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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-selenider 0.4.1
Propagated dependencies: r-withr@3.0.2 r-vctrs@0.7.3 r-rlang@1.2.0 r-prettyunits@1.2.0 r-lifecycle@1.0.5 r-curl@7.1.0 r-coro@1.1.0 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ashbythorpe/selenider
Licenses: Expat
Build system: r
Synopsis: Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'
Description:

This package provides a user-friendly wrapper for web automation, using either chromote or selenium'. Provides a simple and consistent API to make web scraping and testing scripts easy to write and understand. Elements are lazy, and automatically wait for the website to be valid, resulting in reliable and reproducible code, with no visible impact on the experience of the programmer.

r-seasonalityplot 1.3.1
Propagated dependencies: r-zoo@1.8-15 r-ttr@0.24.4 r-quantmod@0.4.28 r-plotrix@3.8-14 r-magrittr@2.0.5 r-lubridate@1.9.5 r-htmltools@0.5.9 r-dygraphs@1.1.1.6 r-crypto2@2.0.5 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/kumeS/seasonalityPlot
Licenses: Artistic License 2.0
Build system: r
Synopsis: Seasonality Variation Plots of Stock Prices and Cryptocurrencies
Description:

The price action at any given time is determined by investor sentiment and market conditions. Although there is no established principle, over a long period of time, things often move with a certain periodicity. This is sometimes referred to as anomaly. The seasonPlot() function in this package calculates and visualizes the average value of price movements over a year for any given period. In addition, the monthly increase or decrease in price movement is represented with a colored background. This seasonPlot() function can use the same symbols as the quantmod package (e.g. ^IXIC, ^DJI, SPY, BTC-USD, and ETH-USD etc).

r-sssimple 0.6.6
Propagated dependencies: r-mvtnorm@1.3-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SSsimple
Licenses: GPL 2+
Build system: r
Synopsis: State Space Models
Description:

Simulate, solve state space models.

r-synthtools 1.0.1
Propagated dependencies: r-rdpack@2.6.6 r-magrittr@2.0.5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SynthTools
Licenses: GPL 2+
Build system: r
Synopsis: Tools and Tests for Experiments with Partially Synthetic Data Sets
Description:

This package provides a set of functions to support experimentation in the utility of partially synthetic data sets. All functions compare an observed data set to one or a set of partially synthetic data sets derived from the observed data to (1) check that data sets have identical attributes, (2) calculate overall and specific variable perturbation rates, (3) check for potential logical inconsistencies, and (4) calculate confidence intervals and standard errors of desired variables in multiple imputed data sets. Confidence interval and standard error formulas have options for either synthetic data sets or multiple imputed data sets. For more information on the formulas and methods used, see Reiter & Raghunathan (2007) <doi:10.1198/016214507000000932>.

r-swjm 0.1.0
Propagated dependencies: r-rereg@1.4.7 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-matrix@1.7-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=swjm
Licenses: GPL 3+
Build system: r
Synopsis: Stagewise Variable Selection for Joint Models of Semi-Competing Risks
Description:

This package implements stagewise regression for variable selection in joint models of recurrent events and terminal events (semi-competing risks). Supports two model frameworks: the joint frailty model (Cox-type) and the joint scale-change model (AFT-type). Provides cooperative lasso, lasso, and group lasso penalties with cross-validation for tuning parameter selection via cross-fitted estimating equations.

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
Build system: r
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-slope 2.1.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1 r-matrix@1.7-5 r-bigmemory@4.6.4 r-bh@1.90.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://jolars.github.io/SLOPE/
Licenses: GPL 3
Build system: r
Synopsis: Sorted L1 Penalized Estimation
Description:

Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.

r-sip 0.1.0
Propagated dependencies: r-ggplot2@4.0.3 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/acannis/SIP
Licenses: Expat
Build system: r
Synopsis: Single-Iteration Permutation for Large-Scale Biobank Data
Description:

This package provides a single, phenome-wide permutation of large-scale biobank data. When a large number of phenotypes are analyzed in parallel, a single permutation across all phenotypes followed by genetic association analyses of the permuted data enables estimation of false discovery rates (FDRs) across the phenome. These FDR estimates provide a significance criterion for interpreting genetic associations in a biobank context. For the basic permutation of unrelated samples, this package takes a sample-by-variable file with ID, genotypic covariates, phenotypic covariates, and phenotypes as input. For data with related samples, it also takes a file with sample pair-wise identity-by-descent information. The function outputs a permuted sample-by-variable file ready for genome-wide association analysis. See Annis et al. (2021) <doi:10.21203/rs.3.rs-873449/v1> for details.

r-soilsaltindex 0.1.0
Propagated dependencies: r-sp@2.2-1 r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SoilSaltIndex
Licenses: GPL 2+
Build system: r
Synopsis: Soil Salinity Indices Generation using Satellite Data
Description:

The developed function generates soil salinity indices using satellite data, utilizing multiple spectral bands such as Blue, Green, Red, Near-Infrared (NIR), and Shortwave Infrared (SWIR1, SWIR2). It computes 24 different salinity indices crucial for monitoring and analyzing salt-affected soils efficiently. For more details see, Rani, et al. (2022). <DOI: 10.1007/s12517-022-09682-3>. One of the key features of the developed function is its flexibility. Users can provide any combination of the required spectral bands, and the function will automatically calculate only the relevant indices based on the available data. This dynamic capability ensures that users can maximize the utility of their data without the need for all spectral bands, making the package versatile and user-friendly. Outputs are provided as GeoTIFF file format, facilitating easy integration with GIS workflows.

r-shiny-i18n 0.3.0
Propagated dependencies: r-yaml@2.3.12 r-stringr@1.6.0 r-shiny@1.13.0 r-rstudioapi@0.18.0 r-r6@2.6.1 r-jsonlite@2.0.0 r-glue@1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://appsilon.github.io/shiny.i18n/
Licenses: Expat
Build system: r
Synopsis: Shiny Applications Internationalization
Description:

It provides easy internationalization of Shiny applications. It can be used as standalone translation package to translate reports, interactive visualizations or graphical elements as well.

r-simtargetcov 1.0.1
Propagated dependencies: 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=simTargetCov
Licenses: GPL 2+
Build system: r
Synopsis: Data Transformation or Simulation with Empirical Covariance Matrix
Description:

Transforms or simulates data with a target empirical covariance matrix supplied by the user. The method to obtain the data with the target empirical covariance matrix is described in Section 5.1 of Christidis, Van Aelst and Zamar (2019) <arXiv:1812.05678>.

r-sleacr 0.1.3
Propagated dependencies: r-parallelly@1.47.0 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://nutriverse.io/sleacr/
Licenses: GPL 3+
Build system: r
Synopsis: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools
Description:

In the recent past, measurement of coverage has been mainly through two-stage cluster sampled surveys either as part of a nutrition assessment or through a specific coverage survey known as Centric Systematic Area Sampling (CSAS). However, such methods are resource intensive and often only used for final programme evaluation meaning results arrive too late for programme adaptation. SLEAC, which stands for Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage, is a low resource method designed specifically to address this limitation and is used regularly for monitoring, planning and importantly, timely improvement to programme quality, both for agency and Ministry of Health (MoH) led programmes. SLEAC is designed to complement the Semi-quantitative Evaluation of Access and Coverage (SQUEAC) method. This package provides functions for use in conducting a SLEAC assessment.

r-seasonalview 1.0.0
Propagated dependencies: r-zoo@1.8-15 r-xts@0.14.2 r-xtable@1.8-8 r-shinydashboard@0.7.3 r-shiny@1.13.0 r-seasonal@1.10.0 r-openxlsx@4.2.8.1 r-htmlwidgets@1.6.4 r-dygraphs@1.1.1.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.seasonal.website
Licenses: GPL 3
Build system: r
Synopsis: Graphical User Interface for Seasonal Adjustment
Description:

This package provides a graphical user interface to the seasonal package and X-13ARIMA-SEATS', the U.S. Census Bureau's seasonal adjustment software.

r-stpphawkes 0.2.2
Propagated dependencies: r-rcppprogress@0.4.2 r-rcppgsl@0.3.14 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-interp@1.1-6 r-extradistr@1.10.0.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sandialabs/stpphawkes
Licenses: Expat
Build system: r
Synopsis: Missing Data for Marked Hawkes Process
Description:

Estimation of model parameters for marked Hawkes process. Accounts for missing data in the estimation of the parameters. Technical details found in (Tucker et al., 2019 <DOI:10.1016/j.spasta.2018.12.004>).

r-spbayessurv 1.1.9
Propagated dependencies: r-survival@3.8-6 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-mass@7.3-65 r-fields@17.3 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spBayesSurv
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Modeling and Analysis of Spatially Correlated Survival Data
Description:

This package provides several Bayesian survival models for spatial/non-spatial survival data: proportional hazards (PH), accelerated failure time (AFT), proportional odds (PO), and accelerated hazards (AH), a super model that includes PH, AFT, PO and AH as special cases, Bayesian nonparametric nonproportional hazards (LDDPM), generalized accelerated failure time (GAFT), and spatially smoothed Polya tree density estimation. The spatial dependence is modeled via frailties under PH, AFT, PO, AH and GAFT, and via copulas under LDDPM and PH. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou, Hanson and Zhang (2020) <doi:10.18637/jss.v092.i09>.

r-sasmarkdown 0.8.7
Propagated dependencies: r-xfun@0.57 r-knitr@1.51
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.ssc.wisc.edu/~hemken/SASworkshops/sas.html#writing-sas-documentation
Licenses: Expat
Build system: r
Synopsis: 'SAS' Markdown
Description:

Settings and functions to extend the knitr SAS engine.

