_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-seminrextras 0.9.0
Propagated dependencies: r-seminr@2.4.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sem-in-r/seminr
Licenses: GPL 3
Build system: r
Synopsis: Conduct Additional Modeling and Analysis for 'seminr'
Description:

Supplemental functions for estimating and analysing structural equation models including Cross Validated Prediction and Testing (CVPAT, Liengaard et al., 2021 <doi:10.1111/deci.12445>).

r-sknn 4.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SKNN
Licenses: GPL 2
Build system: r
Synopsis: Super K-Nearest Neighbor (SKNN) Classification Algorithm
Description:

It's a Super K-Nearest Neighbor(SKNN) classification method with using kernel density to describe weight of the distance between a training observation and the testing sample. Comparison of performance between SKNN and KNN shows that SKNN is significantly superior to KNN.

r-shinymergely 0.2.0
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/stla/shinyMergely
Licenses: GPL 3
Build system: r
Synopsis: Compare and Merge Two Files with a 'Shiny' App
Description:

This package provides a Shiny app allowing to compare and merge two files, with syntax highlighting for several coding languages.

r-stoppingrule 0.6
Propagated dependencies: r-pracma@2.4.6 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=stoppingrule
Licenses: GPL 3
Build system: r
Synopsis: Create and Evaluate Stopping Rules for Safety Monitoring
Description:

This package provides functions for creating, displaying, and evaluating stopping rules for safety monitoring in clinical studies.

r-simecol 0.9-3
Propagated dependencies: r-minqa@1.2.8 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/tpetzoldt/simecol/
Licenses: GPL 2+
Build system: r
Synopsis: Simulation of Ecological (and Other) Dynamic Systems
Description:

An object oriented framework to simulate ecological (and other) dynamic systems. It can be used for differential equations, individual-based (or agent-based) and other models as well. It supports structuring of simulation scenarios (to avoid copy and paste) and aims to improve readability and re-usability of code.

r-scalreg 1.0.1
Propagated dependencies: r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scalreg
Licenses: GPL 2
Build system: r
Synopsis: Scaled Sparse Linear Regression
Description:

Algorithms for fitting scaled sparse linear regression and estimating precision matrices.

r-springpheno 0.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=springpheno
Licenses: FSDG-compatible
Build system: r
Synopsis: Spring Phenological Indices
Description:

Computes the extended spring indices (SI-x) and false spring exposure indices (FSEI). The SI-x indices are standard indices used for analysis in spring phenology studies. In addition, the FSEI is also from research on the climatology of false springs and adjusted to include an early and late false spring exposure index. The indices include the first leaf index, first bloom index, and false spring exposure indices, along with all calculations for all functions needed to calculate each index. The main function returns all indices, but each function can also be run separately. Allstadt et al. (2015) <doi: 10.1088/1748-9326/10/10/104008> Ault et al. (2015) <doi: 10.1016/j.cageo.2015.06.015> Peterson and Abatzoglou (2014) <doi: 10.1002/2014GL059266> Schwarz et al. (2006) <doi: 10.1111/j.1365-2486.2005.01097.x> Schwarz et al. (2013) <doi: 10.1002/joc.3625>.

r-smoots 1.1.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progressr@0.18.0 r-progress@1.2.3 r-future-apply@1.20.0 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smoots
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Estimation of the Trend and Its Derivatives in TS
Description:

The nonparametric trend and its derivatives in equidistant time series (TS) with short-memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel smoother is also built-in as a comparison. With version 1.1.0, a linearity test for the trend function, forecasting methods and backtesting approaches are implemented as well. The smoothing methods of the package are described in Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598>.

r-shiny-react 0.4.0
Propagated dependencies: r-stringi@1.8.7 r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-logger@0.4.1 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://appsilon.github.io/shiny.react/
Licenses: LGPL 3+
Build system: r
Synopsis: Tools for Using React in Shiny
Description:

This package provides a toolbox for defining React component wrappers which can be used seamlessly in Shiny apps.

r-spbps 0.0-4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mniw@1.0.2 r-cvxr@1.0-15
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spBPS
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
Description:

This package provides functions for Bayesian Predictive Stacking within the Bayesian transfer learning framework for geospatial artificial systems, as introduced in "Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach" (Presicce and Banerjee, 2024) <doi:10.48550/arXiv.2410.09504>. This methodology enables efficient Bayesian geostatistical modeling, utilizing predictive stacking to improve inference across spatial datasets. The core functions leverage C++ for high-performance computation, making the framework well-suited for large-scale spatial data analysis in parallel and distributed computing environments. Designed for scalability, it allows seamless application in computationally demanding scenarios.

r-saemspe 1.4
Propagated dependencies: r-smallarea@0.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=saeMSPE
Licenses: GPL 2+
Build system: r
Synopsis: Computing MSPE Estimates in Small Area Estimation
Description:

Compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for FH model (Fay and Herriot, 1979) and NER model (Battese et al., 1988) in small area estimation.

r-smoothmest 0.1-3
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.unibo.it/sitoweb/christian.hennig/en
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Smoothed M-Estimators for 1-Dimensional Location
Description:

Some M-estimators for 1-dimensional location (Bisquare, ML for the Cauchy distribution, and the estimators from application of the smoothing principle introduced in Hampel, Hennig and Ronchetti (2011) to the above, the Huber M-estimator, and the median, main function is smoothm), and Pitman estimator.

r-shinynotes 0.0.3
Propagated dependencies: r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rsqlite@2.4.4 r-rlang@1.1.6 r-markdown@2.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/danielkovtun/shinyNotes
Licenses: Expat
Build system: r
Synopsis: Shiny Module for Taking Free-Form Notes
Description:

An enterprise-targeted scalable and customizable shiny module providing an easy way to incorporate free-form note taking or discussion boards into applications. The package includes a shiny module that can be included in any shiny application to create a panel containing searchable, editable text broken down by section headers. Can be used with a local SQLite database, or a compatible remote database of choice.

r-sigclust 1.1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sigclust
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Significance of Clustering
Description:

SigClust is a statistical method for testing the significance of clustering results. SigClust can be applied to assess the statistical significance of splitting a data set into two clusters. For more than two clusters, SigClust can be used iteratively.

r-scout 1.0.4
Propagated dependencies: r-glasso@1.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scout
Licenses: GPL 2+
Build system: r
Synopsis: Implements the Scout Method for Covariance-Regularized Regression
Description:

This package implements the Scout method for regression, described in "Covariance-regularized regression and classification for high-dimensional problems", by Witten and Tibshirani (2008), Journal of the Royal Statistical Society, Series B 71(3): 615-636.

r-shapdoe 1.0.0
Propagated dependencies: r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ShapDoE
Licenses: Expat
Build system: r
Synopsis: Approximation of the Shapley Values Based on Experimental Designs
Description:

Estimating the Shapley values using the algorithm in the paper Liuqing Yang, Yongdao Zhou, Haoda Fu, Min-Qian Liu and Wei Zheng (2024) <doi:10.1080/01621459.2023.2257364> "Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs". You provide the data and define the value function, it retures the estimated Shapley values based on sampling methods or experimental designs.

r-semipar-depcens 0.1.3
Propagated dependencies: r-survival@3.8-3 r-pbivnorm@0.6.0 r-foreach@1.5.2 r-doparallel@1.0.17 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Nago2020/SemiPar.depCens
Licenses: GPL 3
Build system: r
Synopsis: Copula Based Cox Proportional Hazards Models for Dependent Censoring
Description:

Copula based Cox proportional hazards models for survival data subject to dependent censoring. This approach does not assume that the parameter defining the copula is known. The dependency parameter is estimated with other finite model parameters by maximizing a Pseudo likelihood function. The cumulative hazard function is estimated via estimating equations derived based on martingale ideas. Available copula functions include Frank, Gumbel and Normal copulas. Only Weibull and lognormal models are allowed for the censoring model, even though any parametric model that satisfies certain identifiability conditions could be used. Implemented methods are described in the article "Copula based Cox proportional hazards models for dependent censoring" by Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>.

