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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
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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-sur 1.0.4
Propagated dependencies: r-learnr@0.11.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sur
Licenses: GPL 2+
Build system: r
Synopsis: Companion to "Statistics Using R: An Integrative Approach"
Description:

Access to the datasets and many of the functions used in "Statistics Using R: An Integrative Approach". These datasets include a subset of the National Education Longitudinal Study, the Framingham Heart Study, as well as several simulated datasets used in the examples throughout the textbook. The functions included in the package reproduce some of the functionality of Stata that is not directly available in R'. The package also contains a tutorial on basic data frame management, including how to handle missing data.

r-svycausalglm 0.1.0
Propagated dependencies: r-survey@4.4-8 r-nnet@7.3-20 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=svyCausalGLM
Licenses: Expat
Build system: r
Synopsis: Survey-Weighted Modeling Utilities
Description:

Utility functions for survey-weighted regression, diagnostics, and visualization.

r-sitools 1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sitools
Licenses: GPL 3
Build system: r
Synopsis: Format a number to a string with SI prefix
Description:

Format a number (or a list of numbers) to a string (or a list of strings) with SI prefix. Use SI prefixes as constants like (4 * milli)^2.

r-salesforcer 1.0.2
Propagated dependencies: r-zip@2.3.3 r-xml2@1.5.0 r-xml@3.99-0.20 r-vctrs@0.6.5 r-tibble@3.3.0 r-rlist@0.4.6.2 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-mime@0.13 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-data-table@1.17.8 r-curl@7.0.0 r-base64enc@0.1-3 r-anytime@0.3.12
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/StevenMMortimer/salesforcer
Licenses: Expat
Build system: r
Synopsis: An Implementation of 'Salesforce' APIs Using Tidy Principles
Description:

This package provides functions connecting to the Salesforce Platform APIs (REST, SOAP, Bulk 1.0, Bulk 2.0, Metadata, Reports and Dashboards) <https://trailhead.salesforce.com/content/learn/modules/api_basics/api_basics_overview>. "API" is an acronym for "application programming interface". Most all calls from these APIs are supported as they use CSV, XML or JSON data that can be parsed into R data structures. For more details please see the Salesforce API documentation and this package's website <https://stevenmmortimer.github.io/salesforcer/> for more information, documentation, and examples.

r-sc2sc 0.0.1-18
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sc2sc
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Transfer of Statistics among Spanish Census Sections
Description:

Transfers/imputes statistics among Spanish spatial polygons (census sections or postal code areas) from different moments in time (2001-2023) without need of spatial files, just linking statistics to the ID codes of the spatial units. The data available in the census sections of a partition/division (cartography) into force in a moment of time is transferred to the census sections of another partition/division employing the geometric approach (also known as areal weighting or polygon overlay). References: Goerlich (2022) <doi:10.12842/WPIVIE_0322>. Pavà a and Cantarino (2017a, b) <doi:10.1111/gean.12112>, <doi:10.1016/j.apgeog.2017.06.021>. Pérez and Pavà a (2024a, b) <doi:10.4995/CARMA2024.2024.17796>, <doi:10.38191/iirr-jorr.24.057>. Acknowledgements: The authors wish to thank Consellerà a de Educación, Cultura, Universidades y Empleo, Generalitat Valenciana (grant CIACIO/2023/031), Consellerà a de Educación, Universidades y Empleo, Generalitat Valenciana (grant AICO/2021/257), Ministerio de Economà a e Innovación (grant PID2021-128228NB-I00) and Fundación Mapfre for supporting this research.

r-sfcentral 0.1.3
Propagated dependencies: r-sf@1.0-23 r-scales@1.4.0 r-lwgeom@0.2-14 r-hmisc@5.2-4 r-geodist@0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gavg712.gitlab.io/sfcentral/
Licenses: GPL 3+
Build system: r
Synopsis: Spatial Centrality and Dispersion Statistics
Description:

