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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-starnet 1.0.0
Propagated dependencies: r-survival@3.8-3 r-matrix@1.7-4 r-glmnet@4.1-10 r-cornet@1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rauschenberger/starnet/
Licenses: GPL 3
Build system: r
Synopsis: Stacked Elastic Net
Description:

This package implements stacked elastic net regression (Rauschenberger 2021 <doi:10.1093/bioinformatics/btaa535>). The elastic net generalises ridge and lasso regularisation (Zou 2005 <doi:10.1111/j.1467-9868.2005.00503.x>). Instead of fixing or tuning the mixing parameter alpha, we combine multiple alpha by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>).

r-somaticflags 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/CCICB/somaticflags
Licenses: Expat
Build system: r
Synopsis: Database of Somatic Flags
Description:

Database of genes which frequently sustain somatic mutations, but are unlikely to drive cancer.

r-sqlscore 0.1.4
Propagated dependencies: r-dbplyr@2.5.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/wwbrannon/sqlscore/
Licenses: Expat
Build system: r
Synopsis: Utilities for Generating SQL Queries from Model Objects
Description:

This package provides utilities for generating SQL queries (particularly CREATE TABLE statements) from R model objects. The most important use case is generating SQL to score a generalized linear model or related model represented as an R object, in which case the package handles parsing formula operators and including the model's response function.

r-shinydatetimepickers 1.2.0
Propagated dependencies: r-shiny@1.11.1 r-reactr@0.6.1 r-lubridate@1.9.4 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/stla/shinyDatetimePickers
Licenses: GPL 3
Build system: r
Synopsis: Some Datetime Pickers for 'Shiny'
Description:

This package provides three types of datetime pickers for usage in a Shiny UI. A datetime picker is an input field for selecting both a date and a time.

r-surf-vs 1.1.0.1
Propagated dependencies: r-survival@3.8-3 r-glmnet@4.1-10 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=SuRF.vs
Licenses: GPL 3
Build system: r
Synopsis: Subsampling Ranking Forward Selection (SuRF)
Description:

This package performs variable selection based on subsampling, ranking forward selection. Details of the method are published in Lihui Liu, Hong Gu, Johan Van Limbergen, Toby Kenney (2020) SuRF: A new method for sparse variable selection, with application in microbiome data analysis Statistics in Medicine 40 897-919 <doi:10.1002/sim.8809>. Xo is the matrix of predictor variables. y is the response variable. Currently only binary responses using logistic regression are supported. X is a matrix of additional predictors which should be scaled to have sum 1 prior to analysis. fold is the number of folds for cross-validation. Alpha is the parameter for the elastic net method used in the subsampling procedure: the default value of 1 corresponds to LASSO. prop is the proportion of variables to remove in the each subsample. weights indicates whether observations should be weighted by class size. When the class sizes are unbalanced, weighting observations can improve results. B is the number of subsamples to use for ranking the variables. C is the number of permutations to use for estimating the critical value of the null distribution. If the doParallel package is installed, the function can be run in parallel by setting ncores to the number of threads to use. If the default value of 1 is used, or if the doParallel package is not installed, the function does not run in parallel. display.progress indicates whether the function should display messages indicating its progress. family is a family variable for the glm() fitting. Note that the glmnet package does not permit the use of nonstandard link functions, so will always use the default link function. However, the glm() fitting will use the specified link. The default is binomial with logistic regression, because this is a common use case. pval is the p-value for inclusion of a variable in the model. Under the null case, the number of false positives will be geometrically distributed with this as probability of success, so if this parameter is set to p, the expected number of false positives should be p/(1-p).

r-sticky 0.5.6.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sticky
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Persist Attributes Across Data Operations
Description:

In base R, object attributes are lost when objects are modified by common data operations such as subset, filter, slice, append, extract etc. This packages allows objects to be marked as sticky and have attributes persisted during these operations or when inserted into or extracted from list-like or table-like objects.

r-staninside 0.0.4
Propagated dependencies: r-rappdirs@0.3.3 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/medewitt/staninside
Licenses: Expat
Build system: r
Synopsis: Facilitating the Use of 'Stan' Within Packages
Description:

Infrastructure and functions that can be used for integrating Stan (Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>) code into stand alone R packages which in turn use the CmdStan engine which is often accessed through CmdStanR'. Details given in Stan Development Team (2025) <https://mc-stan.org/cmdstanr/>. Using CmdStanR and pre-written Stan code can make package installation easy. Using staninside offers a way to cache user-compiled Stan models in user-specified directories reducing the need to recompile the same model multiple times.

r-sfcurve 1.0.0
Propagated dependencies: r-rcpp@1.1.0 r-colorramp2@0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jokergoo/sfcurve
Licenses: Expat
Build system: r
Synopsis: 2x2, 3x3 and Nxn Space-Filling Curves
Description:

Implementation of all possible forms of 2x2 and 3x3 space-filling curves, i.e., the generalized forms of the Hilbert curve <https://en.wikipedia.org/wiki/Hilbert_curve>, the Peano curve <https://en.wikipedia.org/wiki/Peano_curve> and the Peano curve in the meander type (Figure 5 in <https://eudml.org/doc/141086>). It can generates nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve.

r-sperich 1.5-9
Propagated dependencies: r-sp@2.2-0 r-raster@3.6-32 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sperich
Licenses: GPL 2+
Build system: r
Synopsis: Auxiliary Functions to Estimate Centers of Biodiversity
Description:

This package provides some easy-to-use functions to interpolate species range based on species occurrences and to estimate centers of biodiversity.

r-stabilo 0.1.1
Propagated dependencies: r-pracma@2.4.6 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=stabilo
Licenses: GPL 3
Build system: r
Synopsis: Stabilometric Signal Quantification
Description:

This package provides functions for stabilometric signal quantification. The input is a data frame containing the x, y coordinates of the center-of-pressure displacement. Jose Magalhaes de Oliveira (2017) <doi:10.3758/s13428-016-0706-4> "Statokinesigram normalization method"; T E Prieto, J B Myklebust, R G Hoffmann, E G Lovett, B M Myklebust (1996) <doi:10.1109/10.532130> "Measures of postural steadiness: Differences between healthy young and elderly adults"; L F Oliveira et al (1996) <doi:10.1088/0967-3334/17/4/008> "Calculation of area of stabilometric signals using principal component analisys".

r-shinymatrix 0.8.0
Propagated dependencies: r-shiny@1.11.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://inwtlab.github.io/shiny-matrix/
Licenses: Expat
Build system: r
Synopsis: Shiny Matrix Input Field
Description:

This package implements a custom matrix input field.

r-semanticdistance 0.1.1
Propagated dependencies: r-wesanderson@0.3.7 r-tm@0.7-16 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-textstem@0.1.4 r-textclean@0.9.3 r-stringr@1.6.0 r-stringi@1.8.7 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lsa@0.73.3 r-igraph@2.2.1 r-httr@1.4.7 r-dplyr@1.1.4 r-dendextend@1.19.1 r-cluster@2.1.8.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Reilly-ConceptsCognitionLab/SemanticDistance
Licenses: LGPL 3+
Build system: r
Synopsis: Compute Semantic Distance Between Text Constituents
Description:

Cleans and formats language transcripts guided by a series of transformation options (e.g., lemmatize words, omit stopwords, split strings across rows). SemanticDistance computes two distinct metrics of cosine semantic distance (experiential and embedding). These values reflect pairwise cosine distance between different elements or chunks of a language sample. SemanticDistance can process monologues (e.g., stories, ordered text), dialogues (e.g., conversation transcripts), word pairs arrayed in columns, and unordered word lists. Users specify options for how they wish to chunk distance calculations. These options include: rolling ngram-to-word distance (window of n-words to each new word), ngram-to-ngram distance (2-word chunk to the next 2-word chunk), pairwise distance between words arrayed in columns, matrix comparisons (i.e., all possible pairwise distances between words in an unordered list), turn-by-turn distance (talker to talker in a dialogue transcript). SemanticDistance includes visualization options for analyzing distances as time series data and simple semantic network dynamics (e.g., clustering, undirected graph network).

r-sisvive 1.4
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=sisVIVE
Licenses: GPL 2
Build system: r
Synopsis: Some Invalid Some Valid Instrumental Variables Estimator
Description:

Selects invalid instruments amongst a candidate of potentially bad instruments. The algorithm selects potentially invalid instruments and provides an estimate of the causal effect between exposure and outcome.

r-snpaimer 2.1.1
Propagated dependencies: r-yaml@2.3.10 r-withr@3.0.2 r-tidyr@1.3.1 r-readr@2.1.6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-foreach@1.5.2 r-forcats@1.0.1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/OksanaVe/snpAIMeR
Licenses: Expat
Build system: r
Synopsis: Assess the Diagnostic Power of Genomic Marker Combinations
Description:

Population genetics package for designing diagnostic panels. Candidate markers, marker combinations, and different panel sizes are assessed for how well they can predict the source population of known samples. Requires a genotype file of candidate markers in STRUCTURE format. Methods for population cross-validation are described in Jombart (2008) <doi:10.1093/bioinformatics/btn129>.

r-statdataml 1.0-27
Propagated dependencies: r-xml@3.99-0.20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=StatDataML
Licenses: GPL 2
Build system: r
Synopsis: Read and Write StatDataML Files
Description:

Support for reading and writing files in StatDataML---an XML-based data exchange format.