r-sslfmm 0.1.0
Propagated dependencies: r-mvtnorm@1.3-7 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SSLfmm
Licenses: GPL 3
Build system: r
Synopsis: Semi-Supervised Learning under a Mixed-Missingness Mechanism in Finite Mixture Models
Description:

This package implements a semi-supervised learning framework for finite mixture models under a mixed-missingness mechanism. The approach models both missing completely at random (MCAR) and entropy-based missing at random (MAR) processes using a logisticâ entropy formulation. Estimation is carried out via an Expectationâ -Conditional Maximisation (ECM) algorithm with robust initialisation routines for stable convergence. The methodology relates to the statistical perspective and informative missingness behaviour discussed in Ahfock and McLachlan (2020) <doi:10.1007/s11222-020-09971-5> and Ahfock and McLachlan (2023) <doi:10.1016/j.ecosta.2022.03.007>. The package provides functions for data simulation, model estimation, prediction, and theoretical Bayes error evaluation for analysing partially labelled data under a mixed-missingness mechanism.

r-smarteda 0.3.10
Propagated dependencies: r-scales@1.4.0 r-sampling@2.11 r-rmarkdown@2.31 r-qpdf@1.4.1 r-islr@1.4 r-gridextra@2.3 r-ggplot2@4.0.3 r-ggally@2.4.0 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://daya6489.github.io/SmartEDA/
Licenses: Expat
Build system: r
Synopsis: Summarize and Explore the Data
Description:

Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.

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-southparkrshiny 1.0.0
Propagated dependencies: r-shinydashboard@0.7.3 r-shiny@1.13.0 r-knitr@1.51 r-kableextra@1.4.0 r-golem@0.5.1 r-ggpubr@0.6.3 r-ggplot2@4.0.3 r-config@0.3.2 r-bslib@0.11.0 r-box@1.2.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Amalan-ConStat/SouthParkRshiny
Licenses: Expat
Build system: r
Synopsis: Data and 'Shiny' Application for the Show 'SouthPark'
Description:

Ratings, votes, swear words and sentiments are analysed for the show SouthPark through a Shiny application after web scraping from IMDB and the website <https://southpark.fandom.com/wiki/South_Park_Archives>.

r-suessr 0.1.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SuessR
Licenses: Expat
Build system: r
Synopsis: Suess and Laws Corrections for Marine Stable Carbon Isotope Data
Description:

Generates region-specific Suess and Laws corrections for stable carbon isotope data from marine organisms collected between 1850 and 2023. Version 0.1.6 of SuessR contains four built-in regions: the Bering Sea ('Bering Sea'), the Aleutian archipelago ('Aleutian Islands'), the Gulf of Alaska ('Gulf of Alaska'), and the subpolar North Atlantic ('Subpolar North Atlantic'). Users can supply their own environmental data for regions currently not built into the package to generate corrections for those regions.

r-semantic-dashboard 0.2.1
Propagated dependencies: r-shiny-semantic@0.5.1 r-shiny@1.13.0 r-htmltools@0.5.9 r-glue@1.8.1 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=semantic.dashboard
Licenses: Expat
Build system: r
Synopsis: Dashboard with Fomantic UI Support for Shiny
Description:

It offers functions for creating dashboard with Fomantic UI.

r-switchselection 2.1.0
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-mnorm@1.2.3 r-hpa@1.3.4 r-gena@1.0.1 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=switchSelection
Licenses: GPL 2+
Build system: r
Synopsis: Endogenous Switching and Sample Selection Regression Models
Description:

Estimate the parameters of multivariate endogenous switching and sample selection models using methods described in Newey (2009) <doi:10.1111/j.1368-423X.2008.00263.x>, E. Kossova, B. Potanin (2018) <https://ideas.repec.org/a/ris/apltrx/0346.html>, E. Kossova, L. Kupriianova, B. Potanin (2020) <https://ideas.repec.org/a/ris/apltrx/0391.html> and E. Kossova, B. Potanin (2022) <https://ideas.repec.org/a/ris/apltrx/0455.html>.

r-sourcoise 1.1.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-rprojroot@2.1.1 r-rlang@1.2.0 r-rcppsimdjson@0.1.15 r-qs2@0.2.1 r-purrr@1.2.2 r-memoise@2.0.1 r-lubridate@1.9.5 r-logger@0.4.2 r-lobstr@1.2.1 r-knitr@1.51 r-jsonlite@2.0.0 r-glue@1.8.1 r-fs@2.1.0 r-dplyr@1.2.1 r-digest@0.6.39 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://xtimbeau.github.io/sourcoise/
Licenses: Expat
Build system: r
Synopsis: Source a Script and Cache
Description:

This package provides a function that behaves nearly as base::source() but implements a caching mechanism on disk, project based. It allows to quasi source() R scripts that gather data but can fail or consume to much time to respond even if nothing new is expected. It comes with tools to check and execute on demand or when cache is invalid the script.

Total packages: 72465