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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-shinydrive 0.1.5
Propagated dependencies: r-zip@2.3.3 r-yaml@2.3.10 r-shiny@1.11.1 r-r-utils@2.13.0 r-knitr@1.50 r-htmltools@0.5.8.1 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinydrive
Licenses: GPL 3
Build system: r
Synopsis: File Sharing Shiny Module
Description:

Shiny module for easily sharing files between users. Admin can add, remove, edit and download file. User can only download file. It's also possible to manage files using R functions directly.

r-scdhlm 0.7.4
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.1.6 r-readxl@1.4.5 r-nlme@3.1-168 r-magrittr@2.0.4 r-lmeinfo@0.3.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://jepusto.github.io/scdhlm/
Licenses: GPL 3
Build system: r
Synopsis: Estimating Hierarchical Linear Models for Single-Case Designs
Description:

This package provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>. Includes an interactive web interface.

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-skilljar 0.1.2
Propagated dependencies: r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 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=skilljaR
Licenses: CC0
Build system: r
Synopsis: Connect to Your 'Skilljar' Data
Description:

This package provides functions that simplify calls to the Skilljar API. See <https://api.skilljar.com/docs/> for documentation on the Skilljar API. This package is not supported by Skilljar'.

r-setartree 0.2.1
Propagated dependencies: r-generics@0.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rakshitha123/setartree
Licenses: Expat
Build system: r
Synopsis: SETAR-Tree - A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
Description:

The implementation of a forecasting-specific tree-based model that is in particular suitable for global time series forecasting, as proposed in Godahewa et al. (2022) <arXiv:2211.08661v1>. The model uses the concept of Self Exciting Threshold Autoregressive (SETAR) models to define the node splits and thus, the model is named SETAR-Tree. The SETAR-Tree uses some time-series-specific splitting and stopping procedures. It trains global pooled regression models in the leaves allowing the models to learn cross-series information. The depth of the tree is controlled by conducting a statistical linearity test as well as measuring the error reduction percentage at each node split. Thus, the SETAR-Tree requires minimal external hyperparameter tuning and provides competitive results under its default configuration. A forest is developed by extending the SETAR-Tree. The SETAR-Forest combines the forecasts provided by a collection of diverse SETAR-Trees during the forecasting process.

r-shortirt 1.0.0
Propagated dependencies: 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=shortIRT
Licenses: Expat
Build system: r
Synopsis: Procedures Based on Item Response Theory Models for the Development of Short Test Forms
Description:

Implement different Item Response Theory (IRT) based procedures for the development of static short test forms (STFs) from a test. Two main procedures are considered (Epifania, Anselmi & Robusto, 2022 <doi:10.1007/978-3-031-27781-8_7>). The procedures differ in how the most informative items are selected for the inclusion in the STF, either by considering their item information functions without any reference to any specific latent trait level (benchmark procedure) or by considering their information with respect to specific latent trait levels, denoted as theta targets (theta target procedure). Three methods are implemented for the definition of the theta targets: (i) as the midpoints of equal intervals on the latent trait, (ii) as the centroids of the clusters obtained by clustering the latent trait, and (iii) as user-defined values. Importantly, the number of theta targets defines the number of items included in the STF. For further details on the procedure, please refer to Epifania, Anselmi & Robusto (2022) <doi:10.1007/978-3-031-27781-8_7>.

r-shinyproxylogs 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://tsenegas.github.io/shinyproxyLogs/
Licenses: Expat
Build system: r
Synopsis: Tools for Analyzing 'ShinyProxy' Containers Logs
Description:

This package provides functions to parse and analyze logs generated by ShinyProxy containers. It extracts metadata from log file names, reads log contents, and computes summary statistics (such as the total number of lines and lines containing error messages), facilitating efficient monitoring and debugging of ShinyProxy deployments.

r-semhelpinghands 0.1.12
Propagated dependencies: r-rlang@1.1.6 r-lavaan@0.6-20 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sfcheung.github.io/semhelpinghands/
Licenses: GPL 3+
Build system: r
Synopsis: Helper Functions for Structural Equation Modeling
Description:

An assortment of helper functions for doing structural equation modeling, mainly by lavaan for now. Most of them are time-saving functions for common tasks in doing structural equation modeling and reading the output. This package is not for functions that implement advanced statistical procedures. It is a light-weight package for simple functions that do simple tasks conveniently, with as few dependencies as possible.

