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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-ssp 1.1.0
Propagated dependencies: r-vegan@2.7-2 r-sampling@2.11 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/edlinguerra/SSP
Licenses: GPL 3
Build system: r
Synopsis: Simulated Sampling Procedure for Community Ecology
Description:

The Simulation-based Sampling Protocol (SSP) is an R package designed to estimate sampling effort in studies of ecological communities. It is based on the concept of pseudo-multivariate standard error (MultSE) (Anderson & Santana-Garcon, 2015, <doi:10.1111/ele.12385>) and the simulation of ecological data. The theoretical background is described in Guerra-Castro et al. (2020, <doi:10.1111/ecog.05284>).

r-simic 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jayarasan/simIC
Licenses: Expat
Build system: r
Synopsis: Simulate and Analyze Interval- and Mixed-Censored Survival Data
Description:

This package provides tools to simulate and analyze survival data with interval-, left-, right-, and uncensored observations under common parametric distributions, including "Weibull", "Exponential", "Log-Normal", "Log-Logistic", "Gamma", "Gompertz", "Normal", "Logistic", and "EMV". The package supports both direct maximum likelihood estimation and imputation-based methods, making it suitable for methodological research, simulation benchmarking, and teaching. A web-based companion app is also available for demonstration purposes.

r-simfinapi 1.0.1
Propagated dependencies: r-rcppsimdjson@0.1.15 r-memoise@2.0.1 r-lifecycle@1.0.4 r-httr2@1.2.1 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/matthiasgomolka/simfinapi
Licenses: GPL 3
Build system: r
Synopsis: Accessing 'SimFin' Data
Description:

Through simfinapi, you can intuitively access the SimFin Web-API (<https://www.simfin.com/>) to make SimFin data easily available in R. To obtain an SimFin API key (and thus to use this package), you need to register at <https://app.simfin.com/login>.

r-susenas 0.1.0
Propagated dependencies: r-readxl@1.4.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SUSENAS
Licenses: GPL 3
Build system: r
Synopsis: National Socio-Economic Survey Data Collection Indonesia
Description:

Survey to collect data about the social and economic conditions of Indonesian society. This activity aims to include: As a data source for planning and evaluating national, sectoral development programs, and providing indicators for Sustainable Development Goals (TPB), National Medium Term Development Plan (RPJMN), and Nawacita, GDP/GRDP and annual Integrated Institutional Balance Sheet.

r-spgwr 0.6-37
Propagated dependencies: r-spdata@2.3.4 r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rsbivand/spgwr/
Licenses: GPL 2+
Build system: r
Synopsis: Geographically Weighted Regression
Description:

This package provides functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.

r-spreg 1.0
Propagated dependencies: r-ucminf@1.2.2 r-sn@2.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SPreg
Licenses: GPL 3
Build system: r
Synopsis: Bias Reduction in the Skew-Probit Model for a Binary Response
Description:

This package provides a function for the estimation of parameters in a binary regression with the skew-probit link function. Naive MLE, Jeffrey type of prior and Cauchy prior type of penalization are implemented, as described in DongHyuk Lee and Samiran Sinha (2019+) <doi:10.1080/00949655.2019.1590579>.

r-spacesxyz 1.6-0
Propagated dependencies: r-logger@0.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spacesXYZ
Licenses: GPL 3+
Build system: r
Synopsis: CIE XYZ and some of Its Derived Color Spaces
Description:

This package provides functions for converting among CIE XYZ, xyY, Lab, and Luv. Calculate Correlated Color Temperature (CCT) and the Planckian and daylight loci. The XYZs of some standard illuminants and some standard linear chromatic adaptation transforms (CATs) are included. Three standard color difference metrics are included, plus the forward direction of the CIECAM02 color appearance model.

r-stpp 2.0-8
Propagated dependencies: r-splancs@2.01-45 r-spatstat-univar@3.1-5 r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-rpanel@1.1-5.2 r-rgl@1.3.31 r-plot3d@1.4.2 r-kernsmooth@2.23-26 r-gridextra@2.3 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=stpp
Licenses: GPL 3
Build system: r
Synopsis: Space-Time Point Pattern Simulation, Visualisation and Analysis
Description:

Many of the models encountered in applications of point process methods to the study of spatio-temporal phenomena are covered in stpp'. This package provides statistical tools for analyzing the global and local second-order properties of spatio-temporal point processes, including estimators of the space-time inhomogeneous K-function and pair correlation function. It also includes tools to get static and dynamic display of spatio-temporal point patterns. See Gabriel et al (2013) <doi:10.18637/jss.v053.i02>.

