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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-cmshiny 0.1.0
Propagated dependencies: r-shinymatrix@0.8.0 r-shiny@1.11.1 r-rmarkdown@2.30 r-matrix@1.7-4 r-epitools@0.5-10.1 r-e1071@1.7-16 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CMShiny
Licenses: GPL 2
Build system: r
Synopsis: Interactive Document for Working with Confusion Matrix
Description:

An interactive document on the topic of confusion matrix analysis using rmarkdown and shiny packages. Runtime examples are provided in the package function as well as at <https://predanalyticssessions1.shinyapps.io/ConfusionMatrixShiny/>.

r-crosslag 0.1.0
Propagated dependencies: r-rms@8.1-0 r-mgcv@1.9-4 r-lavaan@0.6-20 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-gamm4@0.2-7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crosslag
Licenses: Expat
Build system: r
Synopsis: Perform Linear or Nonlinear Cross Lag Analysis
Description:

Linear or nonlinear cross-lagged panel model can be built from input data. Users can choose the appropriate method from three methods for constructing nonlinear cross lagged models. These three methods include polynomial regression, generalized additive model and generalized linear mixed model.In addition, a function for determining linear relationships is provided. Relevant knowledge of cross lagged models can be learned through the paper by Fredrik Falkenström (2024) <doi:10.1016/j.cpr.2024.102435> and the paper by A Gasparrini (2010) <doi:10.1002/sim.3940>.

r-cordillera 1.0-3
Propagated dependencies: r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://r-forge.r-project.org/projects/stops/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Calculation of the OPTICS Cordillera
Description:

This package provides functions for calculating the OPTICS Cordillera. The OPTICS Cordillera measures the amount of clusteredness in a numeric data matrix within a distance-density based framework for a given minimum number of points comprising a cluster, as described in Rusch, Hornik, Mair (2018) <doi:10.1080/10618600.2017.1349664>. We provide an R native version with methods for printing, summarizing, and plotting the result.

r-cinterpolate 1.0.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mrc-ide/cinterpolate
Licenses: Expat
Build system: r
Synopsis: Interpolation From C
Description:

Simple interpolation methods designed to be used from C code. Supports constant, linear and spline interpolation. An R wrapper is included but this package is primarily designed to be used from C code using LinkingTo'. The spline calculations are classical cubic interpolation, e.g., Forsythe, Malcolm and Moler (1977) <ISBN: 9780131653320>.

r-castgen 1.0.2
Propagated dependencies: r-vcfr@1.15.0 r-rdpack@2.6.4 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/alex-sandercock/castgen
Licenses: FSDG-compatible
Build system: r
Synopsis: Estimate Sample Size for Population Genomic Studies
Description:

Estimate sample sizes needed to capture target levels of genetic diversity from a population (multivariate allele frequencies) for applications like germplasm conservation and breeding efforts. Compares bootstrap samples to a full population using linear regression, employing the R-squared value to represent the proportion of diversity captured. Iteratively increases sample size until a user-defined target R-squared is met. Offers a parallelized R implementation of a previously developed python method. All ploidy levels are supported. For more details, see Sandercock et al. (2024) <doi:10.1073/pnas.2403505121>.

r-coldrift 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=coldrift
Licenses: Expat
Build system: r
Synopsis: Lightweight Column Drift Detection for Tabular Data
Description:

This package provides simple and efficient methods to detect column-level data drift between reference and target datasets. Designed for monitoring tabular data pipelines and machine learning inputs using statistical distance measures.

r-countgmifs 0.0.2
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=countgmifs
Licenses: GPL 2+
Build system: r
Synopsis: Discrete Response Regression for High-Dimensional Data
Description:

This package provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

r-ceda 1.1.1
Propagated dependencies: r-mixtools@2.0.0.1 r-limma@3.66.0 r-ggsci@4.1.0 r-ggridges@0.5.7 r-ggprism@1.0.7 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=CEDA
Licenses: ASL 2.0
Build system: r
Synopsis: CRISPR Screen and Gene Expression Differential Analysis
Description:

This package provides analytical methods for analyzing CRISPR screen data at different levels of gene expression. Multi-component normal mixture models and EM algorithms are used for modeling.

r-cmprskcoxmsm 0.2.1
Propagated dependencies: r-twang@2.6.2 r-survival@3.8-3 r-sandwich@3.1-1 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=cmprskcoxmsm
Licenses: GPL 2+
Build system: r
Synopsis: Use IPW to Estimate Treatment Effect under Competing Risks
Description:

Uses inverse probability weighting methods to estimate treatment effect under marginal structure model for the cause-specific hazard of competing risk events. Estimates also the cumulative incidence function (i.e. risk) of the potential outcomes, and provides inference on risk difference and risk ratio. Reference: Kalbfleisch & Prentice (2002)<doi:10.1002/9781118032985>; Hernan et al (2001)<doi:10.1198/016214501753168154>.

