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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-spatialprobit 1.0.4
Propagated dependencies: r-tmvtnorm@1.7 r-spdep@1.4-1 r-spatialreg@1.4-2 r-mvtnorm@1.3-3 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Probit Models
Description:

This package provides a collection of methods for the Bayesian estimation of Spatial Probit, Spatial Ordered Probit and Spatial Tobit Models. Original implementations from the works of LeSage and Pace (2009, ISBN: 1420064258) were ported and adjusted for R, as described in Wilhelm and de Matos (2013) <doi:10.32614/RJ-2013-013>.

r-spheresmooth 0.1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://kybak90.github.io/spheresmooth/
Licenses: GPL 2+
Build system: r
Synopsis: Piecewise Geodesic Smoothing for Spherical Data
Description:

Fitting a smooth path to a given set of noisy spherical data observed at known time points. It implements a piecewise geodesic curve fitting method on the unit sphere based on a velocity-based penalization scheme. The proposed approach is implemented using the Riemannian block coordinate descent algorithm. To understand the method and algorithm, one can refer to Bak, K. Y., Shin, J. K., & Koo, J. Y. (2023) <doi:10.1080/02664763.2022.2054962> for the case of order 1. Additionally, this package includes various functions necessary for handling spherical data.

r-shinyratings 0.1.0
Propagated dependencies: 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://cran.r-project.org/package=shinyRatings
Licenses: Expat
Build system: r
Synopsis: An Intuitive Way of Providing Star Rating in a 'shiny' App
Description:

This package provides a simple interface to integrate star ratings into your shiny apps. It can be used for customer feedback systems, user reviews, or any application that requires user ratings. shinyRatings offers a straightforward and customisable solution that enhances user engagement and facilitates valuable feedback collection.

r-spconf 1.0.1
Propagated dependencies: r-mgcv@1.9-4 r-flexclust@1.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spconf
Licenses: GPL 3
Build system: r
Synopsis: Computing Scales of Spatial Smoothing for Confounding Adjustment
Description:

Computes the effective range of a smoothing matrix, which is a measure of the distance to which smoothing occurs. This is motivated by the application of spatial splines for adjusting for unmeasured spatial confounding in regression models, but the calculation of effective range can be applied to smoothing matrices in other contexts. For algorithmic details, see Rainey and Keller (2024) "spconfShiny: an R Shiny application..." <doi:10.1371/journal.pone.0311440> and Keller and Szpiro (2020) "Selecting a Scale for Spatial Confounding Adjustment" <doi:10.1111/rssa.12556>.

r-sensitivitycalibration 0.0.1
Propagated dependencies: r-stringi@1.8.7 r-splitstackshape@1.4.8 r-relaimpo@2.2-7 r-plotly@4.11.0 r-ggrepel@0.9.6 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=sensitivityCalibration
Licenses: Expat
Build system: r
Synopsis: Calibrated Sensitivity Analysis for Matched Observational Studies
Description:

This package implements the calibrated sensitivity analysis approach for matched observational studies. Our sensitivity analysis framework views matched sets as drawn from a super-population. The unmeasured confounder is modeled as a random variable. We combine matching and model-based covariate-adjustment methods to estimate the treatment effect. The hypothesized unmeasured confounder enters the picture as a missing covariate. We adopt a state-of-art Expectation Maximization (EM) algorithm to handle this missing covariate problem in generalized linear models (GLMs). As our method also estimates the effect of each observed covariate on the outcome and treatment assignment, we are able to calibrate the unmeasured confounder to observed covariates. Zhang, B., Small, D. S. (2018). <arXiv:1812.00215>.

r-sbi 0.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SBI
Licenses: GPL 3
Build system: r
Synopsis: Simple Blinding Index for Randomized Controlled Trials
Description:

Computes a simple blinding index for randomized controlled trials introduced in Petroff, Bacak, Dagres, Dilk, Wachter: A simple blinding index for randomized controlled trials. Contemp Clin Trials Commun. 2024 Nov 26;42:101393. <doi:10.1016/j.conctc.2024.101393>. PMID: 39686958.

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-stihc 0.1.0
Propagated dependencies: r-mclust@6.1.2 r-fdapde@1.1-21 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stIHC
Licenses: Expat
Build system: r
Synopsis: Spatial Transcriptomics Iterative Hierarchical Clustering
Description:

Spatial transcriptomics iterative hierarchical clustering ('stIHC'), is a method for identifying spatial gene co-expression modules, defined as groups of genes with shared spatial expression patterns. The method is applicable across spatial transcriptomics technologies with differing spatial resolution, and provides a framework for investigating the spatial organisation of gene expression in tissues. For further details, see Higgins C., Li J.J., Carey M. <doi:10.1002/qub2.70011>.