r-shide 0.3.0
Propagated dependencies: r-vctrs@0.6.5 r-tzdb@0.5.0 r-rlang@1.1.6 r-cpp11@0.5.2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mmollayi/shide
Licenses: Expat
Build system: r
Synopsis: Date/Time Classes Based on Jalali Calendar
Description:

This package implements S3 classes for storing dates and date-times based on the Jalali calendar. The main design goal of shide is consistency with base R's Date and POSIXct'. It provide features such as: date-time parsing, formatting and arithmetic.

r-sascii 1.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ajdamico/SAScii
Licenses: GPL 2+
Build system: r
Synopsis: Import ASCII Files Directly into R using Only a 'SAS' Input Script
Description:

Using any importation code designed for SAS users to read ASCII files into sas7bdat files, this package parses through the INPUT block of a .sas syntax file to design the parameters needed for a read.fwf() function call. This allows the user to specify the location of the ASCII (often a .dat') file and the location of the SAS syntax file, and then load the data frame directly into R in just one step.

r-sicegar 0.3.0
Propagated dependencies: r-minpack-lm@1.2-4 r-ggplot2@4.0.1 r-fbasics@4041.97 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/wilkelab/sicegar/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Analysis of Single-Cell Viral Growth Curves
Description:

Aims to quantify time intensity data by using sigmoidal and double sigmoidal curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to time vs intensity data. Then all the fits are used to make decision on which model best describes the data. This method was first developed in the context of single-cell viral growth analysis (for details, see Caglar et al. (2018) <doi:10.7717/peerj.4251>), and the package name stands for "SIngle CEll Growth Analysis in R".

r-spower 0.5.1
Propagated dependencies: r-simdesign@2.21 r-polycor@0.8-1 r-plotly@4.11.0 r-parallelly@1.45.1 r-lavaan@0.6-20 r-ggplot2@4.0.1 r-envstats@3.1.0 r-cocor@1.1-4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/philchalmers/Spower
Licenses: GPL 3+
Build system: r
Synopsis: Power Analyses using Monte Carlo Simulations
Description:

This package provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori/post-hoc analyses. The default simulation experiment functions defined within the package provide stochastic variants of the power analysis subroutines in G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis applications (e.g., mediation analyses) and support for Bayesian power analysis by way of Bayes factors or posterior probability evaluations. Additional functions for building empirical power curves, reanalyzing simulation information, and for increasing the precision of the resulting power estimates are also included, each of which utilize similar API structures. For further details see the associated publication in Chalmers (2025) <doi:10.3758/s13428-025-02787-z>.

r-samplesizecmh 0.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/pegeler/samplesizeCMH
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Test
Description:

Calculates the power and sample size for Cochran-Mantel-Haenszel tests. There are also several helper functions for working with probability, odds, relative risk, and odds ratio values.

r-starsextra 0.2.8
Propagated dependencies: r-units@1.0-0 r-stars@0.6-8 r-sf@1.0-23 r-nngeo@0.4.8 r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://michaeldorman.github.io/starsExtra/
Licenses: Expat
Build system: r
Synopsis: Miscellaneous Functions for Working with 'stars' Rasters
Description:

Miscellaneous functions for working with stars objects, mainly single-band rasters. Currently includes functions for: (1) focal filtering, (2) detrending of Digital Elevation Models, (3) calculating flow length, (4) calculating the Convergence Index, (5) calculating topographic aspect and topographic slope.

r-seinfitr 1.0.1
Propagated dependencies: r-minpack-lm@1.2-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/dslabcena/seinfitR
Licenses: GPL 3+
Build system: r
Synopsis: Modeling the Relationship Between Nematode Densities and Plant Growth
Description:

This package implements the Seinhorst model to analyze the relationship between initial nematode densities and plant growth response using nonlinear least squares estimation. The package provides tools for model fitting, prediction, and visualization, facilitating the study of plant-nematode interactions. Model parameters can be estimated or set to predefined values based on Seinhorst (1986) <doi:10.1007/978-1-4613-2251-1_11>.

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Total results: 68655