r-surveydown 1.0.1
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rvest@1.0.5 r-rstudioapi@0.17.1 r-rpostgres@1.4.8 r-rmarkdown@2.30 r-quarto@1.5.1 r-pool@1.0.4 r-miniui@0.1.2 r-markdown@2.0 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-fs@1.6.6 r-dotenv@1.0.3 r-dbi@1.2.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://pkg.surveydown.org
Licenses: Expat
Build system: r
Synopsis: Markdown-Based Programmable Surveys Using 'Quarto' and 'shiny'
Description:

Generate programmable surveys using markdown and R code chunks. Surveys are composed of two files: a survey.qmd Quarto file defining the survey content (pages, questions, etc), and an app.R file defining a shiny app with global settings (libraries, database configuration, etc.) and server configuration options (e.g., conditional skipping / display, etc.). Survey data collected from respondents is stored in a PostgreSQL database. Features include controls for conditional skip logic (skip to a page based on an answer to a question), conditional display logic (display a question based on an answer to a question), a customizable progress bar, and a wide variety of question types, including multiple choice (single choice and multiple choices), select, text, numeric, multiple choice buttons, text area, and dates. Because the surveys render into a shiny app, designers can also leverage the reactive capabilities of shiny to create dynamic and interactive surveys.

r-stevetemplates 1.1.0
Propagated dependencies: r-rmarkdown@2.30
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stevetemplates
Licenses: GPL 2
Build system: r
Synopsis: Steve's R Markdown Templates
Description:

These are my collection of R Markdown templates, mostly for compilation to PDF. These are useful for all things academic and professional, if you are using R Markdown for things like your CV or your articles and manuscripts.

r-simaerep 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-progressr@0.18.0 r-magrittr@2.0.4 r-knitr@1.50 r-glue@1.8.0 r-ggplot2@4.0.1 r-furrr@0.3.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://openpharma.github.io/simaerep/
Licenses: Expat
Build system: r
Synopsis: Detect Clinical Trial Sites Over- or Under-Reporting Clinical Events
Description:

Monitoring reporting rates of subject-level clinical events (e.g. adverse events, protocol deviations) reported by clinical trial sites is an important aspect of risk-based quality monitoring strategy. Sites that are under-reporting or over-reporting events can be detected using bootstrap simulations during which patients are redistributed between sites. Site-specific distributions of event reporting rates are generated that are used to assign probabilities to the observed reporting rates. (Koneswarakantha 2024 <doi:10.1007/s43441-024-00631-8>).

r-sensemakr 0.1.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/carloscinelli/sensemakr
Licenses: GPL 3
Build system: r
Synopsis: Sensitivity Analysis Tools for Regression Models
Description:

This package implements a suite of sensitivity analysis tools that extends the traditional omitted variable bias framework and makes it easier to understand the impact of omitted variables in regression models, as discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) <doi:10.1111/rssb.12348>.

r-stareg 1.0.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-qvalue@2.42.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=STAREG
Licenses: GPL 3
Build system: r
Synopsis: An Empirical Bayes Approach for Replicability Analysis Across Two Studies
Description:

This package provides a robust and powerful empirical Bayesian approach is developed for replicability analysis of two large-scale experimental studies. The method controls the false discovery rate by using the joint local false discovery rate based on the replicability null as the test statistic. An EM algorithm combined with a shape constraint nonparametric method is used to estimate unknown parameters and functions. [Li, Y. et al., (2024), <doi:10.1371/journal.pgen.1011423>].

r-stbl 0.2.0
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-glue@1.8.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://stbl.api2r.org/
Licenses: Expat
Build system: r
Synopsis: Stabilize Function Arguments
Description:

This package provides a set of consistent, opinionated functions to quickly check function arguments, coerce them to the desired configuration, or deliver informative error messages when that is not possible.

r-support 0.1.7
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-randtoolbox@2.0.5 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=support
Licenses: GPL 2+
Build system: r
Synopsis: Support Points
Description:

The functions sp() and sp_seq() compute the support points in Mak and Joseph (2018) <DOI:10.1214/17-AOS1629>. Support points can be used as a representative sample of a desired distribution, or a representative reduction of a big dataset (e.g., an "optimal" thinning of Markov-chain Monte Carlo sample chains). This work was supported by USARO grant W911NF-14-1-0024 and NSF DMS grant 1712642.

r-stranslate 0.1.3
Propagated dependencies: r-stringr@1.6.0 r-knitr@1.50 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sigbertklinke/stranslate
Licenses: GPL 3
Build system: r
Synopsis: Simple Translation Between Different Languages
Description:

