISBN 978-3-319-24046-6], are also included in the package.

r-spooky 1.4.0
Propagated dependencies: r-tictoc@1.2.1 r-scales@1.4.0 r-readr@2.1.6 r-purrr@1.2.0 r-philentropy@0.10.0 r-moments@0.14.1 r-modeest@2.4.0 r-lubridate@1.9.4 r-imputets@3.4 r-greybox@2.0.7 r-ggplot2@4.0.1 r-fastdummies@1.7.5 r-fancova@0.6-1 r-entropy@1.3.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://rpubs.com/giancarlo_vercellino/spooky
Licenses: GPL 3
Build system: r
Synopsis: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling
Description:

Proposes application of spectral analysis and jack-knife resampling for multivariate sequence forecasting. The application allows for a fast random search in a compact space of hyper-parameters composed by Sequence Length and Jack-Knife Leave-N-Out.

r-sankeywheel 0.1.0
Propagated dependencies: r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/czxa/sankeywheel
Licenses: Expat
Build system: r
Synopsis: Create Dependency Wheels and Sankey Diagrams
Description:

By binding R functions and the Highcharts <http://www.highcharts.com/> charting library, sankeywheel package provides a simple way to draw dependency wheels and sankey diagrams.

r-stratpal 0.7.1
Propagated dependencies: r-paleots@0.6.2 r-admtools@0.6.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://mindthegap-erc.github.io/StratPal/
Licenses: FSDG-compatible
Build system: r
Synopsis: Stratigraphic Paleobiology Modeling Pipelines
Description:

The fossil record is a joint expression of ecological, taphonomic, evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012, ISBN:978-0226649382). This package allowing to simulate biological processes in the time domain (e.g., trait evolution, fossil abundance, phylogenetic trees), and examine how their expression in the rock record (stratigraphic domain) is influenced based on age-depth models, ecological niche models, and taphonomic effects. Functions simulating common processes used in modeling trait evolution, biostratigraphy or event type data such as first/last occurrences are provided and can be used standalone or as part of a pipeline. The package comes with example data sets and tutorials in several vignettes, which can be used as a template to set up one's own simulation.

r-seededlda 1.4.3
Dependencies: tbb@2021.6.0
Propagated dependencies: r-testthat@3.3.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-quanteda@4.3.1 r-proxyc@0.5.2 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/koheiw/seededlda
Licenses: GPL 3
Build system: r
Synopsis: Seeded Sequential LDA for Topic Modeling
Description:

Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.

r-seminrextras 0.9.0
Propagated dependencies: r-seminr@2.4.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sem-in-r/seminr
Licenses: GPL 3
Build system: r
Synopsis: Conduct Additional Modeling and Analysis for 'seminr'
Description:

Supplemental functions for estimating and analysing structural equation models including Cross Validated Prediction and Testing (CVPAT, Liengaard et al., 2021 <doi:10.1111/deci.12445>).

r-spikeslab 1.1.6
Propagated dependencies: r-randomforest@4.7-1.2 r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://ishwaran.org/
Licenses: GPL 3+
Build system: r
Synopsis: Prediction and Variable Selection Using Spike and Slab Regression
Description:

Spike and slab for prediction and variable selection in linear regression models. Uses a generalized elastic net for variable selection.

r-srcs 1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://decsai.ugr.es/~pjvi/r-packages.html
Licenses: LGPL 3+
Build system: r
Synopsis: Statistical Ranking Color Scheme for Multiple Pairwise Comparisons
Description:

Implementation of the SRCS method for a color-based visualization of the results of multiple pairwise tests on a large number of problem configurations, proposed in: I.G. del Amo, D.A. Pelta. SRCS: a technique for comparing multiple algorithms under several factors in dynamic optimization problems. In: E. Alba, A. Nakib, P. Siarry (Eds.), Metaheuristics for Dynamic Optimization. Series: Studies in Computational Intelligence 433, Springer, Berlin/Heidelberg, 2012.

r-spectrino 2.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-httpuv@1.6.16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.spectrino.com
Licenses: GPL 2+
Build system: r
Synopsis: Spectra Viewer, Organizer, Data Preparation and Property Blocks
Description:

Spectra viewer, organizer, data preparation and property blocks from within R or stand-alone. Binary (application) part is installed separately using spnInstallApp() from spectrino package.

r-shinynextui 0.1.0
Propagated dependencies: r-shiny-react@0.4.0 r-shiny@1.11.1 r-jsonlite@2.0.0 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://rinterface.github.io/shinyNextUI/
Licenses: Expat
Build system: r
Synopsis: 'HeroUI' 'React' Template for 'shiny' Apps
Description:

This package provides a set of user interface components to create outstanding shiny apps <https://shiny.posit.co/>, with the power of React JavaScript <https://react.dev/>. Seamlessly support dark and light themes, customize CSS with tailwind <https://tailwindcss.com/>.

r-stb 0.6.6
Propagated dependencies: r-vca@1.5.2 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=STB
Licenses: GPL 3+
Build system: r
Synopsis: Simultaneous Tolerance Bounds
Description:

This package provides an implementation of simultaneous tolerance bounds (STB), useful for checking whether a numeric vector fits to a hypothetical null-distribution or not. Furthermore, there are functions for computing STB (bands, intervals) for random variates of linear mixed models fitted with package VCA'. All kinds of, possibly transformed (studentized, standardized, Pearson-type transformed) random variates (residuals, random effects), can be assessed employing STB-methodology.

r-simcomp 3.6
Propagated dependencies: r-mvtnorm@1.3-3 r-multcomp@1.4-29 r-mratios@1.4.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SimComp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Simultaneous Comparisons for Multiple Endpoints
Description:

Simultaneous tests and confidence intervals are provided for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Differences (Hasler and Hothorn, 2011 <doi:10.2202/1557-4679.1258>) or ratios (Hasler and Hothorn, 2012 <doi:10.1080/19466315.2011.633868>) of means can be considered. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008 <doi:10.1002/bimj.200710466>) or covariance matrices (Hasler, 2014 <doi:10.1515/ijb-2012-0015>).

r-sarp-compo 0.1.8
Propagated dependencies: r-igraph@2.2.1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SARP.compo
Licenses: Artistic License 2.0
Build system: r
Synopsis: Network-Based Interpretation of Changes in Compositional Data
Description:

This package provides a set of functions to interpret changes in compositional data based on a network representation of all pairwise ratio comparisons: computation of all pairwise ratio, construction of a p-value matrix of all pairwise tests of these ratios between conditions, conversion of this matrix to a network.

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Total results: 68658