_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-shrinktvp 3.1.1
Propagated dependencies: r-zoo@1.8-14 r-stochvol@3.2.9 r-rcppprogress@0.4.2 r-rcppgsl@0.3.13 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-gigrvg@0.8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shrinkTVP
Licenses: GPL 2+
Build system: r
Synopsis: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage
Description:

Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020> and Knaus and Frühwirth-Schnatter (2023) <doi:10.48550/arXiv.2312.10487>. For details on the package, please see Knaus et al. (2021) <doi:10.18637/jss.v100.i13>. For the multivariate extension, see the shrinkTVPVAR package.

r-shelltrace 3.5.1
Propagated dependencies: r-xlsx@0.6.5 r-tiff@0.1-12 r-bmp@0.3.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/nielsjdewinter/ShellTrace
Licenses: GPL 3
Build system: r
Synopsis: Bivalve Growth and Trace Element Accumulation Model
Description:

This package contains all the formulae of the growth and trace element uptake model described in the equally-named Geoscientific Model Development paper (de Winter, 2017, <doi:10.5194/gmd-2017-137>). The model takes as input a file with X- and Y-coordinates of digitized growth increments recognized on a longitudinal cross section through the bivalve shell, as well as a BMP file of an elemental map of the cross section surface with chemically distinct phases separated by phase analysis. It proceeds by a step-by-step process described in the paper, by which digitized growth increments are used to calculate changes in shell height, shell thickness, shell volume, shell mass and shell growth rate through the bivalve's life time. Then, results of this growth modelling are combined with the trace element mapping results to trace the incorporation of trace elements into the bivalve shell. Results of various modelling parameters can be exported in the form of XLSX files.

r-shinybrowser 1.0.0
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinybrowser
Licenses: Expat
Build system: r
Synopsis: Find Out Information About a User's Web Browser in 'Shiny'
Description:

Sometimes it's useful to know some information about your user in a Shiny app. The available information is: browser name (such as Chrome or Safari') and version, device type (mobile or desktop), operating system (such as Windows or Mac or Android') and version, and browser dimensions.

r-shiny-destroy 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shiny.destroy
Licenses: Expat
Build system: r
Synopsis: Create Destroyable Modules in 'Shiny'
Description:

Enables the complete removal of various Shiny components, such as inputs, outputs and modules. It also aids in the removal of observers that have been created in dynamically created modules.

r-specsverification 0.5-3
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=SpecsVerification
Licenses: GPL 2+
Build system: r
Synopsis: Forecast Verification Routines for Ensemble Forecasts of Weather and Climate
Description:

This package provides a collection of forecast verification routines developed for the SPECS FP7 project. The emphasis is on comparative verification of ensemble forecasts of weather and climate.

r-sfdep 0.2.5
Propagated dependencies: r-spdep@1.4-1 r-sf@1.0-23 r-rlang@1.1.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sfdep.josiahparry.com
Licenses: GPL 3
Build system: r
Synopsis: Spatial Dependence for Simple Features
Description:

An interface to spdep to integrate with sf objects and the tidyverse'.

r-seguid 0.1.0
Propagated dependencies: r-digest@0.6.39 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.seguid.org/
Licenses: Expat
Build system: r
Synopsis: Sequence Globally Unique Identifier (SEGUID) Checksums
Description:

Implementation of the original Sequence Globally Unique Identifier (SEGUID) algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support for linear, circular, single- and double-stranded biological sequences, e.g. DNA, RNA, and proteins.

