_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-sensory 1.1
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 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=sensory
Licenses: GPL 2+
Build system: r
Synopsis: Simultaneous Model-Based Clustering and Imputation via a Progressive Expectation-Maximization Algorithm
Description:

This package contains the function CUUimpute() which performs model-based clustering and imputation simultaneously.

r-settings 0.2.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/markvanderloo/settings
Licenses: GPL 3
Build system: r
Synopsis: Software Option Settings Manager for R
Description:

This package provides option settings management that goes beyond R's default options function. With this package, users can define their own option settings manager holding option names, default values and (if so desired) ranges or sets of allowed option values that will be automatically checked. Settings can then be retrieved, altered and reset to defaults with ease. For R programmers and package developers it offers cloning and merging functionality which allows for conveniently defining global and local options, possibly in a multilevel options hierarchy. See the package vignette for some examples concerning functions, S4 classes, and reference classes. There are convenience functions to reset par() and options() to their factory defaults'.

r-sshaped 1.2
Propagated dependencies: 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://cran.r-project.org/package=Sshaped
Licenses: GPL 2
Build system: r
Synopsis: Nonparametric, Tuning-Free Estimation of S-Shaped Functions
Description:

Estimation of an S-shaped function and its corresponding inflection point via a least squares approach. A sequential mixed primal-dual based algorithm is implemented for the fast computation. Details can be found in Feng et al. (2022) <doi:10.1111/rssb.12481>.

r-sqlhelpers 0.1.2
Propagated dependencies: r-toolbox@0.1.1 r-stringi@1.8.7 r-odbc@1.6.4.1 r-dbi@1.2.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sqlHelpers
Licenses: GPL 3+
Build system: r
Synopsis: Collection of 'SQL' Utilities for 'T-SQL' and 'Postgresql'
Description:

Includes functions for interacting with common meta data fields, writing insert statements, calling functions, and more for T-SQL and Postgresql'.

r-svdialogstcltk 1.0.1
Propagated dependencies: r-svgui@1.0.2 r-svdialogs@1.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SciViews/svDialogstcltk
Licenses: GPL 2
Build system: r
Synopsis: 'SciViews::R' - Standard Dialog Boxes using Tcl/Tk
Description:

Reimplementation of the svDialogs dialog boxes in Tcl/Tk.

r-simplifynet 0.0.1
Propagated dependencies: r-sanic@0.0.2 r-matrix@1.7-4 r-igraph@2.2.1 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=simplifyNet
Licenses: GPL 3+
Build system: r
Synopsis: Network Sparsification
Description:

Network sparsification with a variety of novel and known network sparsification techniques. All network sparsification techniques reduce the number of edges, not the number of nodes. Network sparsification is sometimes referred to as network dimensionality reduction. This package is based on the work of Spielman, D., Srivastava, N. (2009)<arXiv:0803.0929>. Koutis I., Levin, A., Peng, R. (2013)<arXiv:1209.5821>. Toivonen, H., Mahler, S., Zhou, F. (2010)<doi:10.1007>. Foti, N., Hughes, J., Rockmore, D. (2011)<doi:10.1371>.

r-sparklyr-flint 0.2.2
Propagated dependencies: r-sparklyr@1.9.3 r-rlang@1.1.6 r-dplyr@1.1.4 r-dbplyr@2.5.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: <https://github.com/r-spark/sparklyr.flint>
Licenses: ASL 2.0
Build system: r
Synopsis: Sparklyr Extension for 'Flint'
Description:

This sparklyr extension makes Flint time series library functionalities (<https://github.com/twosigma/flint>) easily accessible through R.

r-shotgroups 0.8.4
Propagated dependencies: r-kernsmooth@2.23-26 r-compquadform@1.4.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shotGroups
Licenses: GPL 2+
Build system: r
Synopsis: Analyze Shot Group Data
Description:

Analyzes shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. Implements distributions for radial error in bivariate normal variables. Works with files exported by OnTarget PC/TDS', Silver Mountain e-target, ShotMarker e-target, SIUS e-target, or Taran', as well as with custom data files in text format. Supports inference from range statistics such as extreme spread. Includes a set of web-based graphical user interfaces.

r-shinipsum 0.1.1
Propagated dependencies: r-plotly@4.11.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dygraphs@1.1.1.6 r-dt@0.34.0 r-attempt@0.3.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Thinkr-open/shinipsum
Licenses: Expat
Build system: r
Synopsis: Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping
Description:

Prototype your shiny apps quickly with these Lorem-Ipsum-like Helpers.

