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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-spatialgev 1.0.1
Propagated dependencies: r-tmb@1.9.18 r-rcppeigen@0.3.4.0.2 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpatialGEV
Licenses: GPL 3
Build system: r
Synopsis: Fit Spatial Generalized Extreme Value Models
Description:

Fit latent variable models with the GEV distribution as the data likelihood and the GEV parameters following latent Gaussian processes. The models in this package are built using the template model builder TMB in R, which has the fast ability to integrate out the latent variables using Laplace approximation. This package allows the users to choose in the fit function which GEV parameter(s) is considered as a spatially varying random effect following a Gaussian process, so the users can fit spatial GEV models with different complexities to their dataset without having to write the models in TMB by themselves. This package also offers methods to sample from both fixed and random effects posteriors as well as the posterior predictive distributions at different spatial locations. Methods for fitting this class of models are described in Chen, Ramezan, and Lysy (2024) <doi:10.48550/arXiv.2110.07051>.

r-sims 0.0.4
Propagated dependencies: r-yesno@0.1.3 r-nlist@0.4.0 r-future-apply@1.20.0 r-chk@0.10.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/poissonconsulting/sims
Licenses: Expat
Build system: r
Synopsis: Simulate Data from R or 'JAGS' Code
Description:

Generates data from R or JAGS code for use in simulation studies. The data are returned as an nlist::nlists object and/or saved to file as individual .rds files. Parallelization is implemented using the future package. Progress is reported using the progressr package.

r-spnaf 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-spdep@1.4-1 r-sf@1.0-23 r-rlang@1.1.6 r-magrittr@2.0.4 r-dplyr@1.1.4 r-deldir@2.0-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spnaf
Licenses: Expat
Build system: r
Synopsis: Spatial Network Autocorrelation for Flow Data
Description:

Identify statistically significant flow clusters using the local spatial network autocorrelation statistic G_ij* proposed by Berglund and Karlström (1999) <doi:10.1007/s101090050013>. The metric, an extended statistic of Getis/Ord G ('Getis and Ord 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>, detects a group of flows having similar traits in terms of directionality. You provide OD data and the associated polygon to get results with several parameters, some of which are defined by spdep package.

r-survout 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-survival@3.8-3 r-openxlsx@4.2.8.1 r-dplyr@1.1.4 r-cmprsk@2.2-12
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survout
Licenses: GPL 3
Build system: r
Synopsis: Excel Conversion of R Surival Analysis Output
Description:

Simple and quick method of exporting the most often used survival analysis results to an Excel sheet.

r-sgt 2.0
Propagated dependencies: r-optimx@2025-4.9 r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sgt
Licenses: GPL 3+
Build system: r
Synopsis: Skewed Generalized T Distribution Tree
Description:

Density, distribution function, quantile function and random generation for the skewed generalized t distribution. This package also provides a function that can fit data to the skewed generalized t distribution using maximum likelihood estimation.

r-sparsemvn 0.2.2
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://braunm.github.io/sparseMVN/
Licenses: FSDG-compatible
Build system: r
Synopsis: Multivariate Normal Functions for Sparse Covariance and Precision Matrices
Description:

Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.

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-samplesizeproportions 1.1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SampleSizeProportions
Licenses: GPL 2+
Build system: r
Synopsis: Calculating Sample Size Requirements when Estimating the Difference Between Two Binomial Proportions
Description:

Sample size requirements calculation using three different Bayesian criteria in the context of designing an experiment to estimate the difference between two binomial proportions. Functions for calculation of required sample sizes for the Average Length Criterion, the Average Coverage Criterion and the Worst Outcome Criterion in the context of binomial observations are provided. In all cases, estimation of the difference between two binomial proportions is considered. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided. For reference see Joseph L., du Berger R. and Bélisle P. (1997) <doi:10.1002/(sici)1097-0258(19970415)16:7%3C769::aid-sim495%3E3.0.co;2-v>.

r-simts 0.2.3
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-robcor@0.1-6.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SMAC-Group/simts
Licenses: AGPL 3 FSDG-compatible
Build system: r
Synopsis: Time Series Analysis Tools
Description:

This package provides a system contains easy-to-use tools as a support for time series analysis courses. In particular, it incorporates a technique called Generalized Method of Wavelet Moments (GMWM) as well as its robust implementation for fast and robust parameter estimation of time series models which is described, for example, in Guerrier et al. (2013) <doi: 10.1080/01621459.2013.799920>. More details can also be found in the paper linked to via the URL below.

r-snake 1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=Snake
Licenses: GPL 3
Build system: r
Synopsis: Game of Snake
Description:

This package implements snake in R as a programming example, see <https://en.wikipedia.org/wiki/Snake_(video_game_genre)>.

r-samplesizediagnostics 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SampleSizeDiagnostics
Licenses: GPL 3
Build system: r
Synopsis: Choosing Sample Size for Evaluating a Diagnostic Test
Description:

Calculates the sample size needed for evaluating a diagnostic test based on sensitivity, specificity, prevalence, and desired precision. Based on Buderer (1996) <doi:10.1111/j.1553-2712.1996.tb03538.x>.

r-seagraphs 0.1.3
Propagated dependencies: r-terra@1.8-86 r-sfnetworks@0.6.5 r-sf@1.0-23 r-leaflet-minicharts@0.6.3 r-leaflet-extras2@1.3.2 r-leaflet@2.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/cadam00/SeaGraphs
Licenses: GPL 3
Build system: r
Synopsis: Sea Currents to Connectivity Transformation
Description:

Transformation of sea currents to connectivity data. Two files of horizontal and vertical currents flows are transformed into connectivity data in the form of sfnetwork', shapefile, edge list and adjacency matrix. An application example is shown at Nagkoulis et al. (2025) <doi:10.1016/j.dib.2024.111268>.

r-survivalplann 0.4
Propagated dependencies: r-survival@3.8-3 r-risca@1.0.7 r-nnet@7.3-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survivalPLANN
Licenses: GPL 2+
Build system: r
Synopsis: Neural Networks to Predict Survival
Description:

Several functions and S3 methods to predict survival by using neural networks. We implemented Partial Logistic Artificial Neural Networks (PLANN) as proposed by Biganzoli et al. (1998) <https://pubmed.ncbi.nlm.nih.gov/9618776>.

r-smashr 1.3-12
Propagated dependencies: r-wavethresh@4.7.3 r-rcpp@1.1.0 r-data-table@1.17.8 r-catools@1.18.3 r-ashr@2.2-63
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/stephenslab/smashr
Licenses: GPL 3+
Build system: r
Synopsis: Smoothing by Adaptive Shrinkage
Description:

Fast, wavelet-based Empirical Bayes shrinkage methods for signal denoising, including smoothing Poisson-distributed data and Gaussian-distributed data with possibly heteroskedastic error. The algorithms implement the methods described Z. Xing, P. Carbonetto & M. Stephens (2021) <https://jmlr.org/papers/v22/19-042.html>.

r-sensitivitymv 1.4.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sensitivitymv
Licenses: GPL 2
Build system: r
Synopsis: Sensitivity Analysis in Observational Studies
Description:

The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, <doi:10.1111/j.1541-0420.2006.00717.x>.

r-strs 0.1.0
Propagated dependencies: r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/pythonicr/strs
Licenses: Expat
Build system: r
Synopsis: 'Python' Style String Functions
Description:

This package provides a comprehensive set of string manipulation functions based on those found in Python without relying on reticulate'. It provides functions that intend to (1) make it easier for users familiar with Python to work with strings, (2) reduce the complexity often associated with string operations, (3) and enable users to write more readable and maintainable code that manipulates strings.

r-semid 0.5.0
Propagated dependencies: r-rje@1.12.1 r-r-utils@2.13.0 r-r-oo@1.27.1 r-r-methodss3@1.8.2 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Lucaweihs/SEMID
Licenses: GPL 2+
Build system: r
Synopsis: Identifiability of Linear Structural Equation Models
Description:

This package provides routines to check identifiability of linear structural equation models and factor analysis models. The routines are based on the graphical representation of structural equation models.

