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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-cookies 0.2.3
Propagated dependencies: r-vctrs@0.6.5 r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httpuv@1.6.16 r-htmltools@0.5.8.1 r-glue@1.8.0 r-clock@0.7.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/r4ds/cookies
Licenses: Expat
Build system: r
Synopsis: Use Browser Cookies with 'shiny'
Description:

Browser cookies are name-value pairs that are saved in a user's browser by a website. Cookies allow websites to persist information about the user and their use of the website. Here we provide tools for working with cookies in shiny apps, in part by wrapping the js-cookie JavaScript library <https://github.com/js-cookie/js-cookie>.

r-coglasso 1.1.0
Propagated dependencies: r-withr@3.0.2 r-rlang@1.1.6 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-matrix@1.7-4 r-lifecycle@1.0.4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/DrQuestion/coglasso
Licenses: GPL 2+
Build system: r
Synopsis: Collaborative Graphical Lasso - Multi-Omics Network Reconstruction
Description:

Reconstruct networks from multi-omics data sets with the collaborative graphical lasso (coglasso) algorithm described in Albanese, A., Kohlen, W., and Behrouzi, P. (2024) <doi:10.48550/arXiv.2403.18602>. Use the main wrapper function `bs()` to build and select a multi-omics network.

r-curstatci 0.1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/kimhendrickx/curstatCI
Licenses: GPL 3
Build system: r
Synopsis: Confidence Intervals for the Current Status Model
Description:

Computes the maximum likelihood estimator, the smoothed maximum likelihood estimator and pointwise bootstrap confidence intervals for the distribution function under current status data. Groeneboom and Hendrickx (2017) <doi:10.1214/17-EJS1345>.

r-clsiep15 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CLSIEP15
Licenses: Expat
Build system: r
Synopsis: Clinical and Laboratory Standards Institute (CLSI) EP15-A3 Calculations
Description:

Calculations of "EP15-A3 document. A manual for user verification of precision and estimation of bias" CLSI (2014, ISBN:1-56238-966-1).

r-cheapr 1.5.0
Propagated dependencies: r-cpp11@0.5.2 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cheapr
Licenses: Expat
Build system: r
Synopsis: Simple Functions to Save Time and Memory
Description:

Fast and memory-efficient (or cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide cheaper alternatives to common base R functions, as well as some additional functions.

r-cyclomort 1.0.3
Propagated dependencies: r-survival@3.8-3 r-scales@1.4.0 r-plyr@1.8.9 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-flexsurv@2.3.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/EliGurarie/cyclomort
Licenses: GPL 3+
Build system: r
Synopsis: Survival Modeling with a Periodic Hazard Function
Description:

Modeling periodic mortality (or other time-to event) processes from right-censored data. Given observations of a process with a known period (e.g. 365 days, 24 hours), functions determine the number, intensity, timing, and duration of peaks of periods of elevated hazard within a period. The underlying model is a mixed wrapped Cauchy function fitted using maximum likelihoods (details in Gurarie et al. (2020) <doi:10.1111/2041-210X.13305>). The development of these tools was motivated by the strongly seasonal mortality patterns observed in many wild animal populations. Thus, the respective periods of higher mortality can be identified as "mortality seasons".

r-certara-rdarwin 1.2.0
Propagated dependencies: r-ssh@0.9.4 r-magrittr@2.0.4 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://certara.github.io/R-Darwin/
Licenses: LGPL 3
Build system: r
Synopsis: Interface for 'pyDarwin' Machine Learning Pharmacometric Model Development
Description:

Utilities that support the usage of pyDarwin (<https://certara.github.io/pyDarwin/>) for ease of setup and execution of a machine learning based pharmacometric model search with Certara's Non-Linear Mixed Effects (NLME) modeling engine.

r-cprobit 1.0.2
Propagated dependencies: r-nortest@1.0-4 r-gridextra@2.3 r-ggplot2@4.0.1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cprobit
Licenses: LGPL 3
Build system: r
Synopsis: Conditional Probit Model for Analysing Continuous Outcomes
Description:

This package implements the three-step workflow for robust analysis of change in two repeated measurements of continuous outcomes, described in Ning et al. (in press), "Robust estimation of the effect of an exposure on the change in a continuous outcome", BMC Medical Research Methodology.

