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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-sociome 3.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tidycensus@1.7.3 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-psych@2.5.6 r-mice@3.18.0 r-magrittr@2.0.4 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=sociome
Licenses: Expat
Build system: r
Synopsis: Operationalizing Social Determinants of Health Data for Researchers
Description:

Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.

r-sarp-moodle 1.2.3
Propagated dependencies: r-magick@2.9.0 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SARP.moodle
Licenses: Artistic License 2.0
Build system: r
Synopsis: XML Output Functions for Easy Creation of Moodle Questions
Description:

This package provides a set of basic functions for creating Moodle XML output files suited for importing questions in Moodle (a learning management system, see <https://moodle.org/> for more information).

r-simplephenotypes 1.3.0
Propagated dependencies: r-snprelate@1.44.0 r-mvtnorm@1.3-3 r-gdsfmt@1.46.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/samuelbfernandes/simplePHENOTYPES
Licenses: Expat
Build system: r
Synopsis: Simulation of Pleiotropic, Linked and Epistatic Phenotypes
Description:

The number of studies involving correlated traits and the availability of tools to handle this type of data has increased considerably in the last decade. With such a demand, we need tools for testing hypotheses related to single and multi-trait (correlated) phenotypes based on many genetic settings. Thus, we implemented various options for simulation of pleiotropy and Linkage Disequilibrium under additive, dominance and epistatic models. The simulation currently takes a marker data set as an input and then uses it for simulating multiple traits as described in Fernandes and Lipka (2020) <doi:10.1186/s12859-020-03804-y>.

r-stardom 1.1.30
Propagated dependencies: r-zoo@1.8-14 r-viridislite@0.4.2 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-readr@2.1.6 r-r-matlab@3.7.0 r-pracma@2.4.6 r-multiway@1.0-7 r-mba@0.1-2 r-matrixstats@1.5.0 r-gtools@3.9.5 r-ggplot2@4.0.1 r-ggally@2.4.0 r-foreach@1.5.2 r-eemr@1.0.2 r-drc@3.0-1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-cdom@0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=staRdom
Licenses: AGPL 3
Build system: r
Synopsis: PARAFAC Analysis of EEMs from DOM
Description:

This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.'.

r-superspreading 0.4.0
Propagated dependencies: r-rlang@1.1.6 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/epiverse-trace/superspreading
Licenses: Expat
Build system: r
Synopsis: Understand Individual-Level Variation in Infectious Disease Transmission
Description:

Estimate and understand individual-level variation in transmission. Implements density and cumulative compound Poisson discrete distribution functions (Kremer et al. (2021) <doi:10.1038/s41598-021-93578-x>), as well as functions to calculate infectious disease outbreak statistics given epidemiological parameters on individual-level transmission; including the probability of an outbreak becoming an epidemic/extinct (Kucharski et al. (2020) <doi:10.1016/S1473-3099(20)30144-4>), or the cluster size statistics, e.g. what proportion of cases cause X\% of transmission (Lloyd-Smith et al. (2005) <doi:10.1038/nature04153>).

r-simvitd 1.0.3
Propagated dependencies: r-simpleboot@1.1-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SimVitD
Licenses: GPL 2+
Build system: r
Synopsis: Simulation Tools for Planning Vitamin D Studies
Description:

Simulation tools for planning Vitamin D studies. Individual vitamin D status profiles are simulated, modelling population heterogeneity in trial arms. Exposures to infectious agents are generated, with infection depending on vitamin D status.

r-stochqn 0.1.2-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/david-cortes/stochQN
Licenses: FreeBSD
Build system: r
Synopsis: Stochastic Limited Memory Quasi-Newton Optimizers
Description:

Implementations of stochastic, limited-memory quasi-Newton optimizers, similar in spirit to the LBFGS (Limited-memory Broyden-Fletcher-Goldfarb-Shanno) algorithm, for smooth stochastic optimization. Implements the following methods: oLBFGS (online LBFGS) (Schraudolph, N.N., Yu, J. and Guenter, S., 2007 <http://proceedings.mlr.press/v2/schraudolph07a.html>), SQN (stochastic quasi-Newton) (Byrd, R.H., Hansen, S.L., Nocedal, J. and Singer, Y., 2016 <arXiv:1401.7020>), adaQN (adaptive quasi-Newton) (Keskar, N.S., Berahas, A.S., 2016, <arXiv:1511.01169>). Provides functions for easily creating R objects with partial_fit/predict methods from some given objective/gradient/predict functions. Includes an example stochastic logistic regression using these optimizers. Provides header files and registered C routines for using it directly from C/C++.

r-sslfmm 0.1.0
Propagated dependencies: r-mvtnorm@1.3-3 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=SSLfmm
Licenses: GPL 3
Build system: r
Synopsis: Semi-Supervised Learning under a Mixed-Missingness Mechanism in Finite Mixture Models
Description:

This package implements a semi-supervised learning framework for finite mixture models under a mixed-missingness mechanism. The approach models both missing completely at random (MCAR) and entropy-based missing at random (MAR) processes using a logisticâ entropy formulation. Estimation is carried out via an Expectationâ -Conditional Maximisation (ECM) algorithm with robust initialisation routines for stable convergence. The methodology relates to the statistical perspective and informative missingness behaviour discussed in Ahfock and McLachlan (2020) <doi:10.1007/s11222-020-09971-5> and Ahfock and McLachlan (2023) <doi:10.1016/j.ecosta.2022.03.007>. The package provides functions for data simulation, model estimation, prediction, and theoretical Bayes error evaluation for analysing partially labelled data under a mixed-missingness mechanism.

r-smatr 3.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://web.maths.unsw.edu.au/~dwarton
Licenses: GPL 2
Build system: r
Synopsis: (Standardised) Major Axis Estimation and Testing Routines
Description:

This package provides methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.

r-sanketphonetictranslator 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7 r-readr@2.1.6 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sanketphonetictranslator
Licenses: AGPL 3+
Build system: r
Synopsis: Phonetic Transliteration Between Hindi and English
Description:

Facilitate phonetic transliteration between different languages. With support for both Hindi and English, this package provides a way to convert text between Hindi and English dataset. Whether you're working with multilingual data or need to convert dataset for analysis or presentation purposes, it offers a simple and efficient solution and harness the power of phonetic transliteration in your projects with this versatile package.

r-smdata 1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smdata
Licenses: GPL 2
Build system: r
Synopsis: Data to Accompany Smithson & Merkle, 2013
Description:

This package contains data files to accompany Smithson & Merkle (2013), Generalized Linear Models for Categorical and Continuous Limited Dependent Variables.

r-ssym 1.5.8
Propagated dependencies: r-survival@3.8-3 r-sandwich@3.1-1 r-numderiv@2016.8-1.1 r-normalp@0.7.2.1 r-gigrvg@0.8 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ssym
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Fitting Semi-Parametric log-Symmetric Regression Models
Description:

Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.

r-stagedtrees 2.3.0
Propagated dependencies: r-rlang@1.1.6 r-matrixstats@1.5.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/stagedtrees/stagedtrees
Licenses: Expat
Build system: r
Synopsis: Staged Event Trees
Description:

This package creates and fits staged event tree probability models, which are probabilistic graphical models capable of representing asymmetric conditional independence statements for categorical variables. Includes functions to create, plot and fit staged event trees from data, as well as many efficient structure learning algorithms. References: Carli F, Leonelli M, Riccomagno E, Varando G (2022). <doi: 10.18637/jss.v102.i06>. Collazo R. A., Görgen C. and Smith J. Q. (2018, ISBN:9781498729604). Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018) <arXiv:1705.09457>. Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>. Barclay L. M., Hutton J. L. and Smith J. Q. (2013) <doi:10.1016/j.ijar.2013.05.006>. Smith J. Q. and Anderson P. E. (2008) <doi:10.1016/j.artint.2007.05.004>.

r-somenv 1.1.2
Propagated dependencies: r-shinycustomloader@0.9.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rlist@0.4.6.2 r-plyr@1.8.9 r-openair@2.19.0 r-kohonen@3.0.12 r-dplyr@1.1.4 r-colourpicker@1.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SomEnv/somenv
Licenses: GPL 3
Build system: r
Synopsis: SOM Algorithm for the Analysis of Multivariate Environmental Data
Description:

Analysis of multivariate environmental high frequency data by Self-Organizing Map and k-means clustering algorithms. By means of the graphical user interface it provides a comfortable way to elaborate by self-organizing map algorithm rather big datasets (txt files up to 100 MB ) obtained by environmental high-frequency monitoring by sensors/instruments. The functions present in the package are based on kohonen and openair packages implemented by functions embedding Vesanto et al. (2001) <http://www.cis.hut.fi/projects/somtoolbox/package/papers/techrep.pdf> heuristic rules for map initialization parameters, k-means clustering algorithm and map features visualization. Cluster profiles visualization as well as graphs dedicated to the visualization of time-dependent variables Licen et al. (2020) <doi:10.4209/aaqr.2019.08.0414> are provided.

r-stratifiedbalancing 0.3.0
Propagated dependencies: r-plyr@1.8.9 r-bnlearn@5.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=StratifiedBalancing
Licenses: GPL 2+
Build system: r
Synopsis: Stratified Covariate Balancing
Description:

This package performs Stratified Covariate Balancing with Markov blanket feature selection and use of synthetic cases. See Alemi et al. (2016) <DOI:10.1111/1475-6773.12628>.

r-semaphore 1.2.0
Propagated dependencies: r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cmmr.github.io/semaphore/
Licenses: Expat
Build system: r
Synopsis: Shared Memory Atomic Operations
Description:

This package implements named semaphores from the boost C++ library <https://www.boost.org/> for interprocess communication. Multiple R sessions on the same host can block (with optional timeout) on a semaphore until it becomes positive, then atomically decrement it and unblock. Any session can increment the semaphore.

r-svsweave 1.0.0
Propagated dependencies: r-rmarkdown@2.30 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SciViews/svSweave
Licenses: GPL 2
Build system: r
Synopsis: 'SciViews' - 'Sweave', 'Knitr' and R Markdown Companion Functions
Description:

This package provides functions to enumerate and reference figures, tables and equations in R Markdown documents that do not support these features (thus not bookdown or quarto'. Supporting functions for using Sweave and Knitr with LyX'.

r-simplegraph 1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/gaborcsardi/simplegraph
Licenses: Expat
Build system: r
Synopsis: Simple Graph Data Types and Basic Algorithms
Description:

Simple classic graph algorithms for simple graph classes. Graphs may possess vertex and edge attributes. simplegraph has no dependencies and it is written entirely in R, so it is easy to install.

r-segregation 1.1.0
Propagated dependencies: r-rcppprogress@0.4.2 r-rcpp@1.1.0 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://elbersb.github.io/segregation/
Licenses: Expat
Build system: r
Synopsis: Entropy-Based Segregation Indices
Description:

Computes segregation indices, including the Index of Dissimilarity, as well as the information-theoretic indices developed by Theil (1971) <isbn:978-0471858454>, namely the Mutual Information Index (M) and Theil's Information Index (H). The M, further described by Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> and Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008>, is a measure of segregation that is highly decomposable. The package provides tools to decompose the index by units and groups (local segregation), and by within and between terms. The package also provides a method to decompose differences in segregation as described by Elbers (2021) <doi:10.1177/0049124121986204>. The package includes standard error estimation by bootstrapping, which also corrects for small sample bias. The package also contains functions for visualizing segregation patterns.

r-sdstudio 0.2.0
Propagated dependencies: r-surveydown@1.0.1 r-shinyace@0.4.4 r-shiny@1.11.1 r-rpostgres@1.4.8 r-pool@1.0.4 r-later@1.4.4 r-htmltools@0.5.8.1 r-dt@0.34.0 r-dotenv@1.0.3 r-dbi@1.2.3 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sdstudio.surveydown.org
Licenses: Expat
Build system: r
Synopsis: Companion Application for the 'surveydown' Survey Platform
Description:

Companion package that supports the surveydown survey platform (<https://surveydown.org>). The default method for working with a surveydown survey is to edit the plain text survey.qmd and app.R files. With sdstudio', you can create, preview and manage surveys with a shiny application as a graphical user interface.

r-samplingbook 1.2.4
Propagated dependencies: r-survey@4.4-8 r-sampling@2.11 r-pps@1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.samplingbook.manitz.org
Licenses: GPL 2+
Build system: r
Synopsis: Survey Sampling Procedures
Description:

Sampling procedures from the book Stichproben - Methoden und praktische Umsetzung mit R by Goeran Kauermann and Helmut Kuechenhoff (2010).

r-surelda 0.1.0-1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-proc@1.19.0.1 r-matrix@1.7-4 r-map@1.0.0 r-glmnet@4.1-10 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/celehs/sureLDA
Licenses: GPL 3
Build system: r
Synopsis: Novel Multi-Disease Automated Phenotyping Method for the EHR
Description:

This package provides a statistical learning method to simultaneously predict a range of target phenotypes using codified and natural language processing (NLP)-derived Electronic Health Record (EHR) data. See Ahuja et al (2020) JAMIA <doi:10.1093/jamia/ocaa079> for details.

r-surveysd 2.0.0
Propagated dependencies: r-rcpp@1.1.0 r-laeken@0.5.3 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/statistikat/surveysd
Licenses: GPL 2+
Build system: r
Synopsis: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Description:

Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.

r-sparsediscrim 0.3.0
Propagated dependencies: r-rlang@1.1.6 r-mvtnorm@1.3-3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-corpcor@1.6.10 r-bdsmatrix@1.3-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/topepo/sparsediscrim
Licenses: Expat
Build system: r
Synopsis: Sparse and Regularized Discriminant Analysis
Description:

This package provides a collection of sparse and regularized discriminant analysis methods intended for small-sample, high-dimensional data sets. The package features the High-Dimensional Regularized Discriminant Analysis classifier from Ramey et al. (2017) <arXiv:1602.01182>. Other classifiers include those from Dudoit et al. (2002) <doi:10.1198/016214502753479248>, Pang et al. (2009) <doi:10.1111/j.1541-0420.2009.01200.x>, and Tong et al. (2012) <doi:10.1093/bioinformatics/btr690>.

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Total results: 68658