r-camelup 2.0.3
Propagated dependencies: r-shiny@1.11.1 r-rcpp@1.1.0 r-magrittr@2.0.4 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://cran.r-project.org/package=CamelUp
Licenses: GPL 3
Build system: r
Synopsis: 'CamelUp' Board Game as a Teaching Aid for Introductory Statistics
Description:

This package implements the board game CamelUp for use in introductory statistics classes using a Shiny app.

r-crayons 0.0.4
Propagated dependencies: r-palette@0.0.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/christopherkenny/crayons
Licenses: Expat
Build system: r
Synopsis: Color Palettes from Crayon Boxes
Description:

This package provides color palettes based on crayon colors since the early 1900s. Colors are based on various crayon colors, sets, and promotional palettes, most of which can be found at <https://en.wikipedia.org/wiki/List_of_Crayola_crayon_colors>. All palettes are discrete palettes and are not necessarily color-blind friendly. Provides scales for ggplot2 for discrete coloring.

r-correctref 0.0.2
Propagated dependencies: r-stringr@1.6.0 r-officer@0.7.1 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=correctref
Licenses: Expat
Build system: r
Synopsis: Correct and Standardize References for Scientific Manuscripts
Description:

Reads Word documents containing incomplete bibliographic references and produces an updated file with standardized and complete references. The package provides functions to retrieve missing authors, titles, journal details, volume, issue, and page numbers. Digital object identifiers (DOIs) are retrieved using the CrossRef application programming interface (API) <https://api.crossref.org>, and references are formatted following DOI-based citation standards as described by Paskin (2010) <doi:10.1000/182> and the citation.doi.org service <https://citation.doi.org>. The package is intended to simplify reference preparation for scientific journal submissions.

r-cumprinc 0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cumprinc
Licenses: GPL 2+
Build system: r
Synopsis: Functions Centered Around Microsoft Excel Cumprinc Function
Description:

This package provides similar functionality to Microsoft Excel CUMPRINC function <https://support.microsoft.com/en-us/office/cumprinc-function-94a4516d-bd65-41a1-bc16-053a6af4c04d>. Returns principal remaining at a given month, principal paid in a month, and accumulated principal paid at a given month based on original loan amount, monthly interest rate, and term of loan.

r-catencoders 0.1.1
Propagated dependencies: r-matrix@1.7-4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CatEncoders
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Encoders for Categorical Variables
Description:

This package contains some commonly used categorical variable encoders, such as LabelEncoder and OneHotEncoder'. Inspired by the encoders implemented in Python sklearn.preprocessing package (see <http://scikit-learn.org/stable/modules/preprocessing.html>).

r-cci 0.3.6
Propagated dependencies: r-xgboost@1.7.11.1 r-rlang@1.1.6 r-ranger@0.17.0 r-progress@1.2.3 r-kknn@1.4.1 r-ggplot2@4.0.1 r-e1071@1.7-16 r-dplyr@1.1.4 r-data-table@1.17.8 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/khliland/CCI
Licenses: GPL 2+
Build system: r
Synopsis: Computational Test for Conditional Independence
Description:

Tool for performing computational testing for conditional independence between variables in a dataset. CCI implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.

r-connectcreds 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-httr2@1.2.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/posit-dev/connectcreds
Licenses: Expat
Build system: r
Synopsis: Manage 'OAuth' Credentials from 'Posit Connect'
Description:

This package provides a toolkit for making use of credentials mediated by Posit Connect'. It handles the details of communicating with the Connect API correctly, OAuth token caching, and refresh behaviour.

r-cica 1.1.1
Propagated dependencies: r-servr@0.32 r-rnifti@1.8.0 r-rfast@2.1.5.2 r-plotly@4.11.0 r-oro-nifti@0.11.4 r-neurobase@1.34.0 r-multiway@1.0-7 r-mclust@6.1.2 r-magrittr@2.0.4 r-ica@1.0-3 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.sciencedirect.com/science/article/pii/S0165027022002448
Licenses: GPL 3
Build system: r
Synopsis: Clusterwise Independent Component Analysis
Description:

Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.