r-seasepi 0.0.3
Propagated dependencies: r-ngspatial@1.2-2 r-mvtnorm@1.3-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SeasEpi
Licenses: Expat
Build system: r
Synopsis: Spatiotemporal Modeling of Seasonal Infectious Disease
Description:

Spatiotemporal individual-level model of seasonal infectious disease transmission within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model seasonal infectious disease transmission. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. In addition to model fitting and parameter estimation, the package offers functions for calculating AIC using real pandemic data and conducting simulation studies customized to user-specified model configurations.

r-sillyputty 0.4.2
Propagated dependencies: r-thresher@1.1.5 r-polychrome@1.5.4 r-oompabase@3.2.10 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: Silly Putty Clustering
Description:

This package implements a simple, novel clustering algorithm based on optimizing the silhouette width. See <doi:10.1101/2023.11.07.566055> for details.

r-selindrix 0.1.2
Propagated dependencies: r-psych@2.5.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/venkatesanraja/seliNDRIx
Licenses: Expat
Build system: r
Synopsis: Construction of Selection Index
Description:

Selection index is one of the efficient and acurrate method for selection of animals. This package is useful for construction of selection indices. It uses mixed and random model least squares analysis to estimate the heritability of traits and genetic correlation between traits. The package uses the sire model as it is considered as random effect. The genetic and phenotypic (co)variances along with the relative economic values are used to construct the selection index for any number of traits. It also estimates the accuracy of the index and the genetic gain expected for different traits. Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>.

r-startupmsg 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=startupmsg
Licenses: LGPL 3
Build system: r
Synopsis: Utilities for Start-Up Messages
Description:

This package provides utilities to create or suppress start-up messages.

r-shinybody 0.1.3
Propagated dependencies: r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-crosstalk@1.2.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/robert-norberg/shinybody
Licenses: Expat
Build system: r
Synopsis: An Interactive Anatomography Widget for 'shiny'
Description:

An htmlwidget of the human body that allows you to hide/show and assign colors to 79 different body parts. The human widget is an htmlwidget', so it works in Quarto documents, R Markdown documents, or any other HTML medium. It also functions as an input/output widget in a shiny app.

r-sparsevb 0.1.1
Propagated dependencies: r-selectiveinference@1.2.5 r-rcppensmallen@0.3.10.0.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sparsevb
Licenses: GPL 3+
Build system: r
Synopsis: Spike-and-Slab Variational Bayes for Linear and Logistic Regression
Description:

This package implements variational Bayesian algorithms to perform scalable variable selection for sparse, high-dimensional linear and logistic regression models. Features include a novel prioritized updating scheme, which uses a preliminary estimator of the variational means during initialization to generate an updating order prioritizing large, more relevant, coefficients. Sparsity is induced via spike-and-slab priors with either Laplace or Gaussian slabs. By default, the heavier-tailed Laplace density is used. Formal derivations of the algorithms and asymptotic consistency results may be found in Kolyan Ray and Botond Szabo (JASA 2020) and Kolyan Ray, Botond Szabo, and Gabriel Clara (NeurIPS 2020).

r-sparser 0.3.2
Propagated dependencies: r-rlang@1.1.6 r-recipes@1.3.1 r-ncvreg@3.16.0 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://petersonr.github.io/sparseR/
Licenses: GPL 3
Build system: r
Synopsis: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
Description:

An implementation of ranked sparsity methods, including penalized regression methods such as the sparsity-ranked lasso, its non-convex alternatives, and elastic net, as well as the sparsity-ranked Bayesian Information Criterion. As described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7>, ranked sparsity is a philosophy with methods primarily useful for variable selection in the presence of prior informational asymmetry, which occurs in the context of trying to perform variable selection in the presence of interactions and/or polynomials. Ultimately, this package attempts to facilitate dealing with cumbersome interactions and polynomials while not avoiding them entirely. Typically, models selected under ranked sparsity principles will also be more transparent, having fewer falsely selected interactions and polynomials than other methods.

r-svmd 0.1.0
Propagated dependencies: r-vmdecomp@1.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SVMD
Licenses: GPL 3
Build system: r
Synopsis: Spearman Variational Mode Decomposition
Description:

In practice, it is difficult to determine the number of decomposition modes, K, for Variational Mode Decomposition (VMD). To overcome this issue, this study offers Spearman Variational Mode Decomposition (SVMD), a method that uses the Spearman correlation coefficient to calculate the ideal mode number. Unlike the Pearson correlation coefficient, which only returns a perfect value when X and Y are linearly connected, the Spearman correlation can be calculated without knowing the probability distributions of X and Y. The Spearman correlation coefficient, also called Spearman's rank correlation coefficient, is a subset of a wider correlation coefficient. As VMD decomposes a signal, the Spearman correlation coefficient between the reconstructed and original sequences rises as the mode number K increases. Once the signal has been fully decomposed, subsequent increases in K cause the correlation to gradually level off. When the correlation reaches a specific level, VMD is said to have adequately decomposed the signal. Numerous experiments revealed that a threshold of 0.997 produces the best denoising effect, so the threshold is set at 0.997. This package has been developed using concept of Yang et al. (2021)<doi:10.1016/j.aej.2021.01.055>.

r-simph 1.3.15
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-quadprog@1.5-8 r-mgcv@1.9-4 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://CRAN.R-project.org/package=simPH
Licenses: GPL 3
Build system: r
Synopsis: Simulate and Plot Estimates from Cox Proportional Hazards Models
Description:

Simulates and plots quantities of interest (relative hazards, first differences, and hazard ratios) for linear coefficients, multiplicative interactions, polynomials, penalised splines, and non-proportional hazards, as well as stratified survival curves from Cox Proportional Hazard models. It also simulates and plots marginal effects for multiplicative interactions. Methods described in Gandrud (2015) <doi:10.18637/jss.v065.i03>.

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-spicy 0.4.1
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-rlang@1.1.6 r-labelled@2.16.0 r-haven@2.5.5 r-dt@0.34.0 r-dplyr@1.1.4 r-crayon@1.5.3 r-collapse@2.1.5 r-clipr@0.8.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/amaltawfik/spicy/
Licenses: Expat
Build system: r
Synopsis: Descriptive Statistics and Data Management Tools
Description:

Extracts and summarizes metadata from data frames, including variable names, labels, types, and missing values. Computes compact descriptive statistics, frequency tables, and cross-tabulations to assist with efficient data exploration. Includes an interactive and exportable codebook generator for documenting variable metadata. Facilitates the identification of missing data patterns and structural issues in datasets. Designed to streamline initial data management and exploratory analysis workflows within R'.

r-semverutils 0.1.0
Propagated dependencies: r-r6@2.6.1 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ajwtech/semverutils
Licenses: Expat
Build system: r
Synopsis: Semantic Version Utilities
Description:

Semantic Versions allow for standardized management versions. This package implements semantic versioning handling in R. using R6 to create a mutable object that can handle deciphering and checking versions.

r-shinyinvoice 0.0.5
Dependencies: pandoc@2.19.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-shiny@1.11.1 r-rlang@1.1.6 r-quantmod@0.4.28 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/fernandoroa/invoice-public
Licenses: GPL 2+
Build system: r
Synopsis: Shiny App - Generate a Pdf Invoice with 'Rmarkdown'
Description:

Generate an invoice containing a header with invoice number and businesses details. The invoice table contains any of: salary, one-liner costs, grouped costs. Under the table signature and bank account details appear. Pages are numbered when more than one. Source .json and .Rmd files are editable in the app. A .csv file with raw data can be downloaded. This package includes functions for getting exchange rates between currencies based on quantmod (Ryan and Ulrich, 2023 <https://CRAN.R-project.org/package=quantmod>).

r-scorepeak 0.1.2
Propagated dependencies: r-rcpp@1.1.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ShotaOchi/scorepeak
Licenses: GPL 3
Build system: r
Synopsis: Peak Functions for Peak Detection in Univariate Time Series
Description:

This package provides peak functions, which enable us to detect peaks in time series. The methods implemented in this package are based on Girish Keshav Palshikar (2009) <https://www.researchgate.net/publication/228853276_Simple_Algorithms_for_Peak_Detection_in_Time-Series>.

r-spinar 0.2.0
Propagated dependencies: r-progress@1.2.3 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/MFaymon/spINAR
Licenses: GPL 3+
Build system: r
Synopsis: (Semi)Parametric Estimation and Bootstrapping of INAR Models
Description:

Semiparametric and parametric estimation of INAR models including a finite sample refinement (Faymonville et al. (2022) <doi:10.1007/s10260-022-00655-0>) for the semiparametric setting introduced in Drost et al. (2009) <doi:10.1111/j.1467-9868.2008.00687.x>, different procedures to bootstrap INAR data (Jentsch, C. and Weiƃ , C.H. (2017) <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data.

Page: 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887
Total results: 21283