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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-scregclust 0.2.2
Propagated dependencies: r-rlang@1.1.6 r-reshape@0.8.10 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-prettyunits@1.2.0 r-matrix@1.7-4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://scmethods.github.io/scregclust/
Licenses: GPL 3+
Build system: r
Synopsis: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
Description:

Implementation of the scregclust algorithm described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3> which reconstructs regulatory programs of target genes in scRNA-seq data. Target genes are clustered into modules and each module is associated with a linear model describing the regulatory program.

r-ssimmap 0.1.1
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-scales@1.4.0 r-knitr@1.50 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/Hailyee-Ha/SSIMmap
Licenses: Expat
Build system: r
Synopsis: The Structural Similarity Index Measure for Maps
Description:

Extends the classical SSIM method proposed by Wang', Bovik', Sheikh', and Simoncelli'(2004) <doi:10.1109/TIP.2003.819861>. for irregular lattice-based maps and raster images. The geographical SSIM method incorporates well-developed geographically weighted summary statistics'('Brunsdon', Fotheringham and Charlton 2002) <doi:10.1016/S0198-9715(01)00009-6> with an adaptive bandwidth kernel function for irregular lattice-based maps.

r-srcpkgs 0.2
Propagated dependencies: r-testthat@3.3.0 r-pkgload@1.4.1 r-devtools@2.4.6 r-clitable@0.1.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/kforner/srcpkgs
Licenses: GPL 3+
Build system: r
Synopsis: R Source Packages Manager
Description:

Manage a collection/library of R source packages. Discover, document, load, test source packages. Enable to use those packages as if they were actually installed. Quickly reload only what is needed on source code change. Run tests and checks in parallel.

r-srlars 2.0.0
Propagated dependencies: r-robustbase@0.99-6 r-mvnfast@0.2.8 r-cellwise@2.5.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=srlars
Licenses: GPL 2+
Build system: r
Synopsis: Fast and Scalable Cellwise-Robust Ensemble
Description:

This package provides functions to perform robust variable selection and regression using the Fast and Scalable Cellwise-Robust Ensemble (FSCRE) algorithm. The approach establishes a robust foundation using the Detect Deviating Cells (DDC) algorithm and robust correlation estimates. It then employs a competitive ensemble architecture where a robust Least Angle Regression (LARS) engine proposes candidate variables and cross-validation arbitrates their assignment. A final robust MM-estimator is applied to the selected predictors.

r-smbdata 0.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/emitanaka/smbdata
Licenses: GPL 3+
Build system: r
Synopsis: Data from "Statistical Methods in Biology"
Description:

All data in the book "Statistical Methods in Biology" by Welham et al. (2015) <doi:10.1201/b17336> with a corresponding documentation and illustrative analysis of the data.

r-sffdr 1.1.0
Propagated dependencies: r-withr@3.0.2 r-qvalue@2.42.0 r-patchwork@1.3.2 r-locfit@1.5-9.12 r-ggplot2@4.0.1 r-fastglm@0.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ajbass/sffdr
Licenses: LGPL 2.0+
Build system: r
Synopsis: Surrogate Functional False Discovery Rates for Genome-Wide Association Studies
Description:

Pleiotropy-informed significance analysis of genome-wide association studies with surrogate functional false discovery rates (sfFDR). The sfFDR framework adapts the fFDR to leverage informative data from multiple sets of GWAS summary statistics to increase power in study while accommodating for linkage disequilibrium. sfFDR provides estimates of key FDR quantities in a significance analysis such as the functional local FDR and $q$-value, and uses these estimates to derive a functional $p$-value for type I error rate control and a functional local Bayes factor for post-GWAS analyses (e.g., fine mapping and colocalization).

r-scoringrules 1.1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/FK83/scoringRules
Licenses: GPL 2+
Build system: r
Synopsis: Scoring Rules for Parametric and Simulated Distribution Forecasts
Description:

Dictionary-like reference for computing scoring rules in a wide range of situations. Covers both parametric forecast distributions (such as mixtures of Gaussians) and distributions generated via simulation. Further details can be found in the package vignettes <doi:10.18637/jss.v090.i12>, <doi:10.18637/jss.v110.i08>.