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-cobalt 4.6.2
Propagated dependencies: r-rlang@1.1.6 r-gtable@0.3.6 r-gridextra@2.3 r-ggplot2@4.0.1 r-cli@3.6.5 r-chk@0.10.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ngreifer.github.io/cobalt/
Licenses: GPL 2+
Build system: r
Synopsis: Covariate Balance Tables and Plots
Description:

Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with MatchIt', WeightIt', MatchThem', twang', Matching', optmatch', CBPS', ebal', cem', sbw', and designmatch for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with multi-category, continuous, or longitudinal treatments.

r-cinar 0.2.6
Propagated dependencies: r-writexl@1.5.4 r-sva@3.58.0 r-rcolorbrewer@1.1-3 r-preprocesscore@1.72.0 r-pheatmap@1.0.13 r-limma@3.66.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-genomicranges@1.62.0 r-fgsea@1.36.0 r-edger@4.8.0 r-dplyr@1.1.4 r-deseq2@1.50.2 r-biocmanager@1.30.27
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/eonurk/cinaR/
Licenses: GPL 3
Build system: r
Synopsis: Computational Pipeline for Bulk 'ATAC-Seq' Profiles
Description:

Differential analyses and Enrichment pipeline for bulk ATAC-seq data analyses. This package combines different packages to have an ultimate package for both data analyses and visualization of ATAC-seq data. Methods are described in Karakaslar et al. (2021) <doi:10.1101/2021.03.05.434143>.

r-claddis 0.7.0
Propagated dependencies: r-strap@1.6-1 r-phytools@2.5-2 r-partitions@1.10-9 r-multicool@1.0.1 r-geoscale@2.0.1 r-clipr@0.8.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Claddis
Licenses: GPL 2+
Build system: r
Synopsis: Measuring Morphological Diversity and Evolutionary Tempo
Description:

Measures morphological diversity from discrete character data and estimates evolutionary tempo on phylogenetic trees. Imports morphological data from #NEXUS (Maddison et al. (1997) <doi:10.1093/sysbio/46.4.590>) format with read_nexus_matrix(), and writes to both #NEXUS and TNT format (Goloboff et al. (2008) <doi:10.1111/j.1096-0031.2008.00217.x>). Main functions are test_rates(), which implements AIC and likelihood ratio tests for discrete character rates introduced across Lloyd et al. (2012) <doi:10.1111/j.1558-5646.2011.01460.x>, Brusatte et al. (2014) <doi:10.1016/j.cub.2014.08.034>, Close et al. (2015) <doi:10.1016/j.cub.2015.06.047>, and Lloyd (2016) <doi:10.1111/bij.12746>, and calculate_morphological_distances(), which implements multiple discrete character distance metrics from Gower (1971) <doi:10.2307/2528823>, Wills (1998) <doi:10.1006/bijl.1998.0255>, Lloyd (2016) <doi:10.1111/bij.12746>, and Hopkins and St John (2018) <doi:10.1098/rspb.2018.1784>. This also includes the GED correction from Lehmann et al. (2019) <doi:10.1111/pala.12430>. Multiple functions implement morphospace plots: plot_chronophylomorphospace() implements Sakamoto and Ruta (2012) <doi:10.1371/journal.pone.0039752>, plot_morphospace() implements Wills et al. (1994) <doi:10.1017/S009483730001263X>, plot_changes_on_tree() implements Wang and Lloyd (2016) <doi:10.1098/rspb.2016.0214>, and plot_morphospace_stack() implements Foote (1993) <doi:10.1017/S0094837300015864>. Other functions include safe_taxonomic_reduction(), which implements Wilkinson (1995) <doi:10.1093/sysbio/44.4.501>, map_dollo_changes() implements the Dollo stochastic character mapping of Tarver et al. (2018) <doi:10.1093/gbe/evy096>, and estimate_ancestral_states() implements the ancestral state options of Lloyd (2018) <doi:10.1111/pala.12380>. calculate_tree_length() and reconstruct_ancestral_states() implements the generalised algorithms from Swofford and Maddison (1992; no doi).

r-compgr 0.1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CompGR
Licenses: GPL 2+
Build system: r
Synopsis: Complete Annual Growth Rate Generator
Description:

It is designed to streamline the process of calculating complete annual growth rates with user-friendly functions and robust algorithms. It enables researchers and analysts to effortlessly generate precise growth rate estimates for their data. For method details see, Sharma, M.K.(2013) <https://www.indianjournals.com/ijor.aspx?target=ijor:jfl&volume=26&issue=1and2&article=018>. It offers a comprehensive suite of functions and customisable parameters. Equipped to handle varying complexities in data structures. It empowers users to uncover insightful growth dynamics and make informed decisions.

r-circer 1.3.3
Dependencies: openjdk@25
Propagated dependencies: r-rjsonio@2.0.0 r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ohdsi.github.io/CirceR/
Licenses: ASL 2.0
Build system: r
Synopsis: Construct Cohort Inclusion and Restriction Criteria Expressions
Description:

Wraps the CIRCE (<https://github.com/ohdsi/circe-be>) Java library allowing cohort definition expressions to be edited and converted to Markdown or SQL'.

r-cinargenesets 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/eonurk/cinaR-genesets
Licenses: GPL 3
Build system: r
Synopsis: Ready-to-Use Curated Gene Sets for 'cinaR'
Description:

Immune related gene sets provided along with the cinaR package.

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