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-sbmtrees 1.5
Propagated dependencies: r-sn@2.1.1 r-rcppprogress@0.4.2 r-rcppdist@0.1.1.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pg@0.2.4 r-nnet@7.3-20 r-mvtnorm@1.3-3 r-mice@3.18.0 r-matrix@1.7-4 r-mass@7.3-65 r-lme4@1.1-37 r-dplyr@1.1.4 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SBMTrees
Licenses: GPL 2
Build system: r
Synopsis: Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data
Description:

This package implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.

r-segenvineq 1.2
Propagated dependencies: r-spdep@1.4-1 r-sf@1.0-23 r-outliers@0.15 r-oasisr@3.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SegEnvIneq
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Environmental Inequality Indices Based on Segregation Measures
Description:

This package provides a set of segregation-based indices and randomization methods to make robust environmental inequality assessments, as described in Schaeffer and Tivadar (2019) "Measuring Environmental Inequalities: Insights from the Residential Segregation Literature" <doi:10.1016/j.ecolecon.2019.05.009>.

r-spacemodr 0.1.3
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-httr@1.4.7 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=spacemodR
Licenses: Expat
Build system: r
Synopsis: Workflow for Environmental Risk Assessment: Habitat, Food Web, Dispersal, Exposure and Risk
Description:

This package provides a set of tools dedicated to modeling food web transfer based on an initial ground raster. It provides a directed acyclic graph structure for a set of rasters representing the flow of elements (e.g., food, energy, contaminants). It also includes tools for working with dispersal algorithms, enabling the combination of flux data with population movement.

r-snvecr 3.10.1
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-glue@1.8.0 r-dplyr@1.1.4 r-desolve@1.40 r-cli@3.6.5 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://japhir.github.io/snvecR/
Licenses: GPL 3+
Build system: r
Synopsis: Calculate Earth’s Obliquity and Precession in the Past
Description:

Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the C'-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the C'-routine is snvec', which refers to the key units of computation: spin vector s and orbit normal vector n.

r-smartsheetr 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-memoise@2.0.1 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=smartsheetr
Licenses: Expat
Build system: r
Synopsis: Access and Write 'Smartsheet' Data using the 'Smartsheet' API 2.0
Description:

Interact with the Smartsheet platform through the Smartsheet API 2.0. <https://smartsheet.redoc.ly/>. API is an acronym for application programming interface; the Smartsheet API allows users to interact with Smartsheet sheets directly within R.

r-stdvectors 0.0.5
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/digEmAll/stdvectors
Licenses: GPL 2+
Build system: r
Synopsis: C++ Standard Library Vectors in R
Description:

Allows the creation and manipulation of C++ std::vector's in R.

r-stringx 0.2.9
Propagated dependencies: r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://stringx.gagolewski.com/
Licenses: GPL 2+
Build system: r
Synopsis: Replacements for Base String Functions Powered by 'stringi'
Description:

English is the native language for only 5% of the World population. Also, only 17% of us can understand this text. Moreover, the Latin alphabet is the main one for merely 36% of the total. The early computer era, now a very long time ago, was dominated by the US. Due to the proliferation of the internet, smartphones, social media, and other technologies and communication platforms, this is no longer the case. This package replaces base R string functions (such as grep(), tolower(), sprintf(), and strptime()) with ones that fully support the Unicode standards related to natural language and date-time processing. It also fixes some long-standing inconsistencies, and introduces some new, useful features. Thanks to ICU (International Components for Unicode) and stringi', they are fast, reliable, and portable across different platforms.

r-simplyagree 0.3.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-quantreg@6.1 r-purrr@1.2.0 r-patchwork@1.3.2 r-nlme@3.1-168 r-matrix@1.7-4 r-mass@7.3-65 r-magrittr@2.0.4 r-lme4@1.1-37 r-lifecycle@1.0.4 r-jmvcore@2.7.7 r-insight@1.4.3 r-ggplot2@4.0.1 r-emmeans@2.0.0 r-dplyr@1.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://aaroncaldwell.us/SimplyAgree/
Licenses: GPL 3+
Build system: r
Synopsis: Flexible and Robust Agreement and Reliability Analyses
Description:

Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement.