r-scoreeb 0.1.1
Propagated dependencies: 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=ScoreEB
Licenses: GPL 3
Build system: r
Synopsis: Score Test Integrated with Empirical Bayes for Association Study
Description:

Perform association test within linear mixed model framework using score test integrated with Empirical Bayes for genome-wide association study. Firstly, score test was conducted for each marker under linear mixed model framework, taking into account the genetic relatedness and population structure. And then all the potentially associated markers were selected with a less stringent criterion. Finally, all the selected markers were placed into a multi-locus model to identify the true quantitative trait nucleotide.

r-splitselect 1.0.3
Propagated dependencies: r-multicool@1.0.1 r-glmnet@4.1-10 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://cran.r-project.org/package=splitSelect
Licenses: GPL 2+
Build system: r
Synopsis: Best Split Selection Modeling for Low-Dimensional Data
Description:

This package provides functions to generate or sample from all possible splits of features or variables into a number of specified groups. Also computes the best split selection estimator (for low-dimensional data) as defined in Christidis, Van Aelst and Zamar (2019) <arXiv:1812.05678>.

r-skiftitools 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-s2dv@2.2.1 r-rvcg@0.25 r-rnifti@1.8.0 r-rmarchingcubes@0.1.4 r-rgl@1.3.31 r-r-utils@2.13.0 r-png@0.1-8 r-oce@1.8-3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/haanme/skiftiTools
Licenses: GPL 3
Build system: r
Synopsis: Tools and Operations for Reading, Writing, Viewing, and Manipulating SKIFTI Files
Description:

SKIFTI files contain brain imaging data in coordinates across Tract Based Spatial Statistics (TBSS) skeleton, which represent the brain white matter intensity values. skiftiTools provides a unified environment for reading, writing, visualizing and manipulating SKIFTI-format data. It supports the "subsetting", "concatenating", and using data as data.frame for R statistical functions. The SKIFTI data is structured for convenient access to the data and metadata, and includes support for visualizations. For more information see Merisaari et al. (2024) <doi:10.57736/87d2-0608>.

r-ssvs 2.1.0
Propagated dependencies: r-rlang@1.1.6 r-magrittr@2.0.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-checkmate@2.3.3 r-boomspikeslab@1.2.7 r-bayestestr@0.17.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sabainter/SSVS
Licenses: GPL 3
Build system: r
Synopsis: Functions for Stochastic Search Variable Selection (SSVS)
Description:

This package provides functions for performing stochastic search variable selection (SSVS) for binary and continuous outcomes and visualizing the results. SSVS is a Bayesian variable selection method used to estimate the probability that individual predictors should be included in a regression model. Using MCMC estimation, the method samples thousands of regression models in order to characterize the model uncertainty regarding both the predictor set and the regression parameters. For details see Bainter, McCauley, Wager, and Losin (2020) Improving practices for selecting a subset of important predictors in psychology: An application to predicting pain, Advances in Methods and Practices in Psychological Science 3(1), 66-80 <DOI:10.1177/2515245919885617>.

r-semantic-assets 1.1.0
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/Appsilon/semantic.assets
Licenses: LGPL 3
Build system: r
Synopsis: Assets for 'shiny.semantic'
Description:

Style sheets and JavaScript assets for shiny.semantic package.

r-sorptionanalysis 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SorptionAnalysis
Licenses: GPL 2
Build system: r
Synopsis: Static Adsorption Experiment Plotting and Analysis
Description:

This package provides tools to efficiently analyze and visualize laboratory data from aqueous static adsorption experiments. The package provides functions to plot Langmuir, Freundlich, and Temkin isotherms and functions to determine the statistical conformity of data points to the Langmuir, Freundlich, and Temkin adsorption models through statistical characterization of the isothermic least squares regressions lines. Scientific Reference: Dada, A.O, Olalekan, A., Olatunya, A. (2012) <doi:10.9790/5736-0313845>.

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-snapshot 0.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=snapshot
Licenses: GPL 2
Build system: r
Synopsis: Gadget N-body cosmological simulation code snapshot I/O utilities
Description:

This package provides functions for reading and writing Gadget N-body snapshots. The Gadget code is popular in astronomy for running N-body / hydrodynamical cosmological and merger simulations. To find out more about Gadget see the main distribution page at www.mpa-garching.mpg.de/gadget/.

r-serolyzer 1.4.1
Propagated dependencies: r-svglite@2.2.2 r-stringr@1.6.0 r-stringi@1.8.7 r-scales@1.4.0 r-rlang@1.1.6 r-readxl@1.4.5 r-r6@2.6.1 r-r-utils@2.13.0 r-png@0.1-8 r-patchwork@1.3.2 r-nplr@0.1-8 r-lubridate@1.9.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-fs@1.6.6 r-dplyr@1.1.4 r-cellranger@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mini-pw/SerolyzeR
Licenses: Modified BSD
Build system: r
Synopsis: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description:

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project PvSTATEM', which is an international project aiming for malaria elimination.

r-spm 1.2.3
Propagated dependencies: r-sp@2.2-0 r-ranger@0.17.0 r-randomforest@4.7-1.2 r-psy@1.2 r-gstat@2.1-4 r-gbm@2.2.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spm
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Predictive Modeling
Description:

Introduction to some novel accurate hybrid methods of geostatistical and machine learning methods for spatial predictive modelling. It contains two commonly used geostatistical methods, two machine learning methods, four hybrid methods and two averaging methods. For each method, two functions are provided. One function is for assessing the predictive errors and accuracy of the method based on cross-validation. The other one is for generating spatial predictions using the method. For details please see: Li, J., Potter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010) <https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/71407> Li, J., Heap, A. D., Potter, A., Huang, Z. and Daniell, J. (2011) <doi:10.1016/j.csr.2011.05.015> Li, J., Heap, A. D., Potter, A. and Daniell, J. (2011) <doi:10.1016/j.envsoft.2011.07.004> Li, J., Potter, A., Huang, Z. and Heap, A. (2012) <https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/74030>.

r-splm 1.6-5
Propagated dependencies: r-stringr@1.6.0 r-spdep@1.4-1 r-spatialreg@1.4-2 r-spam@2.11-1 r-plm@2.6-7 r-nlme@3.1-168 r-maxlik@1.5-2.1 r-matrix@1.7-4 r-mass@7.3-65 r-bdsmatrix@1.3-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=splm
Licenses: GPL 2
Build system: r
Synopsis: Econometric Models for Spatial Panel Data
Description:

ML and GM estimation and diagnostic testing of econometric models for spatial panel data.

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
Build system: r
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.

r-solar 0.47
Propagated dependencies: r-zoo@1.8-14 r-rcolorbrewer@1.1-3 r-latticeextra@0.6-31 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://oscarperpinan.codeberg.page/solar/
Licenses: GPL 3
Build system: r
Synopsis: Radiation and Photovoltaic Systems
Description:

Calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.

r-symengine 0.2.11
Dependencies: mpfr@4.2.2 gmp@6.3.0 cmake@4.1.3
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/symengine/symengine.R
Licenses: GPL 2+
Build system: r
Synopsis: Interface to the 'SymEngine' Library
Description:

This package provides an R interface to SymEngine <https://github.com/symengine/>, a standalone C++ library for fast symbolic manipulation. The package has functionalities for symbolic computation like calculating exact mathematical expressions, solving systems of linear equations and code generation.

r-spatentropy 2.2-4
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat@3.4-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpatEntropy
Licenses: GPL 3
Build system: r
Synopsis: Spatial Entropy Measures
Description:

The heterogeneity of spatial data presenting a finite number of categories can be measured via computation of spatial entropy. Functions are available for the computation of the main entropy and spatial entropy measures in the literature. They include the traditional version of Shannon's entropy (Shannon, 1948 <doi:10.1002/j.1538-7305.1948.tb01338.x>), Batty's spatial entropy (Batty, 1974 <doi:10.1111/j.1538-4632.1974.tb01014.x>), O'Neill's entropy (O'Neill et al., 1998 <doi:10.1007/BF00162741>), Li and Reynolds contagion index (Li and Reynolds, 1993 <doi:10.1007/BF00125347>), Karlstrom and Ceccato's entropy (Karlstrom and Ceccato, 2002 <https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-61351>), Leibovici's entropy (Leibovici, 2009 <doi:10.1007/978-3-642-03832-7_24>), Parresol and Edwards entropy (Parresol and Edwards, 2014 <doi:10.3390/e16041842>) and Altieri's entropy (Altieri et al., 2018, <doi:10.1007/s10651-017-0383-1>). Full references for all measures can be found under the topic SpatEntropy'. The package is able to work with lattice and point data. The updated version works with the updated spatstat package (>= 3.0-2).

r-stringx 0.2.9
Propagated dependencies: r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://stringx.gagolewski.com/
Licenses: GPL 2+
Build system: r
Synopsis: Replacements for Base String Functions Powered by 'stringi'
Description:

English is the native language for only 5% of the World population. Also, only 17% of us can understand this text. Moreover, the Latin alphabet is the main one for merely 36% of the total. The early computer era, now a very long time ago, was dominated by the US. Due to the proliferation of the internet, smartphones, social media, and other technologies and communication platforms, this is no longer the case. This package replaces base R string functions (such as grep(), tolower(), sprintf(), and strptime()) with ones that fully support the Unicode standards related to natural language and date-time processing. It also fixes some long-standing inconsistencies, and introduces some new, useful features. Thanks to ICU (International Components for Unicode) and stringi', they are fast, reliable, and portable across different platforms.

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