r-cvmdisc 0.1.0
Propagated dependencies: r-compquadform@1.4.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cvmdisc
Licenses: Expat
Build system: r
Synopsis: Cramer von Mises Tests for Discrete or Grouped Distributions
Description:

This package implements Cramer-von Mises Statistics for testing fit to (1) fully specified discrete distributions as described in Choulakian, Lockhart and Stephens (1994) <doi:10.2307/3315828> (2) discrete distributions with unknown parameters that must be estimated from the sample data, see Spinelli & Stephens (1997) <doi:10.2307/3315735> and Lockhart, Spinelli and Stephens (2007) <doi:10.1002/cjs.5550350111> (3) grouped continuous distributions with Unknown Parameters, see Spinelli (2001) <doi:10.2307/3316040>. Maximum likelihood estimation (MLE) is used to estimate the parameters. The package computes the Cramer-von Mises Statistics, Anderson-Darling Statistics and the Watson-Stephens Statistics and their p-values.

r-cancensus 0.5.10
Propagated dependencies: r-sf@1.0-23 r-rlang@1.1.6 r-readr@2.1.6 r-jsonlite@2.0.0 r-httr@1.4.7 r-geojsonsf@2.0.5 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mountainMath/cancensus
Licenses: Expat
Build system: r
Synopsis: Access, Retrieve, and Work with Canadian Census Data and Geography
Description:

Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the CensusMapper API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016; 2021).

r-compas 0.1.1
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-bio3d@2.4-5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=compas
Licenses: GPL 3
Build system: r
Synopsis: Conformational Manipulations of Protein Atomic Structures
Description:

Manipulate and analyze 3-D structural geometry of Protein Data Bank (PDB) files.

r-canvasxpress 1.59.5
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/neuhausi/canvasXpress
Licenses: GPL 3
Build system: r
Synopsis: Visualization Package for CanvasXpress in R
Description:

Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.

r-coefa 1.0.3
Propagated dependencies: r-purrr@1.2.0 r-psych@2.5.6 r-openxlsx@4.2.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=coefa
Licenses: GPL 3+
Build system: r
Synopsis: Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices
Description:

Provide a series of functions to conduct a meta analysis of factor analysis based on co-occurrence matrices. The tool can be used to solve the factor structure (i.e. inner structure of a construct, or scale) debate in several disciplines, such as psychology, psychiatry, management, education so on. References: Shafer (2005) <doi:10.1037/1040-3590.17.3.324>; Shafer (2006) <doi:10.1002/jclp.20213>; Loeber and Schmaling (1985) <doi:10.1007/BF00910652>.

r-codelistgenerator 4.0.2
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-stringr@1.6.0 r-stringi@1.8.7 r-rlang@1.1.6 r-purrr@1.2.0 r-patientprofiles@1.5.0 r-omopgenerics@1.3.7 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-glue@1.8.0 r-dplyr@1.1.4 r-dbi@1.2.3 r-clock@0.7.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://darwin-eu.github.io/CodelistGenerator/
Licenses: FSDG-compatible
Build system: r
Synopsis: Identify Relevant Clinical Codes and Evaluate Their Use
Description:

Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.

r-cb2 1.3.8
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-readr@2.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r-utils@2.13.0 r-pheatmap@1.0.13 r-metap@1.12 r-magrittr@2.0.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CB2
Licenses: Expat
Build system: r
Synopsis: CRISPR Pooled Screen Analysis using Beta-Binomial Test
Description:

This package provides functions for hit gene identification and quantification of sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis. Details are in Jeong et al. (2019) <doi:10.1101/gr.245571.118> and Baggerly et al. (2003) <doi:10.1093/bioinformatics/btg173>.

r-ccmestimator 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/xiw021/ccmEstimator
Licenses: GPL 3
Build system: r
Synopsis: Comparative Causal Mediation Estimation
Description:

This package provides functions to perform comparative causal mediation analysis to compare the mediation effects of different treatments via a common mediator. Results contain the estimates and confidence intervals for the two comparative causal mediation analysis estimands, as well as the ATE and ACME for each treatment. Functions provided in the package will automatically assess the comparative causal mediation analysis scope conditions (i.e. for each comparative causal mediation estimand, a numerator and denominator that are both estimated with the desired statistical significance and of the same sign). Results will be returned for each comparative causal mediation estimand only if scope conditions are met for it. See details in Bansak(2020)<doi:10.1017/pan.2019.31>.

r-cofad 0.3.3
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-shinyjs@2.1.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-rlang@1.1.6 r-rhandsontable@0.3.8 r-readr@2.1.6 r-magrittr@2.0.4 r-hmisc@5.2-4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/johannes-titz/cofad
Licenses: LGPL 3+
Build system: r
Synopsis: Contrast Analyses for Factorial Designs
Description:

Contrast analysis for factorial designs provides an alternative to the traditional ANOVA approach, offering the distinct advantage of testing targeted hypotheses. The foundation of this package is primarily rooted in the works of Rosenthal, Rosnow, and Rubin (2000, ISBN: 978-0521659802) as well as Sedlmeier and Renkewitz (2018, ISBN: 978-3868943214).

r-ctv 0.9-7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/cran-task-views/ctv/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: CRAN Task Views
Description:

Infrastructure for task views to CRAN-style repositories: Querying task views and installing the associated packages (client-side tools), generating HTML pages and storing task view information in the repository (server-side tools).

r-compexpdes 1.0.9
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CompExpDes
Licenses: GPL 2+
Build system: r
Synopsis: Designs for Computer Experimentations
Description:

In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they always attain the lower bound of Discrete Discrepancy measure. Further, some useful functions added in this package for adding more value to this package.

r-cld3 1.6.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cld3
Licenses: ASL 2.0
Build system: r
Synopsis: Google's Compact Language Detector 3
Description:

Google's Compact Language Detector 3 is a neural network model for language identification and the successor of cld2 (available from CRAN). The algorithm is still experimental and takes a novel approach to language detection with different properties and outcomes. It can be useful to combine this with the Bayesian classifier results from cld2'. See <https://github.com/google/cld3#readme> for more information.

r-cfmortality 0.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cfmortality
Licenses: GPL 3
Build system: r
Synopsis: Cystic Fibrosis Survival Prediction Model Based on Stanojevic Model
Description:

Allows clinicians to predict survival probabilities over the next two years for cystic fibrosis patients, based on the clinical prediction models published in Stanojevic et al. (2019) <doi:10.1183/13993003.00224-2019>.

r-coni 0.1.0
Dependencies: python@3.11.14
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-ppcor@1.1 r-plyr@1.8.9 r-igraph@2.2.1 r-hmisc@5.2-4 r-gridextra@2.3 r-gplots@3.2.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-genefilter@1.92.0 r-foreach@1.5.2 r-forcats@1.0.1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-cocor@1.1-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoNI
Licenses: GPL 3
Build system: r
Synopsis: Correlation Guided Network Integration (CoNI)
Description:

Integrates two numerical omics data sets from the same samples using partial correlations. The output can be represented as a network, bipartite graph or a hypergraph structure. The method used in the package refers to Klaus et al (2021) <doi:10.1016/j.molmet.2021.101295>.

r-csvy 0.3.0
Propagated dependencies: r-yaml@2.3.10 r-jsonlite@2.0.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/leeper/csvy
Licenses: GPL 2
Build system: r
Synopsis: Import and Export CSV Data with a YAML Metadata Header
Description:

Support for import from and export to the CSVY file format. CSVY is a file format that combines the simplicity of CSV (comma-separated values) with the metadata of other plain text and binary formats (JSON, XML, Stata, etc.) by placing a YAML header on top of a regular CSV.

r-cytobankapi 2.2.1
Propagated dependencies: r-uuid@1.2-1 r-jsonlite@2.0.0 r-jose@1.2.1 r-httr@1.4.7 r-curl@7.0.0 r-aws-s3@0.3.22
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CytobankAPI
Licenses: GPL 3
Build system: r
Synopsis: Cytobank API Wrapper for R
Description:

This package provides tools to interface with Cytobank's API via R, organized by endpoints that represent various areas of Cytobank functionality. Learn more about Cytobank at <https://www.beckman.com/flow-cytometry/software>.

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