Compute centrographic statistics (central points, standard distance, standard deviation ellipse, standard deviation box) for observations taken at point locations in 2D or 3D. The sfcentral library was inspired in aspace package but conceived to be used in a spatial tidyverse context.

r-sinar 0.1.0
Propagated dependencies: r-numderiv@2016.8-1.1 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=sinar
Licenses: Expat
Build system: r
Synopsis: Conditional Least Squared (CLS) Method for the Model SINAR(1,1)
Description:

Implementation of the Conditional Least Square (CLS) estimates and its covariance matrix for the first-order spatial integer-valued autoregressive model (SINAR(1,1)) proposed by Ghodsi (2012) <doi:10.1080/03610926.2011.560739>.

r-svmmaj 0.2.9.4
Propagated dependencies: r-scales@1.4.0 r-reshape2@1.4.5 r-kernlab@0.9-33 r-gridextra@2.3 r-ggplot2@4.0.1 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=SVMMaj
Licenses: GPL 2
Build system: r
Synopsis: Implementation of the SVM-Maj Algorithm
Description:

This package implements the SVM-Maj algorithm to train data with support vector machine <doi:10.1007/s11634-008-0020-9>. This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

r-stratus 1.1.2
Propagated dependencies: r-rcppalgos@2.9.3 r-phangorn@2.12.1 r-igraph@2.2.1 r-gmp@0.7-5 r-ggtree@4.0.1 r-ggplot2@4.0.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://github.com/mdhall272/STraTUS/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Enumeration and Uniform Sampling of Transmission Trees for a Known Phylogeny
Description:

For a single, known pathogen phylogeny, provides functions for enumeration of the set of compatible epidemic transmission trees, and for uniform sampling from that set. Optional arguments allow for incomplete sampling with a known number of missing individuals, multiple sampling, and known infection time limits. Always assumed are a complete transmission bottleneck and no superinfection or reinfection. See Hall and Colijn (2019) <doi:10.1093/molbev/msz058> for methodology.

r-saetrafo 1.0.6
Propagated dependencies: r-stringr@1.6.0 r-sfsmisc@1.1-23 r-rlang@1.1.6 r-reshape2@1.4.5 r-readods@2.3.2 r-parallelmap@1.5.1 r-openxlsx@4.2.8.1 r-nlme@3.1-168 r-moments@0.14.1 r-hlmdiag@0.5.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-emdi@2.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/NoraWuerz/saeTrafo
Licenses: GPL 2
Build system: r
Synopsis: Transformations for Unit-Level Small Area Models
Description:

The aim of this package is to offer new methodology for unit-level small area models under transformations and limited population auxiliary information. In addition to this new methodology, the widely used nested error regression model without transformations (see "An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data" by Battese, Harter and Fuller (1988) <doi:10.1080/01621459.1988.10478561>) and its well-known uncertainty estimate (see "The estimation of the mean squared error of small-area estimators" by Prasad and Rao (1990) <doi:10.1080/01621459.1995.10476570>) are provided. In this package, the log transformation and the data-driven log-shift transformation are provided. If a transformation is selected, an appropriate method is chosen depending on the respective input of the population data: Individual population data (see "Empirical best prediction under a nested error model with log transformation" by Molina and Martà n (2018) <doi:10.1214/17-aos1608>) but also aggregated population data (see "Estimating regional income indicators under transformations and access to limited population auxiliary information" by Würz, Schmid and Tzavidis <unpublished>) can be entered. Especially under limited data access, new methodologies are provided in saeTrafo. Several options are available to assess the used model and to judge, present and export its results. For a detailed description of the package and the methods used see the corresponding vignette.

r-shuffle 1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shuffle
Licenses: GPL 2+
Build system: r
Synopsis: The Shuffle Estimator for Explainable Variance
Description:

Implementation of the shuffle estimator, a non-parametric estimator for signal and noise variance under mild noise correlations.

r-survgme 0.1.0
Propagated dependencies: r-survival@3.8-3 r-sna@2.8 r-scales@1.4.0 r-network@1.19.0 r-ncvreg@3.16.0 r-mass@7.3-65 r-glmnet@4.1-10 r-ggally@2.4.0 r-ahaz@1.15.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SurvGME
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Survival Data under Graphical and Measurement Error Models
Description:

The estimation method proposed by Chen and Yi (2021) <doi:10.1111/biom.13331> is extended to the analysis of survival data, accommodating commonly used survival models while accounting for measurement error and network structures among covariates.

r-seedvigorindex 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SeedVigorIndex
Licenses: GPL 3
Build system: r
Synopsis: Seed Vigor Index
Description:

Seed vigor is defined as the sum total of those properties of the seed which determine the level of activity and performance of the seed or seed lot during germination and seedling emergence. Testing for vigor becomes more important for carryover seeds, especially if seeds were stored under unknown conditions or under unfavorable storage conditions. Seed vigor testing is also used as indicator of the storage potential of a seed lot and in ranking various seed lots with different qualities. The vigour index is calculated using the equation given by (Ling et al. 2014) <doi:10.1038/srep05859>.

r-standardlastprofile 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/flrd/standardlastprofile
Licenses: CC0
Build system: r
Synopsis: Data Package for BDEW Standard Load Profiles in Electricity
Description:

Data on standard load profiles from the German Association of Energy and Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.) in a tidy format. The data and methodology are described in VDEW (1999), "Repräsentative VDEW-Lastprofile", <https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf>. The package also offers an interface for generating a standard load profile over a user-defined period. For the algorithm, see VDEW (2000), "Anwendung der Repräsentativen VDEW-Lastprofile step-by-step", <https://www.bdew.de/media/documents/2000131_Anwendung-repraesentativen_Lastprofile-Step-by-step.pdf>.

r-stakeholderanalysis 1.2
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: Measuring Stakeholder Influence
Description:

Proposes an original instrument for measuring stakeholder influence on the development of an infrastructure project that is carried through by a municipality, drawing on stakeholder classifications (Mitchell, Agle, & Wood, 1997) and input-output modelling (Hester & Adams, 2013). Mitchell R., Agle B.R., & Wood D.J. <doi:10.2307/259247> Hester, P.T., & Adams, K.M. (2013) <doi:10.1016/j.procs.2013.09.282>.

r-shinywizard 1.1.3.11
Propagated dependencies: r-rstudioapi@0.17.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ShinyWizard
Licenses: GPL 3+
Build system: r
Synopsis: An Interactive Wizard to Design, Build, and Deploy R Packages Demo Presentation
Description:

Design, build, and deploy R packages demo presentations by an interactive wizard. Set up unique title, logo and themes. Add personalized tabs exposing applicability. And deploy as a part of a package or an independent app.

r-setweaver 1.0.0
Propagated dependencies: r-splittools@1.0.1 r-pheatmap@1.0.13 r-permutes@2.8 r-igraph@2.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/nicolasleenaerts/setweaver
Licenses: FSDG-compatible
Build system: r
Synopsis: Building Sets of Variables in a Probabilistic Framework
Description:

Create sets of variables based on a mutual information approach. In this context, a set is a collection of distinct elements (e.g., variables) that can also be treated as a single entity. Mutual information, a concept from probability theory, quantifies the dependence between two variables by expressing how much information about one variable can be gained from observing the other. Furthermore, you can analyze, and visualize these sets in order to better understand the relationships among variables.

r-sedproxy 0.7.6
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-mvtnorm@1.3-3 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://earthsystemdiagnostics.github.io/sedproxy/
Licenses: Expat
Build system: r
Synopsis: Simulation of Sediment Archived Climate Proxy Records
Description:

Proxy forward modelling for sediment archived climate proxies such as Mg/Ca, d18O or Alkenones. The user provides a hypothesised "true" past climate, such as output from a climate model, and details of the sedimentation rate and sampling scheme of a sediment core. Sedproxy returns simulated proxy records. Implements the methods described in Dolman and Laepple (2018) <doi:10.5194/cp-14-1851-2018>.

