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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-sensmediation 0.3.1
Propagated dependencies: r-mvtnorm@1.3-3 r-maxlik@1.5-2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sensmediation
Licenses: GPL 2
Build system: r
Synopsis: Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects
Description:

We implement functions to estimate and perform sensitivity analysis to unobserved confounding of direct and indirect effects introduced in Lindmark, de Luna and Eriksson (2018) <doi:10.1002/sim.7620> and Lindmark (2022) <doi:10.1007/s10260-021-00611-4>. The estimation and sensitivity analysis are parametric, based on probit and/or linear regression models. Sensitivity analysis is implemented for unobserved confounding of the exposure-mediator, mediator-outcome and exposure-outcome relationships.

r-strucchangercpp 1.5-4-1.0.1
Propagated dependencies: r-zoo@1.8-14 r-sandwich@3.1-1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bfast2/strucchangeRcpp/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Testing, Monitoring, and Dating Structural Changes: C++ Version
Description:

This package provides a fast implementation with additional experimental features for testing, monitoring and dating structural changes in (linear) regression models. strucchangeRcpp features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g. cumulative/moving sum, recursive/moving estimates) and F statistics, respectively. These methods are described in Zeileis et al. (2002) <doi:10.18637/jss.v007.i02>. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals, and their magnitude as well as the model fit can be evaluated using a variety of statistical measures.

r-semmcci 1.1.5
Propagated dependencies: r-mice@3.18.0 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jeksterslab/semmcci
Licenses: Expat
Build system: r
Synopsis: Monte Carlo Confidence Intervals in Structural Equation Modeling
Description:

Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package lavaan can be generated using the semmcci package. semmcci has three main functions, namely, MC(), MCMI(), and MCStd(). The output of lavaan is passed as the first argument to the MC() function or the MCMI() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function or the MCMI() function to the MCStd() function. A description of the package and code examples are presented in Pesigan and Cheung (2024) <doi:10.3758/s13428-023-02114-4>.

r-smarter 1.0.1
Propagated dependencies: r-usethis@3.2.1 r-rmarkdown@2.30 r-rcurl@1.98-1.17 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-gplots@3.2.0 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smarter
Licenses: GPL 3+
Build system: r
Synopsis: Collection of Modified R Functions to Make Basic Coding More Convenient
Description:

This package provides a collection of recycled and modified R functions to aid in file manipulation, data exploration, wrangling, optimization, and object manipulation. Other functions aid in convenient data visualization, loop progression, software packaging, and installation.

r-skewlmm 1.1.3
Propagated dependencies: r-truncatednormal@2.3 r-purrr@1.2.0 r-optimparallel@1.0-2 r-numderiv@2016.8-1.1 r-nlme@3.1-168 r-mvtnorm@1.3-3 r-momtrunc@6.1 r-moments@0.14.1 r-matrixcalc@1.0-6 r-haven@2.5.5 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/fernandalschumacher/skewlmm
Licenses: Expat
Build system: r
Synopsis: Scale Mixture of Skew-Normal Linear Mixed Models
Description:

It fits scale mixture of skew-normal linear mixed models using either an expectationâ maximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence <doi:10.18637/jss.v115.i07>.

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-spinebil 1.0.5
Propagated dependencies: r-tourr@1.2.6 r-tidyr@1.3.1 r-tictoc@1.2.1 r-tibble@3.3.0 r-rlang@1.1.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cassowaryr@2.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://uschilaa.github.io/spinebil/index.html
Licenses: GPL 3
Build system: r
Synopsis: Investigating New Projection Pursuit Index Functions
Description:

Projection pursuit is used to find interesting low-dimensional projections of high-dimensional data by optimizing an index over all possible projections. The spinebil package contains methods to evaluate the performance of projection pursuit index functions using tour methods. A paper describing the methods can be found at <doi:10.1007/s00180-020-00954-8>.

r-spades 2.0.11
Propagated dependencies: r-spades-tools@2.1.1 r-spades-core@3.0.4 r-reproducible@3.0.0 r-quickplot@1.0.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://spades.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Develop and Run Spatially Explicit Discrete Event Simulation Models
Description:

Metapackage for implementing a variety of event-based models, with a focus on spatially explicit models. These include raster-based, event-based, and agent-based models. The core simulation components (provided by SpaDES.core') are built upon a discrete event simulation (DES; see Matloff (2011) ch 7.8.3 <https://nostarch.com/artofr.htm>) framework that facilitates modularity, and easily enables the user to include additional functionality by running user-built simulation modules (see also SpaDES.tools'). Included are numerous tools to visualize rasters and other maps (via quickPlot'), and caching methods for reproducible simulations (via reproducible'). Tools for running simulation experiments are provided by SpaDES.experiment'. Additional functionality is provided by the SpaDES.addins and SpaDES.shiny packages.

r-siphynetwork 1.1.0
Propagated dependencies: r-rstackdeque@1.1.1 r-rcpp@1.1.0 r-lifecycle@1.0.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SiPhyNetwork
Licenses: GPL 3
Build system: r
Synopsis: Phylogenetic Simulator for Reticulate Evolution
Description:

This package provides a simulator for reticulate evolution under a birth-death-hybridization process. Here the birth-death process is extended to consider reticulate Evolution by allowing hybridization events to occur. The general purpose simulator allows the modeling of three different reticulate patterns: lineage generative hybridization, lineage neutral hybridization, and lineage degenerative hybridization. Users can also specify hybridization events to be dependent on a trait value or genetic distance. We also extend some phylogenetic tree utility and plotting functions for networks. We allow two different stopping conditions: simulated to a fixed time or number of taxa. When simulating to a fixed number of taxa, the user can simulate under the Generalized Sampling Approach that properly simulates phylogenies when assuming a uniform prior on the root age.

r-sdmtune 1.3.3
Dependencies: openjdk@25
Propagated dependencies: r-whisker@0.4.1 r-terra@1.8-86 r-stringr@1.6.0 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-rcpp@1.1.0 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-maxnet@0.1.4 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-gbm@2.2.2 r-dismo@1.3-16 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://consbiol-unibern.github.io/SDMtune/
Licenses: GPL 3
Build system: r
Synopsis: Species Distribution Model Selection
Description:

User-friendly framework that enables the training and the evaluation of species distribution models (SDMs). The package implements functions for data driven variable selection and model tuning and includes numerous utilities to display the results. All the functions used to select variables or to tune model hyperparameters have an interactive real-time chart displayed in the RStudio viewer pane during their execution.

r-superdiag 2.0
Propagated dependencies: 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=superdiag
Licenses: GPL 2+
Build system: r
Synopsis: Comprehensive Test Suite for Testing Markov Chain Nonconvergence
Description:

The superdiag package provides a comprehensive test suite for testing Markov Chain nonconvergence. It integrates five standard empirical MCMC convergence diagnostics (Gelman-Rubin, Geweke, Heidelberger-Welch, Raftery-Lewis, and Hellinger distance) and plotting functions for trace plots and density histograms. The functions of the package can be used to present all diagnostic statistics and graphs at once for conveniently checking MCMC nonconvergence.

r-sss 0.2.2
Propagated dependencies: r-xml2@1.5.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://andrie.github.io/sss/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Import Files in the Triple-s (Standard Survey Structure) Format
Description:

This package provides tools to import survey files in the .sss (triple-s) format. The package provides the function read.sss() that reads the .asc (or .csv') and .sss files of a triple-s survey data file. See also <https://triple-s.org/>.

r-scorecardmodelutils 0.0.1.0
Propagated dependencies: r-stringr@1.6.0 r-sqldf@0.4-11 r-reshape2@1.4.5 r-randomforest@4.7-1.2 r-partykit@1.2-24 r-ggplot2@4.0.1 r-gbm@2.2.2 r-e1071@1.7-16 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scorecardModelUtils
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Credit Scorecard Modelling Utils
Description:

This package provides infrastructure functionalities such as missing value treatment, information value calculation, GINI calculation etc. which are used for developing a traditional credit scorecard as well as a machine learning based model. The functionalities defined are standard steps for any credit underwriting scorecard development, extensively used in financial domain.

r-snfa 0.0.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-rdpack@2.6.4 r-quadprog@1.5-8 r-prodlim@2025.04.28 r-ggplot2@4.0.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=snfa
Licenses: GPL 3
Build system: r
Synopsis: Smooth Non-Parametric Frontier Analysis
Description:

Fitting of non-parametric production frontiers for use in efficiency analysis. Methods are provided for both a smooth analogue of Data Envelopment Analysis (DEA) and a non-parametric analogue of Stochastic Frontier Analysis (SFA). Frontiers are constructed for multiple inputs and a single output using constrained kernel smoothing as in Racine et al. (2009), which allow for the imposition of monotonicity and concavity constraints on the estimated frontier.