Message translation is often managed with po files and the gettext programme, but sometimes another solution is needed. In contrast to po files, a more flexible approach is used as in the Fluent <https://projectfluent.org/> project with R Markdown snippets. The key-value approach allows easier handling of the translated messages.

r-simqi 0.2.0
Propagated dependencies: r-tibble@3.3.0 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=simqi
Licenses: GPL 2
Build system: r
Synopsis: Simulate Quantities of Interest from Regression Models
Description:

This is an all-encompassing suite to facilitate the simulation of so-called quantities of interest by way of a multivariate normal distribution of the regression model's coefficients and variance-covariance matrix.

r-samon 4.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=samon
Licenses: GPL 2
Build system: r
Synopsis: Sensitivity Analysis for Missing Data
Description:

In a clinical trial with repeated measures designs, outcomes are often taken from subjects at fixed time-points. The focus of the trial may be to compare the mean outcome in two or more groups at some pre-specified time after enrollment. In the presence of missing data auxiliary assumptions are necessary to perform such comparisons. One commonly employed assumption is the missing at random assumption (MAR). The samon package allows the user to perform a (parameterized) sensitivity analysis of this assumption. In particular it can be used to examine the sensitivity of tests in the difference in outcomes to violations of the MAR assumption. The sensitivity analysis can be performed under two scenarios, a) where the data exhibit a monotone missing data pattern (see the samon() function), and, b) where in addition to a monotone missing data pattern the data exhibit intermittent missing values (see the samonIM() function).

r-soundgen 2.8.0
Propagated dependencies: r-zoo@1.8-14 r-tuner@1.4.7 r-signal@1.8-1 r-shinyjs@2.1.0 r-shiny@1.11.1 r-seewave@2.2.4 r-phontools@0.2-2.2 r-nonlineartseries@0.3.1 r-mvtnorm@1.3-3 r-foreach@1.5.2 r-dtw@1.23-1 r-doparallel@1.0.17 r-data-table@1.17.8 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://cogsci.se/soundgen.html
Licenses: GPL 2+
Build system: r
Synopsis: Sound Synthesis and Acoustic Analysis
Description:

This package performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also offers tools for audio manipulation and acoustic analysis, including pitch tracking, spectral analysis, audio segmentation, pitch and formant shifting, etc. Includes four interactive web apps for synthesizing and annotating audio, manually correcting pitch contours, and measuring formant frequencies. Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.

r-sugarglider 1.0.3
Propagated dependencies: 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://maliny12.github.io/sugarglider/
Licenses: Expat
Build system: r
Synopsis: Create Glyph-Maps of Spatiotemporal Data
Description:

This package provides ggplot2 extensions to construct glyph-maps for visualizing seasonality in spatiotemporal data. See the Journal of Statistical Software reference: Zhang, H. S., Cook, D., Laa, U., Langrené, N., & Menéndez, P. (2024) <doi:10.18637/jss.v110.i07>. The manuscript for this package is currently under preparation and can be found on GitHub at <https://github.com/maliny12/paper-sugarglider>.

r-sistec 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7 r-shiny@1.11.1 r-rlang@1.1.6 r-openxlsx@4.2.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/r-ifpe/sistec
Licenses: GPL 2+
Build system: r
Synopsis: Tools to Analyze 'Sistec' Datasets
Description:

The Brazilian system for diploma registration and validation on technical and superior courses are managing by Sistec platform, see <https://sistec.mec.gov.br/>. This package provides tools for Brazilian institutions to update the student's registration and make data analysis about their situation, retention and drop out.

r-smoothroctime 0.1.1
Propagated dependencies: r-ks@1.15.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smoothROCtime
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Smooth Time-Dependent ROC Curve Estimation
Description:

Computes smooth estimations for the Cumulative/Dynamic and Incident/Dynamic ROC curves, in presence of right censorship, based on the bivariate kernel density estimation of the joint distribution function of the Marker and Time-to-event variables.

r-sqlstrings 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-readr@2.1.6 r-fs@1.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sqlstrings
Licenses: Expat
Build system: r
Synopsis: Map 'SQL' Code to R Lists
Description:

This package provides a helper function, to bulk read SQL code from separate files and load it into an R list, where the list elements contain the individual statements and queries as strings. This works by annotating the SQL code with a name comment, which also will be the name of the list element.

r-snvlfdr 1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SNVLFDR
Licenses: GPL 3+
Build system: r
Synopsis: Empirical Bayes Single Nucleotide Variant Calling
Description:

Identifies single nucleotide variants in next-generation sequencing data by estimating their local false discovery rates. For more details, see Karimnezhad, A. and Perkins, T. J. (2024) <doi:10.1038/s41598-024-51958-z>.

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Total results: 68655