r-sim-plfn 1.0
Propagated dependencies: r-fuzzynumbers@0.4-7 r-distrib@1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=Sim.PLFN
Licenses: LGPL 3+
Build system: r
Synopsis: Simulation of Piecewise Linear Fuzzy Numbers
Description:

The definition of fuzzy random variable and the methods of simulation from fuzzy random variables are two challenging statistical problems in three recent decades. This package is organized based on a special definition of fuzzy random variable and simulate fuzzy random variable by Piecewise Linear Fuzzy Numbers (PLFNs); see Coroianua et al. (2013) <doi:10.1016/j.fss.2013.02.005> for details about PLFNs. Some important statistical functions are considered for obtaining the membership function of main statistics, such as mean, variance, summation, standard deviation and coefficient of variance. Some of applied advantages of Sim.PLFN package are: (1) Easily generating / simulation a random sample of PLFN, (2) drawing the membership functions of the simulated PLFNs or the membership function of the statistical result, and (3) Considering the simulated PLFNs for arithmetic operation or importing into some statistical computation. Finally, it must be mentioned that Sim.PLFN package works on the basis of FuzzyNumbers package.

r-shapleyoutlier 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-robustbase@0.99-6 r-rdpack@2.6.4 r-rcolorbrewer@1.1-3 r-magrittr@2.0.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-forcats@1.0.1 r-egg@0.4.5 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=ShapleyOutlier
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances
Description:

Based on Shapley values to explain multivariate outlyingness and to detect and impute cellwise outliers. Includes implementations of methods described in Mayrhofer and Filzmoser (2023) <doi:10.1016/j.ecosta.2023.04.003>.

r-spatialepi 1.2.8
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rudeboybert/SpatialEpi
Licenses: GPL 2
Build system: r
Synopsis: Methods and Data for Spatial Epidemiology
Description:

This package provides methods and data for cluster detection and disease mapping.

r-semimarkov 1.4.6
Propagated dependencies: r-rsolnp@2.0.1 r-numderiv@2016.8-1.1 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=SemiMarkov
Licenses: GPL 2+
Build system: r
Synopsis: Multi-States Semi-Markov Models
Description:

This package provides functions for fitting multi-state semi-Markov models to longitudinal data. A parametric maximum likelihood estimation method adapted to deal with Exponential, Weibull and Exponentiated Weibull distributions is considered. Right-censoring can be taken into account and both constant and time-varying covariates can be included using a Cox proportional model. Reference: A. Krol and P. Saint-Pierre (2015) <doi:10.18637/jss.v066.i06>.

r-selectapref 0.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=selectapref
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Field and Laboratory Foraging
Description:

This package provides indices such as Manly's alpha, foraging ratio, and Ivlev's selectivity to allow for analysis of dietary selectivity and preference. Can accommodate multiple experimental designs such as constant prey number of prey depletion. Please contact the package maintainer with any publications making use of this package in an effort to maintain a repository of dietary selections studies.

r-shinyclt 0.9.4
Propagated dependencies: r-waiter@0.2.5-1.927501b r-testthat@3.3.0 r-shinywidgets@0.9.0 r-shinythemes@1.2.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-purrr@1.2.0 r-plotly@4.11.0 r-knitr@1.50 r-gamlss@5.5-0 r-future@1.68.0 r-dplyr@1.1.4 r-cachem@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinyCLT
Licenses: GPL 2
Build system: r
Synopsis: Central Limit Theorem 'shiny' Application
Description:

This package provides a shiny application estimating the operating characteristics of the Student's t-test by Student (1908) <doi:10.1093/biomet/6.1.1>, Welch's t-test by Welch (1947) <doi:10.1093/biomet/34.1-2.28>, and Wilcoxon test by Wilcoxon (1945) <doi:10.2307/3001968> in one-sample or two-sample cases, in settings defined by the user (conditional distribution, sample size per group, location parameter per group, nuisance parameter per group), using Monte Carlo simulations Malvin H. Kalos, Paula A. Whitlock (2008) <doi:10.1002/9783527626212>.

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