r-scstability 1.0.3
Propagated dependencies: r-vegan@2.7-2 r-uwot@0.2.4 r-seurat@5.3.1 r-rtsne@0.17 r-rlang@1.1.6 r-pcapp@2.0-5 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-aricode@1.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scStability
Licenses: Expat
Build system: r
Synopsis: Measuring the Stability of Dimension Reduction and Cluster Assignment in scRNA-Seq Experiments
Description:

This package provides functions for evaluating the stability of low-dimensional embeddings and cluster assignments in singleâ cell RNA sequencing (scRNAâ seq) datasets. Starting from a principal component analysis (PCA) object, users can generate multiple replicates of tâ Distributed Stochastic Neighbor Embedding (tâ SNE) or Uniform Manifold Approximation and Projection (UMAP) embeddings. Embedding stability is quantified by computing pairwise Kendallâ s Tau correlations across replicates and summarizing the distribution of correlation coefficients. In addition to dimensionality reduction, scStability assesses clustering consistency using either Louvain or Leiden algorithms and calculating the Normalized Mutual Information (NMI) between all pairs of cluster assignments. For background on UMAP and t-SNE algorithms, see McInnes et al. (2020, <doi:10.21105/joss.00861>) and van der Maaten & Hinton (2008, <https://github.com/lvdmaaten/bhtsne>), respectively.

r-sudokualt 0.2-1
Propagated dependencies: r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sudokuAlt
Licenses: GPL 2+
Build system: r
Synopsis: Tools for Making and Spoiling Sudoku Games
Description:

This package provides tools for making, retrieving, displaying and solving sudoku games. This package is an alternative to the earlier sudoku-solver package, sudoku'. The present package uses a slightly different algorithm, has a simpler coding and presents a few more sugar tools, such as plot and print methods. Solved sudoku games are of some interest in Experimental Design as examples of Latin Square designs with additional balance constraints.

r-subrank 0.9.9.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=subrank
Licenses: GPL 3+
Build system: r
Synopsis: Computes Copula using Ranks and Subsampling
Description:

Estimation of copula using ranks and subsampling. The main feature of this method is that simulation studies show a low sensitivity to dimension, on realistic cases.

r-seminr 2.4.0
Propagated dependencies: r-webp@1.3.0 r-testthat@3.3.0 r-rmarkdown@2.30 r-lavaan@0.6-20 r-knitr@1.50 r-glue@1.8.0 r-diagrammersvg@0.1 r-diagrammer@1.0.11
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: Building and Estimating Structural Equation Models
Description:

This package provides a powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>).

r-survhe 2.0.51
Propagated dependencies: r-xlsx@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-rms@8.1-0 r-ggplot2@4.0.1 r-flexsurv@2.3.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/giabaio/survHE
Licenses: GPL 3+
Build system: r
Synopsis: Survival Analysis in Health Economic Evaluation
Description:

This package contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). To run the Bayesian models, the user needs to install additional modules (packages), i.e. survHEinla and survHEhmc'. These can be installed from <https://giabaio.r-universe.dev/> using install.packages("survHEhmc", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org")) and install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org")) respectively. survHEinla is based on the package INLA, which is available for download at <https://inla.r-inla-download.org/R/stable/>. The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners). <doi:10.18637/jss.v095.i14>.

r-stepmixr 0.1.3
Propagated dependencies: r-reticulate@1.44.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Labo-Lacourse/StepMixr
Licenses: GPL 2
Build system: r
Synopsis: Interface to 'Python' Package 'StepMix'
Description:

This is an interface for the Python package StepMix'. It is a Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods based on pseudolikelihood theory. Additional features include support for covariates and distal outcomes, various simulation utilities, and non-parametric bootstrapping, which allows inference in semi-supervised and unsupervised settings. Software paper available at <doi:10.18637/jss.v113.i08>.

r-schrute 1.0.1
Propagated dependencies: r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bradlindblad/schrute
Licenses: Expat
Build system: r
Synopsis: The Entire Transcript from the Office in Tidy Format
Description:

The complete scripts from the American version of the Office television show in tibble format. Use this package to analyze and have fun with text from the best series of all time.

r-shinyfullscreen 1.1.0
Propagated dependencies: r-shiny@1.11.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/etiennebacher/shinyfullscreen
Licenses: Expat
Build system: r
Synopsis: Display 'HTML' Elements on Full Screen in 'Shiny' Apps
Description:

In Shiny apps, it is sometimes useful to see a plot or a table in full screen. Using Shinyfullscreen', you can easily designate the HTML elements that can be displayed on fullscreen and use buttons to trigger the fullscreen view.

r-shapena 0.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shapeNA
Licenses: GPL 3
Build system: r
Synopsis: M-Estimation of Shape for Data with Missing Values
Description:

M-estimators of location and shape following the power family (Frahm, Nordhausen, Oja (2020) <doi:10.1016/j.jmva.2019.104569>) are provided in the case of complete data and also when observations have missing values together with functions aiding their visualization.

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