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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-cytominer 0.2.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-futile-logger@1.4.3 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/cytomining/cytominer
Licenses: Modified BSD
Build system: r
Synopsis: Methods for Image-Based Cell Profiling
Description:

Typical morphological profiling datasets have millions of cells and hundreds of features per cell. When working with this data, you must clean the data, normalize the features to make them comparable across experiments, transform the features, select features based on their quality, and aggregate the single-cell data, if needed. cytominer makes these steps fast and easy. Methods used in practice in the field are discussed in Caicedo (2017) <doi:10.1038/nmeth.4397>. An overview of the field is presented in Caicedo (2016) <doi:10.1016/j.copbio.2016.04.003>.

r-cpc 2.6.2
Propagated dependencies: r-rfast@2.1.5.2 r-dbscan@1.2.3 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://imehlhaff.net/CPC/
Licenses: CC0
Build system: r
Synopsis: Implementation of Cluster-Polarization Coefficient
Description:

This package implements cluster-polarization coefficient for measuring distributional polarization in single or multiple dimensions, as well as associated functions. Contains support for hierarchical clustering, k-means, partitioning around medoids, density-based spatial clustering with noise, and manually imposed cluster membership. Mehlhaff (2024) <doi:10.1017/S0003055423001041>.

r-cowbell 0.1.0
Propagated dependencies: r-rgl@1.3.31 r-misc3d@0.9-1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cowbell
Licenses: GPL 3
Build system: r
Synopsis: Performs Segmented Linear Regression on Two Independent Variables
Description:

This package implements a specific form of segmented linear regression with two independent variables. The visualization of that function looks like a quarter segment of a cowbell giving the package its name. The package has been specifically constructed for the case where minimum and maximum value of the dependent and two independent variables are known a prior, which is usually the case when those values are derived from Likert scales.

r-cauchypca 1.3
Propagated dependencies: r-rfast2@0.1.5.5 r-rfast@2.1.5.2 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cauchypca
Licenses: GPL 2+
Build system: r
Synopsis: Robust Principal Component Analysis Using the Cauchy Distribution
Description:

This package provides a new robust principal component analysis algorithm is implemented that relies upon the Cauchy Distribution. The algorithm is suitable for high dimensional data even if the sample size is less than the number of variables. The methodology is described in this paper: Fayomi A., Pantazis Y., Tsagris M. and Wood A.T.A. (2024). "Cauchy robust principal component analysis with applications to high-dimensional data sets". Statistics and Computing, 34: 26. <doi:10.1007/s11222-023-10328-x>.

r-covidmutations 0.1.3
Propagated dependencies: r-venndiagram@1.7.3 r-stringr@1.6.0 r-seqinr@4.2-36 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/MSQ-123/CovidMutations
Licenses: Artistic License 2.0
Build system: r
Synopsis: Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease 2019)
Description:

This package provides a feasible framework for mutation analysis and reverse transcription polymerase chain reaction (RT-PCR) assay evaluation of COVID-19, including mutation profile visualization, statistics and mutation ratio of each assay. The mutation ratio is conducive to evaluating the coverage of RT-PCR assays in large-sized samples. Mercatelli, D. and Giorgi, F. M. (2020) <doi:10.20944/preprints202004.0529.v1>.

r-codewhere 0.1.1
Propagated dependencies: r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://thisisnic.github.io/codewhere/
Licenses: Expat
Build system: r
Synopsis: Find the Location of an R Package's Code
Description:

Find the location of the code for an R package based on the package's name or string representation. Checks on CRAN based on information in the URL field or BioConductor and GitHub based on constructing a URL, and verifies all paths via testing for a successful response. This can be useful when automating static code analysis based on a list of package names, and similar tasks.

r-cherry 0.6-15
Propagated dependencies: r-lpsolve@5.6.23 r-hommel@1.8 r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cherry
Licenses: GPL 2+
Build system: r
Synopsis: Multiple Testing Methods for Exploratory Research
Description:

This package provides an alternative approach to multiple testing by calculating a simultaneous upper confidence bounds for the number of true null hypotheses among any subset of the hypotheses of interest, using the methods of Goeman and Solari (2011) <doi:10.1214/11-STS356>.

r-campaignmanager 0.1.0
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://windsor.ai/
Licenses: GPL 3
Build system: r
Synopsis: Connect to Campaign Manager via the 'Windsor.ai' API
Description:

Collect marketing data from Campaign Manager using the Windsor.ai API <https://windsor.ai/api-fields/>.

r-cartograflow 1.0.5
Propagated dependencies: r-sf@1.0-23 r-rlang@1.1.6 r-reshape2@1.4.5 r-plotly@4.11.0 r-igraph@2.2.1 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://github.com/fbahoken/cartogRaflow
Licenses: GPL 3
Build system: r
Synopsis: Filtering Matrix for Flow Mapping
Description:

This package provides functions to prepare and filter an origin-destination matrix for thematic flow mapping purposes. This comes after Bahoken, Francoise (2016), Mapping flow matrix a contribution, PhD in Geography - Territorial sciences. See Bahoken (2017) <doi:10.4000/netcom.2565>.

r-cseqpat 0.1.2
Propagated dependencies: r-tm@0.7-16 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CSeqpat
Licenses: Expat
Build system: r
Synopsis: Frequent Contiguous Sequential Pattern Mining of Text
Description:

Mines contiguous sequential patterns in text.

r-corporaexplorer 0.9.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-scales@1.4.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-re2@0.1.4 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-padr@0.6.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://kgjerde.github.io/corporaexplorer/
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: 'Shiny' App for Exploration of Text Collections
Description:

Facilitates dynamic exploration of text collections through an intuitive graphical user interface and the power of regular expressions. The package contains 1) a helper function to convert a data frame to a corporaexplorerobject and 2) a Shiny app for fast and flexible exploration of a corporaexplorerobject'. The package also includes demo apps with which one can explore Jane Austen's novels and the State of the Union Addresses (data from the janeaustenr and sotu packages respectively).

r-compindpca 0.1.0
Propagated dependencies: r-factoextra@1.0.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=compindPCA
Licenses: GPL 3
Build system: r
Synopsis: Computation of Relative Weights of Variables and Composite Index Values Based on PCA
Description:

It helps in development of a principal component analysis based composite index by assigning weights to variables and combining the weighted variables. For method details see Sendhil, R., Jha, A., Kumar, A. and Singh, S. (2018). <doi:10.1016/j.ecolind.2018.02.053>, and Wu, T. (2021). <doi:10.1016/j.ecolind.2021.108006>.

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@1.4.5 r-omopgenerics@1.3.6 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-cchs 0.4.5
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cchs
Licenses: GPL 3
Build system: r
Synopsis: Cox Model for Case-Cohort Data with Stratified Subcohort-Selection
Description:

This package contains a function, also called cchs', that calculates Estimator III of Borgan et al (2000), <DOI:10.1023/A:1009661900674>. This estimator is for fitting a Cox proportional hazards model to data from a case-cohort study where the subcohort was selected by stratified simple random sampling.

r-cpp11armadillo 0.5.4
Propagated dependencies: r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pacha.dev/cpp11armadillo/
Licenses: FSDG-compatible
Build system: r
Synopsis: An 'Armadillo' Interface
Description:

This package provides function declarations and inline function definitions that facilitate communication between R and the Armadillo C++ library for linear algebra and scientific computing. This implementation is detailed in Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.

r-classgraph 0.7-7
Propagated dependencies: r-rgraphviz@2.54.0 r-graph@1.88.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=classGraph
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Construct Graphs of S4 Class Hierarchies
Description:

Construct directed graphs of S4 class hierarchies and visualize them. In general, these graphs typically are DAGs (directed acyclic graphs), often simple trees in practice.

r-childfree 0.0.4
Propagated dependencies: r-rio@1.2.4 r-rcurl@1.98-1.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.zacharyneal.com/childfree-home
Licenses: GPL 3
Build system: r
Synopsis: Access and Harmonize Childfree Demographic Data
Description:

Reads demographic data from a variety of public data sources, extracting and harmonizing variables useful for the study of childfree individuals. The identification of childfree individuals and those with other family statuses uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available at <doi:10.31234/osf.io/fa89m>.

r-controlfunctioniv 0.1.1
Propagated dependencies: r-orthodr@0.6.8 r-formula@1.2-5 r-dr@3.0.11 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/zijguo/controlfunctionIV
Licenses: GPL 3
Build system: r
Synopsis: Control Function Methods with Possibly Invalid Instrumental Variables
Description:

Inference with control function methods for nonlinear outcome models when the model is known ('Guo and Small (2016) <arXiv:1602.01051>) and when unknown but semiparametric ('Li and Guo (2021) <arXiv:2010.09922>).

r-cder 0.3-1
Propagated dependencies: r-stringr@1.6.0 r-readr@2.1.6 r-lubridate@1.9.4 r-glue@1.8.0 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mkoohafkan/cder
Licenses: GPL 3+
Build system: r
Synopsis: Interface to the California Data Exchange Center (CDEC)
Description:

Connect to the California Data Exchange Center (CDEC) Web Service <http://cdec.water.ca.gov/>. CDEC provides a centralized database to store, process, and exchange real-time hydrologic information gathered by various cooperators throughout California. The CDEC Web Service <http://cdec.water.ca.gov/dynamicapp/wsSensorData> provides a data download service for accessing historical records.

r-cbinom 1.6
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=cbinom
Licenses: GPL 2+
Build system: r
Synopsis: Continuous Analog of a Binomial Distribution
Description:

Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete binomial with continuous size parameter and continuous support with x in [0, size + 1], following Ilienko (2013) <arXiv:1303.5990>.

r-cohortsymmetry 0.2.4
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-patientprofiles@1.4.5 r-omopgenerics@1.3.6 r-here@1.0.2 r-drugutilisation@1.1.0 r-dplyr@1.1.4 r-codelistgenerator@4.0.2 r-cdmconnector@2.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ohdsi.github.io/CohortSymmetry/
Licenses: FSDG-compatible
Build system: r
Synopsis: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model
Description:

Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.

r-crimedata 0.3.5
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-rlang@1.1.6 r-purrr@1.2.0 r-osfr@0.2.9 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: http://pkgs.lesscrime.info/crimedata/
Licenses: Expat
Build system: r
Synopsis: Access Crime Data from the Open Crime Database
Description:

Gives convenient access to publicly available police-recorded open crime data from large cities in the United States that are included in the Crime Open Database <https://osf.io/zyaqn/>.

r-clustofvar 1.2
Propagated dependencies: r-pcamixdata@3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClustOfVar
Licenses: GPL 2+
Build system: r
Synopsis: Clustering of Variables
Description:

Cluster analysis of a set of variables. Variables can be quantitative, qualitative or a mixture of both.

r-cleaner 1.5.5
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-pillar@1.11.1 r-knitr@1.50 r-crayon@1.5.3 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://msberends.github.io/cleaner/
Licenses: GPL 2
Build system: r
Synopsis: Fast and Easy Data Cleaning
Description:

Data cleaning functions for classes logical, factor, numeric, character, currency and Date to make data cleaning fast and easy. Relying on very few dependencies, it provides smart guessing, but with user options to override anything if needed.

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Total results: 68658