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-scaper 0.2.0
Propagated dependencies: r-xml2@1.5.0 r-vam@1.1.0 r-stringr@1.6.0 r-seuratobject@5.2.0 r-seurat@5.3.1 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=scaper
Licenses: GPL 2+
Build system: r
Synopsis: Single Cell Transcriptomics-Level Cytokine Activity Prediction and Estimation
Description:

Generates cell-level cytokine activity estimates using relevant information from gene sets constructed with the CytoSig and the Reactome databases and scored using the modified Variance-adjusted Mahalanobis (VAM) framework for single-cell RNA-sequencing (scRNA-seq) data. CytoSig database is described in: Jiang at al., (2021) <doi:10.1038/s41592-021-01274-5>. Reactome database is described in: Gillespie et al., (2021) <doi:10.1093/nar/gkab1028>. The VAM method is outlined in: Frost (2020) <doi:10.1093/nar/gkaa582>.

r-sped 0.3
Propagated dependencies: r-pooh@0.3-2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sped
Licenses: GPL 2+
Build system: r
Synopsis: Multi-Gene Descent Probabilities
Description:

Do multi-gene descent probabilities (Thompson, 1983, <doi:10.1098/rspb.1983.0072>) and special cases thereof (Thompson, 1986, <doi:10.1002/zoo.1430050210>) including inbreeding and kinship coefficients. But does much more: probabilities of any set of genes descending from any other set of genes.

r-statnetweb 0.6.1
Propagated dependencies: r-sna@2.8 r-shiny@1.11.1 r-rcolorbrewer@1.1-3 r-network@1.19.0 r-latticeextra@0.6-31 r-lattice@0.22-7 r-ergm@4.12.0 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://statnet.org
Licenses: GPL 3
Build system: r
Synopsis: Shiny App for Network Modeling with 'statnet'
Description:

This package provides a graphical user interface for cross-sectional network modeling with the statnet software suite <https://github.com/statnet>.

r-seedmaker 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/hdhshowalter/SeedMaker
Licenses: Expat
Build system: r
Synopsis: Generate a Collection of Seeds from a Single Seed
Description:

This package provides a mechanism for easily generating and organizing a collection of seeds from a single seed, which may be subsequently used to ensure reproducibility in processes/pipelines that utilize multiple random components (e.g., trial simulation).

r-seasonalview 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-xtable@1.8-4 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-seasonal@1.10.0 r-openxlsx@4.2.8.1 r-htmlwidgets@1.6.4 r-dygraphs@1.1.1.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.seasonal.website
Licenses: GPL 3
Build system: r
Synopsis: Graphical User Interface for Seasonal Adjustment
Description:

This package provides a graphical user interface to the seasonal package and X-13ARIMA-SEATS', the U.S. Census Bureau's seasonal adjustment software.

r-senseweight 0.0.1
Propagated dependencies: r-weightit@1.5.1 r-survey@4.4-8 r-rlang@1.1.6 r-metr@0.18.3 r-kableextra@1.4.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-estimatr@1.0.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://melodyyhuang.github.io/senseweight/
Licenses: Expat
Build system: r
Synopsis: Sensitivity Analysis for Weighted Estimators
Description:

This package provides tools to conduct interpretable sensitivity analyses for weighted estimators, introduced in Huang (2024) <doi:10.1093/jrsssa/qnae012> and Hartman and Huang (2024) <doi:10.1017/pan.2023.12>. The package allows researchers to generate the set of recommended sensitivity summaries to evaluate the sensitivity in their underlying weighting estimators to omitted moderators or confounders. The tools can be flexibly applied in causal inference settings (i.e., in external and internal validity contexts) or survey contexts.

r-snowboot 1.0.2
Propagated dependencies: r-rdpack@2.6.4 r-rcpp@1.1.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=snowboot
Licenses: GPL 3
Build system: r
Synopsis: Bootstrap Methods for Network Inference
Description:

This package provides functions for analysis of network objects, which are imported or simulated by the package. The non-parametric methods of analysis center on snowball and bootstrap sampling for estimating functions of network degree distribution. For other parameters of interest, see, e.g., bootnet package.

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