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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-erify 0.6.0
Propagated dependencies: r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/flujoo/erify
Licenses: Expat
Build system: r
Synopsis: Check Arguments and Generate Readable Error Messages
Description:

This package provides several validator functions for checking if arguments passed by users have valid types, lengths, etc. and for generating informative and well-formatted error messages in a consistent style. Also provides tools for users to create their own validator functions. The error message style used is adopted from <https://style.tidyverse.org/error-messages.html>.

r-evapore 1.0.1
Dependencies: proj@9.3.1 gdal@3.8.2
Propagated dependencies: r-twc@0.0.2 r-raster@3.6-32 r-lubridate@1.9.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/AkbarR1184/evapoRe
Licenses: GPL 3
Build system: r
Synopsis: Evapotranspiration R Recipes
Description:

An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. evapoRe enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based, combined type, and radiation-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. evapoRe supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.

r-eatme 0.1.0
Propagated dependencies: r-qcr@1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EATME
Licenses: GPL 3
Build system: r
Synopsis: Exponentially Weighted Moving Average with Adjustments to Measurement Error
Description:

The univariate statistical quality control tool aims to address measurement error effects when constructing exponentially weighted moving average p control charts. The method primarily focuses on binary random variables, but it can be applied to any continuous random variables by using sign statistic to transform them to discrete ones. With the correction of measurement error effects, we can obtain the corrected control limits of exponentially weighted moving average p control chart and reasonably adjusted exponentially weighted moving average p control charts. The methods in this package can be found in some relevant references, such as Chen and Yang (2022) <arXiv: 2203.03384>; Yang et al. (2011) <doi: 10.1016/j.eswa.2010.11.044>; Yang and Arnold (2014) <doi: 10.1155/2014/238719>; Yang (2016) <doi: 10.1080/03610918.2013.763980> and Yang and Arnold (2016) <doi: 10.1080/00949655.2015.1125901>.

r-eummd 0.2.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eummd
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Efficient Univariate Maximum Mean Discrepancy
Description:

Computes maximum mean discrepancy two-sample test for univariate data using the Laplacian kernel, as described in Bodenham and Kawahara (2023) <doi:10.1007/s11222-023-10271-x>. The p-value is computed using permutations. Also includes implementation for computing the robust median difference statistic Q_n from Croux and Rousseeuw (1992) <doi:10.1007/978-3-662-26811-7_58> based on Johnson and Mizoguchi (1978) <doi:10.1137/0207013>.

r-emdannhybrid 0.2.0
Propagated dependencies: r-forecast@8.24.0 r-emd@1.5.9
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EMDANNhybrid
Licenses: GPL 3
Build system: r
Synopsis: Empirical Mode Decomposition Based Artificial Neural Network Model
Description:

Application of empirical mode decomposition based artificial neural network model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=1&article=013>; (ii) Das (2020) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=56&issue=2&article=002>.

r-europop 0.3.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/mdlincoln/europop
Licenses: CC0
Build system: r
Synopsis: Historical Populations of European Cities, 1500-1800
Description:

This dataset contains population estimates of all European cities with at least 10,000 inhabitants during the period 1500-1800. These data are adapted from Jan De Vries, "European Urbanization, 1500-1800" (1984).

r-epr 3.0
Propagated dependencies: r-lme4@1.1-37 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=epr
Licenses: GPL 2
Build system: r
Synopsis: Easy Polynomial Regression
Description:

This package performs analysis of polynomial regression in simple designs with quantitative treatments.

r-eclipseplot 0.9.4
Propagated dependencies: r-tidyr@1.3.1 r-readxl@1.4.5 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/pevid-sci/eclipseplot
Licenses: GPL 3
Build system: r
Synopsis: Graphical Visualizations for ROBUST-RCT Risk of Bias Assessments
Description:

This package provides visual representations of risk-of-bias assessments using the ROBUST-RCT framework, as described in Wang et al. (2025) <doi:10.1136/bmj-2024-081199>. The graphical visualization displays both factual evaluation (Step 1) and judgment (Step 2).

r-eudract 1.1.1
Propagated dependencies: r-xslt@1.5.1 r-xml2@1.5.0 r-tidyr@1.3.1 r-scales@1.4.0 r-patchwork@1.3.2 r-magrittr@2.0.4 r-httr@1.4.7 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://eudract-tool.medschl.cam.ac.uk/
Licenses: GPL 2
Build system: r
Synopsis: Creates Safety Results Summary in XML to Upload to EudraCT, or ClinicalTrials.gov
Description:

The remit of the European Clinical Trials Data Base (EudraCT <https://eudract.ema.europa.eu/> ), or ClinicalTrials.gov <https://clinicaltrials.gov/>, is to provide open access to summaries of all registered clinical trial results; thus aiming to prevent non-reporting of negative results and provide open-access to results to inform future research. The amount of information required and the format of the results, however, imposes a large extra workload at the end of studies on clinical trial units. In particular, the adverse-event-reporting component requires entering: each unique combination of treatment group and safety event; for every such event above, a further 4 pieces of information (body system, number of occurrences, number of subjects, number exposed) for non-serious events, plus an extra three pieces of data for serious adverse events (numbers of causally related events, deaths, causally related deaths). This package prepares the required statistics needed by EudraCT and formats them into the precise requirements to directly upload an XML file into the web portal, with no further data entry by hand.

r-eatdb 0.5.0
Propagated dependencies: r-rsqlite@2.4.4 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eatDB
Licenses: GPL 2+
Build system: r
Synopsis: Spreadsheet Interface for Relational Databases
Description:

Use SQLite3 as a database system via a complete SQL free R interface, treating the data as if it was a single spreadsheet.

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-extremeindex 0.0.3
Propagated dependencies: r-gmm@1.9-1 r-evir@1.7-4 r-evd@2.3-7.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=extremeIndex
Licenses: GPL 3
Build system: r
Synopsis: Forecast Verification for Extreme Events
Description:

An index measuring the amount of information brought by forecasts for extreme events, subject to calibration, is computed. This index is originally designed for weather or climate forecasts, but it may be used in other forecasting contexts. This is the implementation of the index in Taillardat et al. (2019) <arXiv:1905.04022>.

r-eph 1.0.2
Propagated dependencies: r-zoo@1.8-14 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readxl@1.4.5 r-purrr@1.2.0 r-leaflet@2.2.3 r-httr@1.4.7 r-htmltools@0.5.8.1 r-expss@0.11.7 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/ropensci/eph
Licenses: Expat
Build system: r
Synopsis: Argentina's Permanent Household Survey Data and Manipulation Utilities
Description:

This package provides tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.

r-echarts4r 0.5.0
Propagated dependencies: r-shiny@1.11.1 r-scales@1.4.0 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-dplyr@1.1.4 r-countrycode@1.6.1 r-corrplot@0.95 r-cli@3.6.5 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://echarts4r.john-coene.com
Licenses: ASL 2.0
Build system: r
Synopsis: Create Interactive Graphs with 'Echarts JavaScript' Version 6
Description:

Easily create interactive charts by leveraging the Echarts Javascript library which includes 36 chart types, themes, Shiny proxies and animations.

r-escvtmle 0.0.2
Propagated dependencies: r-tidyselect@1.2.1 r-superlearner@2.0-29 r-stringr@1.6.0 r-origami@1.0.7 r-mass@7.3-65 r-gridextra@2.3 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://github.com/Lauren-EylerDang/EScvtmle/tree/main
Licenses: GPL 3
Build system: r
Synopsis: Experiment-Selector CV-TMLE for Integration of Observational and RCT Data
Description:

The experiment selector cross-validated targeted maximum likelihood estimator (ES-CVTMLE) aims to select the experiment that optimizes the bias-variance tradeoff for estimating a causal average treatment effect (ATE) where different experiments may include a randomized controlled trial (RCT) alone or an RCT combined with real-world data. Using cross-validation, the ES-CVTMLE separates the selection of the optimal experiment from the estimation of the ATE for the chosen experiment. The estimated bias term in the selector is a function of the difference in conditional mean outcome under control for the RCT compared to the combined experiment. In order to help include truly unbiased external data in the analysis, the estimated average treatment effect on a negative control outcome may be added to the bias term in the selector. For more details about this method, please see Dang et al. (2022) <arXiv:2210.05802>.

r-el2surv 1.1
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EL2Surv
Licenses: GPL 2+
Build system: r
Synopsis: Empirical Likelihood (EL) for Comparing Two Survival Functions
Description:

This package provides functions for computing critical values and implementing the one-sided/two-sided EL tests.

r-evapotranspiration 1.16
Propagated dependencies: r-zoo@1.8-14
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=Evapotranspiration
Licenses: GPL 2+
Build system: r
Synopsis: Modelling Actual, Potential and Reference Crop Evapotranspiration
Description:

Uses data and constants to calculate potential evapotranspiration (PET) and actual evapotranspiration (AET) from 21 different formulations including Penman, Penman-Monteith FAO 56, Priestley-Taylor and Morton formulations.