r-stampr 0.3.1
Propagated dependencies: r-spdep@1.4-1 r-sf@1.0-23 r-rlang@1.1.6 r-lwgeom@0.2-14 r-geosphere@1.5-20 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jedalong/stampr
Licenses: GPL 3
Build system: r
Synopsis: Spatial Temporal Analysis of Moving Polygons
Description:

Perform spatial temporal analysis of moving polygons; a longstanding analysis problem in Geographic Information Systems. Facilitates directional analysis, distance analysis, and some other simple functionality for examining spatial-temporal patterns of moving polygons.

r-spell-replacer 1.0.1
Propagated dependencies: r-textclean@0.9.3 r-stringr@1.6.0 r-stringdist@0.9.15 r-hunspell@3.0.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spell.replacer
Licenses: Expat
Build system: r
Synopsis: Probabilistic Spelling Correction in a Character Vector
Description:

Automatically replaces "misspelled" words in a character vector based on their string distance from a list of words sorted by their frequency in a corpus. The default word list provided in the package comes from the Corpus of Contemporary American English. Uses the Jaro-Winkler distance metric for string similarity as implemented in van der Loo (2014) <doi:10.32614/RJ-2014-011>. The word frequency data is derived from Davies (2008-) "The Corpus of Contemporary American English (COCA)" <https://www.english-corpora.org/coca/>.

r-simcat 1.0.1
Propagated dependencies: r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-mirtcat@1.14 r-mirt@1.45.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/alexandrejaloto/simCAT
Licenses: Expat
Build system: r
Synopsis: Implements Computerized Adaptive Testing Simulations
Description:

Computerized Adaptive Testing simulations with dichotomous and polytomous items. Selects items with Maximum Fisher Information method or randomly, with or without constraints (content balancing and item exposure control). Evaluates the simulation results in terms of precision, item exposure, and test length. Inspired on Magis & Barrada (2017) <doi:10.18637/jss.v076.c01>.

r-slackr 3.3.1
Propagated dependencies: r-withr@3.0.2 r-tibble@3.3.0 r-rlang@1.1.6 r-memoise@2.0.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 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://github.com/mrkaye97/slackr
Licenses: Expat
Build system: r
Synopsis: Send Messages, Images, R Objects and Files to 'Slack' Channels/Users
Description:

Slack <https://slack.com/> provides a service for teams to collaborate by sharing messages, images, links, files and more. Functions are provided that make it possible to interact with the Slack platform API'. When you need to share information or data from R, rather than resort to copy/ paste in e-mails or other services like Skype <https://www.skype.com/en/>, you can use this package to send well-formatted output from multiple R objects and expressions to all teammates at the same time with little effort. You can also send images from the current graphics device, R objects, and upload files.

r-spsl 0.1-9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SPSL
Licenses: GPL 3
Build system: r
Synopsis: Site Percolation on Square Lattices (SPSL)
Description:

This package provides basic functionality for labeling iso- & anisotropic percolation clusters on 2D & 3D square lattices with various lattice sizes, occupation probabilities, von Neumann & Moore (1,d)-neighborhoods, and random variables weighting the percolation lattice sites.

r-slca 1.4.0
Propagated dependencies: r-rcpp@1.1.0 r-mass@7.3-65 r-magrittr@2.0.4 r-diagrammer@1.0.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://kim0sun.github.io/slca/
Licenses: GPL 3+
Build system: r
Synopsis: Structural Modeling for Multiple Latent Class Variables
Description:

This package provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) <doi:10.1002/9780470567333>, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) <doi:10.1111/j.1467-985x.2010.00674.x>, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) <doi:10.1080/10705511.2017.1340844>, and any other extended models involving multiple latent class variables.

r-svs 3.1.1
Propagated dependencies: r-matrix@1.7-4 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=svs
Licenses: GPL 3
Build system: r
Synopsis: Tools for Semantic Vector Spaces
Description:

Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis, EM clustering, logratio analysis and log-multiplicative (association) analysis. Furthermore, there are specialized distance measures, plotting functions and some helper functions.

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Total results: 69112