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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-siberg 2.0.4
Propagated dependencies: r-mclust@6.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data
Description:

This package provides models to identify bimodally expressed genes from RNAseq data based on the Bimodality Index. SIBERG models the RNAseq data in the finite mixture modeling framework and incorporates mechanisms for dealing with RNAseq normalization. Three types of mixture models are implemented, namely, the mixture of log normal, negative binomial, or generalized Poisson distribution. See Tong et al. (2013) <doi:10.1093/bioinformatics/bts713>.

r-spiderbar 0.2.5
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/hrbrmstr/spiderbar
Licenses: Expat
Build system: r
Synopsis: Parse and Test Robots Exclusion Protocol Files and Rules
Description:

The Robots Exclusion Protocol <https://www.robotstxt.org/orig.html> documents a set of standards for allowing or excluding robot/spider crawling of different areas of site content. Tools are provided which wrap The rep-cpp <https://github.com/seomoz/rep-cpp> C++ library for processing these robots.txt files.

r-sqlrender 1.19.4
Dependencies: openjdk@25
Propagated dependencies: r-rlang@1.1.6 r-rjava@1.0-11 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://ohdsi.github.io/SqlRender/
Licenses: ASL 2.0
Build system: r
Synopsis: Rendering Parameterized SQL and Translation to Dialects
Description:

This package provides a rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include Microsoft SQL Server', Oracle', PostgreSql', Amazon RedShift', Apache Impala', IBM Netezza', Google BigQuery', Microsoft PDW', Snowflake', Azure Synapse Analytics Dedicated', Apache Spark', SQLite', and InterSystems IRIS'.

r-sdamr 0.2.0
Propagated dependencies: r-ggplot2@4.0.1 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://mspeekenbrink.github.io/sdam-r/
Licenses: GPL 3
Build system: r
Synopsis: Statistics: Data Analysis and Modelling
Description:

Data sets and functions to support the books "Statistics: Data analysis and modelling" by Speekenbrink, M. (2021) <https://mspeekenbrink.github.io/sdam-book/> and "An R companion to Statistics: data analysis and modelling" by Speekenbrink, M. (2021) <https://mspeekenbrink.github.io/sdam-r-companion/>. All datasets analysed in these books are provided in this package. In addition, the package provides functions to compute sample statistics (variance, standard deviation, mode), create raincloud and enhanced Q-Q plots, and expand Anova results into omnibus tests and tests of individual contrasts.

r-specs 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=specs
Licenses: GPL 2+
Build system: r
Synopsis: Single-Equation Penalized Error-Correction Selector (SPECS)
Description:

Implementation of SPECS, your favourite Single-Equation Penalized Error-Correction Selector developed in Smeekes and Wijler (2021) <doi:10.1016/j.jeconom.2020.07.021>. SPECS provides a fully automated estimation procedure for large and potentially (co)integrated datasets. The dataset in levels is converted to a conditional error-correction model, either by the user or by means of the functions included in this package, and various specialised forms of penalized regression can be applied to the model. Automated options for initializing and selecting a sequence of penalties, as well as the construction of penalty weights via an initial estimator, are available. Moreover, the user may choose from a number of pre-specified deterministic configurations to further simplify the model building process.

r-scouter 1.0.0
Propagated dependencies: r-ggpubr@0.6.2 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=SCOUTer
Licenses: GPL 3
Build system: r
Synopsis: Simulate Controlled Outliers
Description:

Using principal component analysis as a base model, SCOUTer offers a new approach to simulate outliers in a simple and precise way. The user can generate new observations defining them by a pair of well-known statistics: the Squared Prediction Error (SPE) and the Hotelling's T^2 (T^2) statistics. Just by introducing the target values of the SPE and T^2, SCOUTer returns a new set of observations with the desired target properties. Authors: Alba González, Abel Folch-Fortuny, Francisco Arteaga and Alberto Ferrer (2020).

r-salem 1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://elinw.github.io/salem/
Licenses: FSDG-compatible
Build system: r
Synopsis: Provides Access to Salem Witchcraft Data
Description:

Data related to the Salem Witch Trials Datasets and tutorials documenting the witch accusations and trials centered around Salem, Massachusetts in 1692. Originally assembled by Richard B. Latner of Tulane University for his website <https://www2.tulane.edu/~salem/index.html>. The data sets include information on 152 accused witches, members of the Salem Village Committee, signatories of petitions related to the events, and tax data for Salem Village.

r-smcfcs 2.0.1
Propagated dependencies: r-vgam@1.1-13 r-survival@3.8-3 r-rlang@1.1.6 r-mass@7.3-65 r-checkmate@2.3.3 r-brglm2@1.0.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jwb133/smcfcs
Licenses: GPL 3
Build system: r
Synopsis: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description:

This package implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.