r-stortingscrape 0.4.1
Propagated dependencies: r-stringr@1.6.0 r-rvest@1.0.5 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/martigso/stortingscrape
Licenses: GPL 3+
Build system: r
Synopsis: Access Data from the Norwegian Parliament API
Description:

This package provides functions for retrieving general and specific data from the Norwegian Parliament, through the Norwegian Parliament API at <https://data.stortinget.no>.

r-ssdm 0.2.11
Propagated dependencies: r-spthin@0.2.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-sf@1.0-23 r-sdm@1.2-59 r-scales@1.4.0 r-rpart@4.1.24 r-reshape2@1.4.5 r-raster@3.6-32 r-randomforest@4.7-1.2 r-poibin@1.6 r-nnet@7.3-20 r-mgcv@1.9-4 r-magrittr@2.0.4 r-leaflet@2.2.3 r-itertools@0.1-3 r-iterators@1.0.14 r-ggplot2@4.0.1 r-gbm@2.2.2 r-foreach@1.5.2 r-earth@5.3.4 r-e1071@1.7-16 r-doparallel@1.0.17 r-dismo@1.3-16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sylvainschmitt/SSDM
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Stacked Species Distribution Modelling
Description:

Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.

r-spc 0.7.2
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: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description:

Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.

r-sherlock 0.7.0
Propagated dependencies: r-tidytext@0.4.3 r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-plotly@4.11.0 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-ggh4x@0.3.1 r-fs@1.6.6 r-forcats@1.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/gaboraszabo/sherlock
Licenses: Expat
Build system: r
Synopsis: Graphical Displays for Structured Problem Solving and Diagnosis
Description:

Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the sherlock package are especially useful for applying the process of elimination as a problem diagnosis technique. The sherlock package was designed to seamlessly work with the tidyverse set of packages and provides a collection of graphical displays built on top of the ggplot and plotly packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).

r-stratification 2.2-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stratification
Licenses: GPL 2
Build system: r
Synopsis: Univariate Stratification of Survey Populations
Description:

Univariate stratification of survey populations with a generalization of the Lavallee-Hidiroglou method of stratum construction. The generalized method takes into account a discrepancy between the stratification variable and the survey variable. The determination of the optimal boundaries also incorporate, if desired, an anticipated non-response, a take-all stratum for large units, a take-none stratum for small units, and a certainty stratum to ensure that some specific units are in the sample. The well known cumulative root frequency rule of Dalenius and Hodges and the geometric rule of Gunning and Horgan are also implemented.

r-smirnov 1.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smirnov
Licenses: GPL 2+
Build system: r
Synopsis: Provides two taxonomic coefficients from E. S. Smirnov "Taxonomic analysis" (1969) book
Description:

This tiny package contains one function smirnov() which calculates two scaled taxonomic coefficients, Txy (coefficient of similarity) and Txx (coefficient of originality). These two characteristics may be used for the analysis of similarities between any number of taxonomic groups, and also for assessing uniqueness of giving taxon. It is possible to use smirnov() output as a distance measure: convert it to distance by "as.dist(1 - smirnov(x))".

r-ssimparser 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-dplyr@1.1.4 r-airportr@0.1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sthonnard/ssimparser
Licenses: Expat
Build system: r
Synopsis: Standard Schedules Information Parser
Description:

Parse Standard Schedules Information file (types 2 and 3) into a Data Frame. Can also expand schedules into flights.

r-sonar 1.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sonar
Licenses: GPL 3+
Build system: r
Synopsis: Fundamental Formulas for Sonar
Description:

Formulas for calculating sound velocity, water pressure, depth, density, absorption and sonar equations.

r-supmz 0.2.0
Propagated dependencies: r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/myaseen208/SupMZ
Licenses: GPL 2
Build system: r
Synopsis: Detecting Structural Change with Heteroskedasticity
Description:

Calculates the sup MZ value to detect the unknown structural break points under Heteroskedasticity as given in Ahmed et al. (2017) (<DOI: 10.1080/03610926.2016.1235200>).

r-stepcount 0.3.2
Propagated dependencies: r-reticulate@1.44.1 r-readr@2.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-curl@7.0.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stepcount
Licenses: Expat
Build system: r
Synopsis: Estimate Step Counts from 'Accelerometry' Data
Description:

Interfaces the stepcount Python module <https://github.com/OxWearables/stepcount> to estimate step counts and other activities from accelerometry data.

r-sever 0.0.7
Propagated dependencies: r-shiny@1.11.1 r-htmltools@0.5.8.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sever.john-coene.com/
Licenses: Expat
Build system: r
Synopsis: Customise 'Shiny' Disconnected Screens and Error Messages
Description:

Customise Shiny disconnected screens as well as sanitize error messages to make them clearer and friendlier to the user.

r-spectator 0.2.0
Propagated dependencies: r-sf@1.0-23 r-httr@1.4.7 r-geojsonsf@2.0.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spectator
Licenses: GPL 3
Build system: r
Synopsis: Interface to the 'Spectator Earth' API
Description:

This package provides interface to the Spectator Earth API <https://api.spectator.earth/>, mainly for obtaining the acquisition plans and satellite overpasses for Sentinel-1, Sentinel-2, Landsat-8 and Landsat-9 satellites. Current position and trajectory can also be obtained for a much larger set of satellites. It is also possible to search the archive for available images over the area of interest for a given (past) period, get the URL links to download the whole image tiles, or alternatively to download the image for just the area of interest based on selected spectral bands.

r-serosv 1.1.0
Propagated dependencies: r-stringr@1.6.0 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-patchwork@1.3.2 r-mixdist@0.5-5 r-mgcv@1.9-4 r-magrittr@2.0.4 r-locfit@1.5-9.12 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-desolve@1.40 r-boot@1.3-32 r-bh@1.87.0-1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://oucru-modelling.github.io/serosv/
Licenses: Expat
Build system: r
Synopsis: Model Infectious Disease Parameters from Serosurveys
Description:

An easy-to-use and efficient tool to estimate infectious diseases parameters using serological data. Implemented models include SIR models (basic_sir_model(), static_sir_model(), mseir_model(), sir_subpops_model()), parametric models (polynomial_model(), fp_model()), nonparametric models (lp_model()), semiparametric models (penalized_splines_model()), hierarchical models (hierarchical_bayesian_model()). The package is based on the book "Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statistical Perspective" (Hens, Niel & Shkedy, Ziv & Aerts, Marc & Faes, Christel & Damme, Pierre & Beutels, Philippe., 2013) <doi:10.1007/978-1-4614-4072-7>.

r-sasdates 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SASdates
Licenses: Expat
Build system: r
Synopsis: Convert the Dates to 'SAS' Formats
Description:

Converts the dates to different SAS date formats. In SAS dates are a special case of numeric values. Each day is assigned a specific numeric value, starting from January 1, 1960. This date is assigned the date value 0, and the next date has a date value of 1 and so on. The previous days to this date are represented by -1 , -2 and so on. With this approach, SAS can represent any date in the future or any date in the past. There are many date formats used in SAS to represent date-time. Here, we try to develop functions which will convert the date to different SAS date formats.

r-statstflvalr 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-readxl@1.4.5 r-purrr@1.2.0 r-haven@2.5.5 r-dplyr@1.1.4 r-data-table@1.17.8 r-arsenal@3.6.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/kalsem/StatsTFLValR
Licenses: Expat
Build system: r
Synopsis: Utilities for Validation of Clinical Trial 'SDTM', 'ADaM' and 'TFL' Outputs
Description:

This package provides utility functions for validation and quality control of clinical trial datasets and outputs across SDTM', ADaM and TFL workflows. The package supports dataset loading, metadata inspection, frequency and summary calculations, table-ready aggregations, and compare-style dataset review similar to SAS PROC COMPARE'. Functions are designed to support reproducible execution, transparent review, and independent verification of statistical programming results. Dataset comparisons may leverage arsenal <https://cran.r-project.org/package=arsenal>.

r-spikes 1.1
Propagated dependencies: r-emdbook@1.3.14
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spikes
Licenses: GPL 2+
Build system: r
Synopsis: Detecting Election Fraud from Irregularities in Vote-Share Distributions
Description:

Applies re-sampled kernel density method to detect vote fraud. It estimates the proportion of coarse vote-shares in the observed data relative to the null hypothesis of no fraud.

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Total results: 68655