r-sgboost 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-mboost@2.9-11 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/FabianObster/sgboost
Licenses: Expat
Build system: r
Synopsis: Sparse-Group Boosting
Description:

Sparse-group boosting to be used in conjunction with the mboost for modeling grouped data. Applicable to all sparse-group lasso type problems where within-group and between-group sparsity is desired. Interprets and visualizes individual variables and groups.

r-stilt 1.3.1
Propagated dependencies: r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stilt
Licenses: GPL 3
Build system: r
Synopsis: Separable Gaussian Process Interpolation (Emulation)
Description:

This package provides functions for simplified emulation of time series computer model output in model parameter space using Gaussian processes. Stilt can be used more generally for Kriging of spatio-temporal fields. There are functions to predict at new parameter settings, to test the emulator using cross-validation (which includes information on 95% confidence interval empirical coverage), and to produce contour plots over 2D slices in model parameter space.

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-seqhmm 2.1.0
Propagated dependencies: r-traminer@2.2-13 r-rlang@1.1.6 r-rcpphungarian@0.3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progressr@0.18.0 r-patchwork@1.3.2 r-numderiv@2016.8-1.1 r-nloptr@2.2.1 r-matrix@1.7-4 r-lhs@1.2.0 r-igraph@2.2.1 r-gridbase@0.4-7 r-ggseqplot@0.8.9 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-data-table@1.17.8 r-collapse@2.1.5 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=seqHMM
Licenses: GPL 2+
Build system: r
Synopsis: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series
Description:

Designed for estimating variants of hidden (latent) Markov models (HMMs), mixture HMMs, and non-homogeneous HMMs (NHMMs) for social sequence data and other categorical time series. Special cases include feedback-augmented NHMMs, Markov models without latent layer, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models as well as initial, transition and emission probabilities in NHMMs. The package provides functions for evaluating and comparing models, as well as functions for visualizing of multichannel sequence data and HMMs. For NHMMs, methods for computing average causal effects and marginal state and emission probabilities are available. Models are estimated using maximum likelihood via the EM algorithm or direct numerical maximization with analytical gradients. Documentation is available via several vignettes, and Helske and Helske (2019, <doi:10.18637/jss.v088.i03>). For methodology behind the NHMMs, see Helske (2025, <doi:10.48550/arXiv.2503.16014>).

r-smithwilsonyieldcurve 1.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SmithWilsonYieldCurve
Licenses: GPL 3
Build system: r
Synopsis: Smith-Wilson Yield Curve Construction
Description:

Constructs a yield curve by the Smith-Wilson method from a table of libor and swap rates. Now updated to take bond coupons and prices in the same table.

r-spemd 0.1-1
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0 r-mba@0.1-2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/pierreroudier/spemd
Licenses: GPL 3
Build system: r
Synopsis: Bi-Dimensional Implementation of the Empirical Mode Decomposition for Spatial Data
Description:

This implementation of the Empirical Mode Decomposition (EMD) works in 2 dimensions simultaneously, and can be applied on spatial data. It can handle both gridded or un-gridded datasets.

r-stepp 3.2.7
Propagated dependencies: r-survival@3.8-3 r-scales@1.4.0 r-rstudioapi@0.17.1 r-car@3.1-3
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: Subpopulation Treatment Effect Pattern Plot (STEPP)
Description:

This package provides a method to explore the treatment-covariate interactions in survival or generalized linear model (GLM) for continuous, binomial and count data arising from two or more treatment arms of a clinical trial. A permutation distribution approach to inference is implemented, based on permuting the covariate values within each treatment group.

r-sketcher 0.1.3
Propagated dependencies: r-stringr@1.6.0 r-readbitmap@0.1.5 r-png@0.1-8 r-magrittr@2.0.4 r-jpeg@0.1-11 r-imager@1.0.5 r-dplyr@1.1.4 r-downloader@0.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://htsuda.net/sketcher/
Licenses: Expat
Build system: r
Synopsis: Pencil Sketch Effect
Description:

An implementation of image processing effects that convert a photo into a line drawing image. For details, please refer to Tsuda, H. (2020). sketcher: An R package for converting a photo into a sketch style image. <doi:10.31234/osf.io/svmw5>.

r-statebins 1.4.0
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gitlab.com/hrbrmstr/statebins
Licenses: Expat
Build system: r
Synopsis: Create United States Uniform Cartogram Heatmaps
Description:

The cartogram heatmaps generated by the included methods are an alternative to choropleth maps for the United States and are based on work by the Washington Post graphics department in their report on "The states most threatened by trade" (<http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/>). "State bins" preserve as much of the geographic placement of the states as possible but have the look and feel of a traditional heatmap. Functions are provided that allow for use of a binned, discrete scale, a continuous scale or manually specified colors depending on what is needed for the underlying data.

r-sohpie 1.0.6
Propagated dependencies: r-robustbase@0.99-6 r-gtools@3.9.5 r-fdrtool@1.2.18 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=SOHPIE
Licenses: GPL 3
Build system: r
Synopsis: Statistical Approach via Pseudo-Value Information and Estimation
Description:

SOHPIE (pronounced as SOFIE) is a novel pseudo-value regression approach for differential co-abundance network analysis of microbiome data, which can include additional clinical covariate in the model. The full methodological details can be found in Ahn S and Datta S (2023) <arXiv:2303.13702v1>.

r-sievetest 1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sievetest
Licenses: GPL 2+
Build system: r
Synopsis: Laboratory Sieve Test Reporting Functions
Description:

This package provides functions for making particle-size analysis. Sieve tests are widely used to obtain particle-size distribution of powders or granular materials.

r-sweep 0.2.6
Propagated dependencies: r-timetk@2.9.1 r-tibble@3.3.0 r-rlang@1.1.6 r-forecast@8.24.0 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://business-science.github.io/sweep/
Licenses: GPL 3+
Build system: r
Synopsis: Tidy Tools for Forecasting
Description:

Tidies up the forecasting modeling and prediction work flow, extends the broom package with sw_tidy', sw_glance', sw_augment', and sw_tidy_decomp functions for various forecasting models, and enables converting forecast objects to "tidy" data frames with sw_sweep'.

r-super 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://timtaylor.codeberg.page/super/
Licenses: Expat
Build system: r
Synopsis: Interpreted String Literals
Description:

An implementation of interpreted string literals. Based on the glue package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but with a focus on efficiency and simplicity at a cost of flexibility.

r-schoenberg 2.0.3
Propagated dependencies: r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=schoenberg
Licenses: GPL 3+
Build system: r
Synopsis: Tools for 12-Tone Musical Composition
Description:

This package provides functions for creating and manipulating 12-tone (i.e., dodecaphonic) musical matrices using Arnold Schoenberg's (1923) serialism technique. This package can generate random 12-tone matrices and can generate matrices using a pre-determined sequence of notes.

r-splinetree 0.2.0
Propagated dependencies: r-treeclust@1.1-7.1 r-rpart@4.1.24 r-nlme@3.1-168 r-mosaic@1.9.2 r-mclust@6.1.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/anna-neufeld/splinetree
Licenses: Expat
Build system: r
Synopsis: Longitudinal Regression Trees and Forests
Description:

Builds regression trees and random forests for longitudinal or functional data using a spline projection method. Implements and extends the work of Yu and Lambert (1999) <doi:10.1080/10618600.1999.10474847>. This method allows trees and forests to be built while considering either level and shape or only shape of response trajectories.

r-sunclarco 1.0.0
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=Sunclarco
Licenses: GPL 3
Build system: r
Synopsis: Survival Analysis using Copulas
Description:

Survival analysis for unbalanced clusters using Archimedean copulas (Prenen et al. (2016) <DOI:10.1111/rssb.12174>).

r-symts 1.0-2
Dependencies: gsl@2.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SymTS
Licenses: GPL 3+
Build system: r
Synopsis: Symmetric Tempered Stable Distributions
Description:

This package contains methods for simulation and for evaluating the pdf, cdf, and quantile functions for symmetric stable, symmetric classical tempered stable, and symmetric power tempered stable distributions.

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