r-stabilo 0.1.1
Propagated dependencies: r-pracma@2.4.6 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=stabilo
Licenses: GPL 3
Build system: r
Synopsis: Stabilometric Signal Quantification
Description:

This package provides functions for stabilometric signal quantification. The input is a data frame containing the x, y coordinates of the center-of-pressure displacement. Jose Magalhaes de Oliveira (2017) <doi:10.3758/s13428-016-0706-4> "Statokinesigram normalization method"; T E Prieto, J B Myklebust, R G Hoffmann, E G Lovett, B M Myklebust (1996) <doi:10.1109/10.532130> "Measures of postural steadiness: Differences between healthy young and elderly adults"; L F Oliveira et al (1996) <doi:10.1088/0967-3334/17/4/008> "Calculation of area of stabilometric signals using principal component analisys".

r-spacoap 1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-mass@7.3-65 r-laplacesdemon@16.1.6 r-irlba@2.3.5.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/feiyoung/SpaCOAP
Licenses: GPL 3
Build system: r
Synopsis: High-Dimensional Spatial Covariate-Augmented Overdispersed Poisson Factor Model
Description:

This package provides a spatial covariate-augmented overdispersed Poisson factor model is proposed to perform efficient latent representation learning method for high-dimensional large-scale spatial count data with additional covariates.

r-stlelm 0.1.1
Propagated dependencies: r-nnfor@0.9.9 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stlELM
Licenses: GPL 3
Build system: r
Synopsis: Hybrid Forecasting Model Based on STL Decomposition and ELM
Description:

Univariate time series forecasting with STL decomposition based Extreme Learning Machine hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.

r-shadowr 0.0.2
Propagated dependencies: r-rselenium@1.7.9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ricilandolt/shadowr
Licenses: ASL 2.0
Build system: r
Synopsis: Selenium Plugin to Manage Multi Level Shadow Elements on Web Page
Description:

Shadow Document Object Model is a web standard that offers component style and markup encapsulation. It is a critically important piece of the Web Components story as it ensures that a component will work in any environment even if other CSS or JavaScript is at play on the page. Custom HTML tags can't be directly identified with selenium tools, because Selenium doesn't provide any way to deal with shadow elements. Using this plugin you can handle any custom HTML tags.

r-standby 0.2.0
Propagated dependencies: r-shiny@1.11.1 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://standby.rsquaredacademy.com/
Licenses: GPL 3+
Build system: r
Synopsis: Alerts, Notifications and Loading Screen in 'Shiny'
Description:

Easily create alerts, notifications, modals, info tips and loading screens in Shiny'. Includes several options to customize alerts and notifications by including text, icons, images and buttons. When wrapped around a Shiny output, loading screen is automatically displayed while the output is being recalculated.

r-spectacles 0.5-5
Propagated dependencies: r-stringr@1.6.0 r-signal@1.8-1 r-reshape2@1.4.5 r-plyr@1.8.9 r-ggplot2@4.0.1 r-epir@2.0.90 r-baseline@1.3-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/pierreroudier/spectacles/
Licenses: GPL 3
Build system: r
Synopsis: Storing, Manipulating and Analysis Spectroscopy and Associated Data
Description:

Stores and eases the manipulation of spectra and associated data, with dedicated classes for spatial and soil-related data.

r-stutetest 1.0.2
Propagated dependencies: r-rnames@1.0.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plm@2.6-7 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=StuteTest
Licenses: Expat
Build system: r
Synopsis: Stute (1997) Linearity Test
Description:

Non-parametric test, originally proposed by Stute (1997) <https://www.jstor.org/stable/2242560>, that the expectation of a dependent variable Y given an independent variable D is linear in D.

r-sppop 0.1.0
Propagated dependencies: r-qpdf@1.4.1 r-numbers@0.9-2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpPOP
Licenses: GPL 2+
Build system: r
Synopsis: Generation of Spatial Population under Different Levels of Relationships among Variables
Description:

The developed package can be used to generate a spatial population for different levels of relationships among the dependent and auxiliary variables along with spatially varying model parameters. A spatial layout is designed as a [0,k-1]x[0,k-1] square region on which observations are collected at (k x k) lattice points with a unit distance between any two neighbouring points along the horizontal and vertical axes. For method details see Chao, Liu., Chuanhua, Wei. and Yunan, Su. (2018).<doi:10.1080/10485252.2018.1499907>. The generated spatial population can be utilized in Geographically Weighted Regression model based analysis for studying the spatially varying relationships among the variables. Furthermore, various statistical analysis can be performed on this spatially generated data.

r-sparseflmm 0.4.2
Propagated dependencies: r-refund@0.1-38 r-mgcv@1.9-4 r-matrix@1.7-4 r-mass@7.3-65 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=sparseFLMM
Licenses: GPL 2
Build system: r
Synopsis: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data
Description:

Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.

r-seirfansy 1.1.1
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 r-pbapply@1.7-4 r-patchwork@1.3.2 r-magrittr@2.0.4 r-knitr@1.50 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-desctools@0.99.60 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/umich-biostatistics/SEIRfansy
Licenses: GPL 2
Build system: r
Synopsis: Extended Susceptible-Exposed-Infected-Recovery Model
Description:

Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symptom based administration of diagnostic tests. <doi:10.1101/2020.09.24.20200238>.