r-spouse 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SPOUSE
Licenses: GPL 3
Build system: r
Synopsis: Scatter Plots Over-Viewed Using Summary Ellipses
Description:

Summary ellipses superimposed on a scatter plot contain all bi-variate summary statistics for regression analysis. Furthermore, the outer ellipse flags potential outliers. Multiple groups can be compared in terms of centers and spreads as illustrated in the examples.

r-shinyheatmaply 0.2.0
Propagated dependencies: r-xtable@1.8-4 r-shiny@1.11.1 r-rmarkdown@2.30 r-readxl@1.4.5 r-plotly@4.11.0 r-htmltools@0.5.8.1 r-heatmaply@1.6.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/yonicd/shinyHeatmaply
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Deploy 'heatmaply' using 'shiny'
Description:

Access functionality of the heatmaply package through Shiny UI'.

r-saehb-twofold 0.1.2
Dependencies: jags@4.3.1
Propagated dependencies: r-stringr@1.6.0 r-rjags@4-17 r-data-table@1.17.8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/reymath99/saeHB.twofold
Licenses: GPL 3
Build system: r
Synopsis: Hierarchical Bayes Twofold Subarea Level Model SAE
Description:

We designed this package to provides several functions for area and subarea level of small area estimation under Twofold Subarea Level Model using hierarchical Bayesian (HB) method with Univariate Normal distribution for variables of interest. Some dataset simulated by a data generation are also provided. The rjags package is employed to obtain parameter estimates using Gibbs Sampling algorithm. Model-based estimators involves the HB estimators which include the mean, the variation of mean, and the quantile. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.

r-scoringfunctions 1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scoringfunctions
Licenses: GPL 3
Build system: r
Synopsis: Collection of Loss Functions for Assessing Point Forecasts
Description:

This package implements multiple consistent scoring functions (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point predictions. Detailed documentation of scoring functions properties is included for facilitating interpretation of results.

r-simpleupset 0.1.4
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-scales@1.4.0 r-s7@0.2.1 r-rlang@1.1.6 r-patchwork@1.3.2 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://github.com/smped/SimpleUpset
Licenses: GPL 3
Build system: r
Synopsis: Create Upset Plots
Description:

Create Upset plots using a combination of ggplot2 and patchwork'.

r-screenshot 0.9.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magick@2.9.0 r-imager@1.0.5 r-fs@1.6.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/matutosi/screenshot
Licenses: Expat
Build system: r
Synopsis: Take Screenshots (Screen Capture) from R Command
Description:

Take screenshots from R command and locate an image position.

r-spooky 1.4.0
Propagated dependencies: r-tictoc@1.2.1 r-scales@1.4.0 r-readr@2.1.6 r-purrr@1.2.0 r-philentropy@0.10.0 r-moments@0.14.1 r-modeest@2.4.0 r-lubridate@1.9.4 r-imputets@3.4 r-greybox@2.0.7 r-ggplot2@4.0.1 r-fastdummies@1.7.5 r-fancova@0.6-1 r-entropy@1.3.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://rpubs.com/giancarlo_vercellino/spooky
Licenses: GPL 3
Build system: r
Synopsis: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling
Description:

Proposes application of spectral analysis and jack-knife resampling for multivariate sequence forecasting. The application allows for a fast random search in a compact space of hyper-parameters composed by Sequence Length and Jack-Knife Leave-N-Out.

r-softbart 1.0.3
Propagated dependencies: r-truncnorm@1.0-9 r-scales@1.4.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progress@1.2.3 r-mass@7.3-65 r-glmnet@4.1-10 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SoftBart
Licenses: GPL 2+
Build system: r
Synopsis: Implements the SoftBart Algorithm
Description:

This package implements the SoftBart model of described by Linero and Yang (2018) <doi:10.1111/rssb.12293>, with the optional use of a sparsity-inducing prior to allow for variable selection. For usability, the package maintains the same style as the BayesTree package.

r-sgs 0.3.9
Propagated dependencies: r-slope@2.0.0 r-rlab@4.5.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-mass@7.3-65 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ff1201/sgs
Licenses: GPL 3+
Build system: r
Synopsis: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Description:

Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.

r-samplingr 1.0.1
Propagated dependencies: 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=samplingR
Licenses: GPL 2
Build system: r
Synopsis: Sampling and Estimation Methods
Description:

This package provides functions to take samples of data, sample size estimation and getting useful estimators such as total, mean, proportion about its population using simple random, stratified, systematic and cluster sampling.

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