r-eztune 3.1.1
Propagated dependencies: r-rpart@4.1.24 r-rocr@1.0-11 r-optimx@2025-4.9 r-glmnet@4.1-10 r-gbm@2.2.2 r-ga@3.2.4 r-e1071@1.7-16 r-biocstyle@2.38.0 r-ada@2.0-5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EZtune
Licenses: GPL 3
Build system: r
Synopsis: Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines
Description:

This package contains two functions that are intended to make tuning supervised learning methods easy. The eztune function uses a genetic algorithm or Hooke-Jeeves optimizer to find the best set of tuning parameters. The user can choose the optimizer, the learning method, and if optimization will be based on accuracy obtained through validation error, cross validation, or resubstitution. The function eztune.cv will compute a cross validated error rate. The purpose of eztune_cv is to provide a cross validated accuracy or MSE when resubstitution or validation data are used for optimization because error measures from both approaches can be misleading.

r-echarty 1.7.1
Propagated dependencies: r-htmlwidgets@1.6.4 r-dplyr@1.1.4 r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://helgasoft.github.io/echarty/
Licenses: ASL 2.0
Build system: r
Synopsis: Minimal R/Shiny Interface to JavaScript Library 'ECharts'
Description:

Deliver the full functionality of ECharts with minimal overhead. echarty users build R lists for ECharts API. Lean set of powerful commands.

r-edison 1.1.2
Propagated dependencies: r-mass@7.3-65 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EDISON
Licenses: GPL 2
Build system: r
Synopsis: Network Reconstruction and Changepoint Detection
Description:

Package EDISON (Estimation of Directed Interactions from Sequences Of Non-homogeneous gene expression) runs an MCMC simulation to reconstruct networks from time series data, using a non-homogeneous, time-varying dynamic Bayesian network. Networks segments and changepoints are inferred concurrently, and information sharing priors provide a reduction of the inference uncertainty.

r-eixport 0.6.2
Propagated dependencies: r-sf@1.0-23 r-raster@3.6-32 r-ncdf4@1.24 r-data-table@1.17.8 r-cptcity@1.1.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://atmoschem.github.io/eixport/
Licenses: Expat
Build system: r
Synopsis: Export Emissions to Atmospheric Models
Description:

Emissions are the mass of pollutants released into the atmosphere. Air quality models need emissions data, with spatial and temporal distribution, to represent air pollutant concentrations. This package, eixport, creates inputs for the air quality models WRF-Chem Grell et al (2005) <doi:10.1016/j.atmosenv.2005.04.027>, MUNICH Kim et al (2018) <doi:10.5194/gmd-11-611-2018> , BRAMS-SPM Freitas et al (2005) <doi:10.1016/j.atmosenv.2005.07.017> and RLINE Snyder et al (2013) <doi:10.1016/j.atmosenv.2013.05.074>. See the eixport website (<https://atmoschem.github.io/eixport/>) for more information, documentations and examples. More details in Ibarra-Espinosa et al (2018) <doi:10.21105/joss.00607>.

r-enveomics-r 1.10.0
Propagated dependencies: r-sn@2.1.1 r-investr@1.4.2 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: http://enve-omics.ce.gatech.edu/enveomics/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Various Utilities for Microbial Genomics and Metagenomics
Description:

This package provides a collection of functions for microbial ecology and other applications of genomics and metagenomics. Companion package for the Enveomics Collection (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016 <DOI:10.7287/peerj.preprints.1900v1>).

r-esci 1.0.9
Propagated dependencies: r-stringr@1.6.0 r-statpsych@1.9.0 r-sadists@0.2.5 r-rlang@1.1.6 r-rdpack@2.6.4 r-r6@2.6.1 r-multcomp@1.4-29 r-metafor@4.8-0 r-mathjaxr@1.8-0 r-legendry@0.2.4 r-jmvcore@2.7.7 r-glue@1.8.0 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-ggbeeswarm@0.7.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/rcalinjageman/esci/
Licenses: GPL 3
Build system: r
Synopsis: Estimation Statistics with Confidence Intervals
Description:

This package provides a collection of functions and jamovi module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on statpsych and metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.

r-echor 0.1.9
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sf@1.0-23 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-plyr@1.8.9 r-httr@1.4.7 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/mps9506/echor
Licenses: Expat
Build system: r
Synopsis: Access EPA 'ECHO' Data
Description:

An R interface to United States Environmental Protection Agency (EPA) Environmental Compliance History Online ('ECHO') Application Program Interface (API). ECHO provides information about EPA permitted facilities, discharges, and other reporting info associated with permitted entities. Data are obtained from <https://echo.epa.gov/>.

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