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+
Build system: r
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-saerobust 0.5.0
Propagated dependencies: r-spdep@1.4-1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pbapply@1.7-4 r-modules@0.13.0 r-memoise@2.0.1 r-matrix@1.7-4 r-mass@7.3-65 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-assertthat@0.2.1 r-aoos@0.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=saeRobust
Licenses: Expat
Build system: r
Synopsis: Robust Small Area Estimation
Description:

This package provides methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.

r-str2str 1.0.0
Propagated dependencies: r-reshape@0.8.10 r-plyr@1.8.9 r-checkmate@2.3.3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=str2str
Licenses: GPL 2+
Build system: r
Synopsis: Convert R Objects from One Structure to Another
Description:

Offers a suite of functions for converting to and from (atomic) vectors, matrices, data.frames, and (3D+) arrays as well as lists of these objects. It is an alternative to the base R as.<str>.<method>() functions (e.g., as.data.frame.array()) that provides more useful and/or flexible restructuring of R objects. To do so, it only works with common structuring of R objects (e.g., data.frames with only atomic vector columns).

r-simhelpers 0.3.1
Propagated dependencies: r-tidyr@1.3.1 r-rstudioapi@0.17.1 r-rdpack@2.6.4 r-furrr@0.3.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://meghapsimatrix.github.io/simhelpers/
Licenses: GPL 3
Build system: r
Synopsis: Helper Functions for Simulation Studies
Description:

Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies, following a general simulation workflow that closely aligns with the approach described by Morris, White, and Crowther (2019) <DOI:10.1002/sim.8086>. Also includes functions for calculating bootstrap confidence intervals (including normal, basic, studentized, percentile, bias-corrected, and bias-corrected-and-accelerated) with tidy output, as well as for extrapolating confidence interval coverage rates and hypothesis test rejection rates following techniques suggested by Boos and Zhang (2000) <DOI:10.1080/01621459.2000.10474226>.

r-sp2000 0.2.0
Propagated dependencies: r-xml2@1.5.0 r-xml@3.99-0.20 r-urltools@1.7.3.1 r-tibble@3.3.0 r-rlist@0.4.6.2 r-purrr@1.2.0 r-pbmcapply@1.5.1 r-jsonlite@2.0.0 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://otoliths.github.io/SP2000/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Catalogue of Life Toolkit
Description:

This package provides a programmatic interface to <http://sp2000.org.cn>, re-written based on an accompanying Species 2000 API. Access tables describing catalogue of the Chinese known species of animals, plants, fungi, micro-organisms, and more. This package also supports access to catalogue of life global <http://catalogueoflife.org>, China animal scientific database <http://zoology.especies.cn> and catalogue of life Taiwan <https://taibnet.sinica.edu.tw/home_eng.php>. The development of SP2000 package were supported by Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment, China <2019HJ2096001006>,Yunnan University's "Double First Class" Project <C176240405> and Yunnan University's Research Innovation Fund for Graduate Students <2019227>.

r-sphunif 1.4.3
Propagated dependencies: r-rotasym@1.2.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-gsl@2.1-9 r-future@1.68.0 r-foreach@1.5.2 r-dorng@1.8.6.2 r-dofuture@1.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/egarpor/sphunif
Licenses: GPL 3
Build system: r
Synopsis: Uniformity Tests on the Circle, Sphere, and Hypersphere
Description:

Implementation of uniformity tests on the circle and (hyper)sphere. The main function of the package is unif_test(), which conveniently collects more than 35 tests for assessing uniformity on S^p-1 = x in R^p : ||x|| = 1, p >= 2. The test statistics are implemented in the unif_stat() function, which allows computing several statistics for different samples within a single call, thus facilitating Monte Carlo experiments. Furthermore, the unif_stat_MC() function allows parallelizing them in a simple way. The asymptotic null distributions of the statistics are available through the function unif_stat_distr(). The core of sphunif is coded in C++ by relying on the Rcpp package. The package also provides several novel datasets and gives the replicability for the data applications/simulations in Garcà a-Portugués et al. (2021) <doi:10.1007/978-3-030-69944-4_12>, Garcà a-Portugués et al. (2023) <doi:10.3150/21-BEJ1454>, Fernández-de-Marcos and Garcà a-Portugués (2024) <doi:10.1016/j.spl.2024.110218>, and Garcà a-Portugués et al. (2025) <doi:10.1080/01621459.2025.2566414>.

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