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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-emirt 0.0.15
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pscl@1.5.9
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=emIRT
Licenses: GPL 3+
Build system: r
Synopsis: EM Algorithms for Estimating Item Response Theory Models
Description:

Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The package includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are fitted using variational EM. The package also includes variational network and text scaling models. The algorithms are described in Imai, Lo, and Olmsted (2016) <DOI:10.1017/S000305541600037X>.

r-evian 2.1.0
Propagated dependencies: r-sandwich@3.1-1 r-profilelikelihood@1.3 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=evian
Licenses: GPL 2+
Build system: r
Synopsis: Evidential Analysis of Genetic Association Data
Description:

Evidential regression analysis for dichotomous and quantitative outcome data. The following references described the methods in this package: Strug, L. J., Hodge, S. E., Chiang, T., Pal, D. K., Corey, P. N., & Rohde, C. (2010) <doi:10.1038/ejhg.2010.47>. Strug, L. J., & Hodge, S. E. (2006) <doi:10.1159/000094709>. Royall, R. (1997) <ISBN:0-412-04411-0>.

r-epanetreader 1.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/bradleyjeck/epanetReader
Licenses: Expat
Build system: r
Synopsis: Read Epanet Files into R
Description:

Reads water network simulation data in Epanet text-based .inp and .rpt formats into R. Also reads results from Epanet-msx'. Provides basic summary information and plots. The README file has a quick introduction. See <https://www.epa.gov/water-research/epanet> for more information on the Epanet software for modeling hydraulic and water quality behavior of water piping systems.

r-emon 1.3.2
Propagated dependencies: r-mgcv@1.9-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=emon
Licenses: GPL 3
Build system: r
Synopsis: Tools for Environmental and Ecological Survey Design
Description:

Statistical tools for environmental and ecological surveys. Simulation-based power and precision analysis; detection probabilities from different survey designs; visual fast count estimation.

r-emg 1.0.9
Propagated dependencies: r-moments@0.14.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=emg
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Exponentially Modified Gaussian (EMG) Distribution
Description:

This package provides basic distribution functions for a mixture model of a Gaussian and exponential distribution.

r-ebprs 2.1.0
Propagated dependencies: r-rocr@1.0-11 r-data-table@1.17.8 r-bedmatrix@2.0.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EBPRS
Licenses: GPL 3
Build system: r
Synopsis: Derive Polygenic Risk Score Based on Emprical Bayes Theory
Description:

EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2. See Song et al. (2020) <doi:10.1371/journal.pcbi.1007565> for a detailed presentation of the method.

r-epidigir 0.1.2
Propagated dependencies: r-tm@0.7-16 r-survival@3.8-3 r-sp@2.2-0 r-glmnet@4.1-10 r-desolve@1.40 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EpidigiR
Licenses: Expat
Build system: r
Synopsis: Digital Epidemiological Analysis and Visualization Tools
Description:

Integrates methods for epidemiological analysis, modeling, and visualization, including functions for summary statistics, SIR (Susceptible-Infectious-Recovered) modeling, DALY (Disability-Adjusted Life Years) estimation, age standardization, diagnostic test evaluation, NLP (Natural Language Processing) keyword extraction, clinical trial power analysis, survival analysis, SNP (Single Nucleotide Polymorphism) association, and machine learning methods such as logistic regression, k-means clustering, Random Forest, and Support Vector Machine (SVM). Includes datasets for prevalence estimation, SIR modeling, genomic analysis, clinical trials, DALY, diagnostic tests, and survival analysis. Methods are based on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham et al. (2019, ISBN:9781492052040>.

r-ecume 0.9.2
Propagated dependencies: r-transport@0.15-4 r-spatstat-univar@3.1-5 r-pbapply@1.7-4 r-magrittr@2.0.4 r-kernlab@0.9-33 r-e1071@1.7-16 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=Ecume
Licenses: Expat
Build system: r
Synopsis: Equality of 2 (or k) Continuous Univariate and Multivariate Distributions
Description:

We implement (or re-implements in R) a variety of statistical tools. They are focused on non-parametric two-sample (or k-sample) distribution comparisons in the univariate or multivariate case. See the vignette for more info.

r-envvar 0.1.2
Propagated dependencies: r-rlang@1.1.6 r-lubridate@1.9.4 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/briandconnelly/envvar
Licenses: Expat
Build system: r
Synopsis: Make Working with Environment Variables Easier and More Consistent
Description:

This package provides a collection of functions that allows for easy and consistent use of environment variables. This includes setting, checking, retrieving, transforming, and validating values stored in environment variables.

r-etl 0.4.2
Propagated dependencies: r-xml2@1.5.0 r-usethis@3.2.1 r-tibble@3.3.0 r-rvest@1.0.5 r-rlang@1.1.6 r-readr@2.1.6 r-lubridate@1.9.4 r-janitor@2.2.1 r-fs@1.6.6 r-dplyr@1.1.4 r-downloader@0.4.1 r-dbplyr@2.5.1 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/beanumber/etl
Licenses: CC0
Build system: r
Synopsis: Extract-Transform-Load Framework for Medium Data
Description:

This package provides a predictable and pipeable framework for performing ETL (extract-transform-load) operations on publicly-accessible medium-sized data set. This package sets up the method structure and implements generic functions. Packages that depend on this package download specific data sets from the Internet, clean them up, and import them into a local or remote relational database management system.

r-ess 1.1.2.1
Propagated dependencies: r-rcpp@1.1.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/mlindsk/ess
Licenses: GPL 3
Build system: r
Synopsis: Efficient Stepwise Selection in Decomposable Models
Description:

An implementation of the ESS algorithm following Amol Deshpande, Minos Garofalakis, Michael I Jordan (2013) <doi:10.48550/arXiv.1301.2267>. The ESS algorithm is used for model selection in decomposable graphical models.

r-easyclimate 0.2.2
Propagated dependencies: r-terra@1.8-86 r-rcurl@1.98-1.17 r-r-utils@2.13.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/VeruGHub/easyclimate
Licenses: GPL 3+
Build system: r
Synopsis: Easy Access to High-Resolution Daily Climate Data for Europe
Description:

Get high-resolution (1 km) daily climate data (precipitation, minimum and maximum temperatures) for points and polygons within Europe.

r-ebvcube 0.5.2
Propagated dependencies: r-withr@3.0.2 r-tidyterra@1.0.0 r-terra@1.8-86 r-stringr@1.6.0 r-rhdf5@2.54.0 r-reshape2@1.4.5 r-ncmeta@0.4.0 r-ncdf4@1.24 r-memuse@4.2-3 r-jsonlite@2.0.0 r-httr@1.4.7 r-hdf5array@1.38.0 r-ggplot2@4.0.1 r-delayedarray@0.36.0 r-curl@7.0.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/EBVCube/ebvcube
Licenses: GPL 3+
Build system: r
Synopsis: Working with netCDF for Essential Biodiversity Variables
Description:

The concept of Essential Biodiversity Variables (EBV, <https://geobon.org/ebvs/what-are-ebvs/>) comes with a data structure based on the Network Common Data Form (netCDF). The ebvcube R package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.

r-effectplots 0.2.2
Propagated dependencies: r-scales@1.4.0 r-rcpp@1.1.0 r-plotly@4.11.0 r-patchwork@1.3.2 r-labeling@0.4.3 r-ggplot2@4.0.1 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/mayer79/effectplots
Licenses: GPL 3+
Build system: r
Synopsis: Effect Plots
Description:

High-performance implementation of various effect plots useful for regression and probabilistic classification tasks. The package includes partial dependence plots (Friedman, 2021, <doi:10.1214/aos/1013203451>), accumulated local effect plots and M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as well as plots that describe the statistical associations between model response and features. It supports visualizations with either ggplot2 or plotly', and is compatible with most models, including Tidymodels', models wrapped in DALEX explainers, or models with case weights.

r-equalprognosis 0.1.2
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-proc@1.19.0.1 r-predtools@0.0.3 r-mime@0.13 r-ggplot2@4.0.1 r-calibrationcurves@3.0.0 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://sites.google.com/view/equal-group/home
Licenses: GPL 3+
Build system: r
Synopsis: Analysing Prognostic Studies
Description:

This package provides functions that help with analysis of prognostic study data. This allows users with little experience of developing models to develop models and assess the performance of the prognostic models. This also summarises the information, so the performance of multiple models can be displayed simultaneously. This minor update fixes issues related to memory requirements with large number of simulations and deals with situations when there is overfitting of data. Gurusamy, K (2026)<https://github.com/kurinchi2k/EQUALPrognosis>.

r-emcadr 1.3
Propagated dependencies: r-umap@0.2.10.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-logistf@1.26.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=emcAdr
Licenses: GPL 3
Build system: r
Synopsis: Evolutionary Version of the Metropolis-Hastings Algorithm
Description:

This package provides computational methods for detecting adverse high-order drug interactions from individual case safety reports using statistical techniques, allowing the exploration of higher-order interactions among drug cocktails.

r-elisr 0.1.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/sbissantz/elisr
Licenses: GPL 3+
Build system: r
Synopsis: Exploratory Likert Scaling
Description:

An alternative to Exploratory Factor Analysis (EFA) for metrical data in R. Drawing on characteristics of classical test theory, Exploratory Likert Scaling (ELiS) supports the user exploring multiple one-dimensional data structures. In common research practice, however, EFA remains the go-to method to uncover the (underlying) structure of a data set. Orthogonal dimensions and the potential of overextraction are often accepted as side effects. As described in Müller-Schneider (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these problems. As a result, elisr provides the platform to fully exploit the exploratory potential of the multiple scaling approach itself.

r-epxtor 0.4-1
Propagated dependencies: r-xml@3.99-0.20 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=epxToR
Licenses: GPL 3
Build system: r
Synopsis: Import 'Epidata' XML Files '.epx'
Description:

Import data from Epidata XML files .epx and convert it to R data structures.

r-eirm 0.5
Propagated dependencies: r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-reshape2@1.4.5 r-readxl@1.4.5 r-optimx@2025-4.9 r-magrittr@2.0.4 r-lme4@1.1-37 r-ggplot2@4.0.1 r-ggeffects@2.3.1 r-blme@1.0-6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/okanbulut/eirm
Licenses: GPL 3+
Build system: r
Synopsis: Explanatory Item Response Modeling for Dichotomous and Polytomous Items
Description:

Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Bulut, Gorgun, & Yildirim-Erbasli (2021) <doi:10.3390/psych3030023>, Stanke & Bulut (2019) <doi:10.21449/ijate.515085>, and De Boeck & Wilson (2004) <doi:10.1007/978-1-4757-3990-9>. Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses.

r-epiinvert 0.3.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/lalvarezmat/EpiInvert
Licenses: GPL 2+
Build system: r
Synopsis: Variational Techniques in Epidemiology
Description:

Using variational techniques we address some epidemiological problems as the incidence curve decomposition by inverting the renewal equation as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540> or the estimation of the functional relationship between epidemiological indicators. We also propose a learning method for the short time forecast of the trend incidence curve as described in Morel et al. (2022) <doi:10.1101/2022.11.05.22281904>.

r-er 1.1.2
Propagated dependencies: r-scales@1.4.0 r-plsvarsel@0.9.13 r-pls@2.8-5 r-gridextra@2.3 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ER
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Effect + Residual Modelling
Description:

Multivariate modeling of data after deflation of interfering effects. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

r-espadon 1.11.3
Propagated dependencies: r-sodium@1.4.0 r-shinywidgets@0.9.0 r-shiny@1.11.1 r-rvcg@0.25 r-rgl@1.3.31 r-rdpack@2.6.4 r-rcpp@1.1.0 r-qs2@0.1.6 r-progress@1.2.3 r-openxlsx@4.2.8.1 r-misc3d@0.9-1 r-matrix@1.7-4 r-mathjaxr@1.8-0 r-js@1.2.1 r-igraph@2.2.1 r-dt@0.34.0 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://espadon.cnrs.fr
Licenses: GPL 3
Build system: r
Synopsis: Easy Study of Patient DICOM Data in Oncology
Description:

Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.

r-estimategroupnetwork 0.3.1
Propagated dependencies: r-qgraph@1.9.8 r-igraph@2.2.1 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EstimateGroupNetwork
Licenses: GPL 2+
Build system: r
Synopsis: Perform the Joint Graphical Lasso and Selects Tuning Parameters
Description:

Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.

r-ebnm 1.1-42
Propagated dependencies: r-trust@0.1-8 r-truncnorm@1.0-9 r-rlang@1.1.6 r-mixsqp@0.3-54 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-deconvolver@1.2-1 r-ashr@2.2-63
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/stephenslab/ebnm
Licenses: GPL 3+
Build system: r
Synopsis: Solve the Empirical Bayes Normal Means Problem
Description:

This package provides simple, fast, and stable functions to fit the normal means model using empirical Bayes. For available models and details, see function ebnm(). Our JSS article, Willwerscheid, Carbonetto, and Stephens (2025) <doi:10.18637/jss.v114.i03>, provides a detailed introduction to the package.

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Total results: 68658