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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-ezr 0.1.5
Propagated dependencies: r-weights@1.1.2 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-moments@0.14.1 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-dt@0.34.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/jinkim3/ezr
Licenses: GPL 3
Build system: r
Synopsis: Easy Use of R via Shiny App for Basic Analyses of Experimental Data
Description:

Runs a Shiny App in the local machine for basic statistical and graphical analyses. The point-and-click interface of Shiny App enables obtaining the same analysis outputs (e.g., plots and tables) more quickly, as compared with typing the required code in R, especially for users without much experience or expertise with coding. Examples of possible analyses include tabulating descriptive statistics for a variable, creating histograms by experimental groups, and creating a scatter plot and calculating the correlation between two variables.

r-emissv 0.666.0.0
Propagated dependencies: r-units@1.0-0 r-sf@1.0-23 r-raster@3.6-32 r-ncdf4@1.24 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://atmoschem.github.io/EmissV/
Licenses: Expat
Build system: r
Synopsis: Tools for Create Emissions for Air Quality Models
Description:

Processing tools to create emissions for use in numerical air quality models. Emissions can be calculated both using emission factors and activity data (Schuch et al 2018) <doi:10.21105/joss.00662> or using pollutant inventories (Schuch et al., 2018) <doi:10.30564/jasr.v1i1.347>. Functions to process individual point emissions, line emissions and area emissions of pollutants are available as well as methods to incorporate alternative data for Spatial distribution of emissions such as satellite images (Gavidia-Calderon et. al, 2018) <doi:10.1016/j.atmosenv.2018.09.026> or openstreetmap data (Andrade et al, 2015) <doi:10.3389/fenvs.2015.00009>.

r-eurlex 0.4.9
Propagated dependencies: r-xml2@1.5.0 r-rvest@1.0.5 r-pdftools@3.6.0 r-httr@1.4.7 r-curl@7.0.0 r-antiword@1.3.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://michalovadek.github.io/eurlex/
Licenses: GPL 3
Build system: r
Synopsis: Retrieve Data on European Union Law
Description:

Access to data on European Union laws and court decisions made easy with pre-defined SPARQL queries and GET requests. See Ovadek (2021) <doi:10.1080/2474736X.2020.1870150> .

r-extmallows 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ExtMallows
Licenses: GPL 2+
Build system: r
Synopsis: An Extended Mallows Model and Its Hierarchical Version for Ranked Data Aggregation
Description:

For multiple full/partial ranking lists, R package ExtMallows can (1) detect whether the input ranking lists are over-correlated, and (2) use the Mallows model or extended Mallows model to integrate the ranking lists, and (3) use hierarchical extended Mallows model for rank integration if there are groups of over-correlated ranking lists.

r-eegkit 1.0-5
Propagated dependencies: r-signal@1.8-1 r-rgl@1.3.31 r-ica@1.0-3 r-eegkitdata@1.1 r-bigsplines@1.1-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eegkit
Licenses: GPL 2+
Build system: r
Synopsis: Toolkit for Electroencephalography Data
Description:

Analysis and visualization tools for electroencephalography (EEG) data. Includes functions for (i) plotting EEG data, (ii) filtering EEG data, (iii) smoothing EEG data; (iv) frequency domain (Fourier) analysis of EEG data, (v) Independent Component Analysis of EEG data, and (vi) simulating event-related potential EEG data.

r-easyanova 11.0
Propagated dependencies: r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=easyanova
Licenses: GPL 2
Build system: r
Synopsis: Analysis of Variance and Other Important Complementary Analyses
Description:

Perform analysis of variance and other important complementary analyses. The functions are easy to use. Performs analysis in various designs, with balanced and unbalanced data.

r-econandprodefficiency 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EconAndProdEfficiency
Licenses: GPL 3
Build system: r
Synopsis: Economic and Production Efficiency
Description:

Production efficiency and economic efficiency are crucial concepts in agriculture/horticulture for sustainable and profitable practices. It helps to determine the optimal use of resources to maximize outputs and profitability. Production efficiency focuses on the optimal use of resources to produce goods, while economic efficiency ensures these goods are produced and allocated in a way that maximizes economic welfare. Production efficiency and economic efficiency are calculated with the help of the formula given by (Kumar et al., 2017) <doi:10.21921/jas.v4i04.10202>.

r-ekmcmc 1.1.2
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EKMCMC
Licenses: GPL 3
Build system: r
Synopsis: MCMC Procedures for Estimating Enzyme Kinetics Constants
Description:

This package provides functions for estimating catalytic constant and Michaelis-Menten constant for enzyme kinetics model using Metropolis-Hasting algorithm within Gibbs sampler based on the Bayesian framework.

r-eatata 1.1.2
Propagated dependencies: r-rglpk@0.6-5.1 r-matrix@1.7-4 r-mathjaxr@1.8-0 r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/beckerbenj/eatATA
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Create Constraints for Small Test Assembly Problems
Description:

This package provides simple functions to create constraints for small test assembly problems (e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse matrices. Currently, GLPK', lpSolve', Symphony', and Gurobi are supported as solvers. The gurobi package is not available from any mainstream repository; see <https://www.gurobi.com/downloads/>.

r-experimentr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=experimentr
Licenses: Expat
Build system: r
Synopsis: Datasets Used in Social Science Experiments: A Hands-on Introduction
Description:

This package contains all the datasets that were used in Social Science Experiments: A Hands-On Introduction and in its R Companion. Relevant materials can be found at <https://osf.io/b78je>.

r-ecoreg 0.2.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ecoreg
Licenses: GPL 2+
Build system: r
Synopsis: Ecological Regression using Aggregate and Individual Data
Description:

Estimating individual-level covariate-outcome associations using aggregate data ("ecological inference") or a combination of aggregate and individual-level data ("hierarchical related regression").

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-emburden 0.6.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-spatstat-univar@3.1-5 r-scales@1.4.0 r-rlang@1.1.6 r-readr@2.1.6 r-rappdirs@0.3.3 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/ericscheier/emburden
Licenses: AGPL 3+
Build system: r
Synopsis: Energy Burden Analysis Using Net Energy Return Methodology
Description:

Calculate and analyze household energy burden using the Net Energy Return aggregation methodology. Functions support weighted statistical calculations across geographic and demographic cohorts, with utilities for formatting results into publication-ready tables. Methods are based on Scheier & Kittner (2022) <doi:10.1038/s41467-021-27673-y>.

r-easycoda 0.40.2
Propagated dependencies: r-vegan@2.7-2 r-ellipse@0.5.0 r-ca@0.71.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/michaelgreenacre/CODAinPractice/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Compositional Data Analysis in Practice
Description:

Univariate and multivariate methods for compositional data analysis, based on logratios. The package implements the approach in the book Compositional Data Analysis in Practice by Michael Greenacre (2018), where accent is given to simple pairwise logratios. Selection can be made of logratios that account for a maximum percentage of logratio variance. Various multivariate analyses of logratios are included in the package.

r-ecolrxc 0.1.1-10
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ecolRxC
Licenses: GPL 2+
Build system: r
Synopsis: Ecological Inference of RxC Tables by Latent Structure Approaches
Description:

Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data building on Thomsen (1987) and Park (2008) approaches. References: Park, W.-H. (2008). Ecological Inference and Aggregate Analysis of Election''. PhD Dissertation. University of Michigan. <https://deepblue.lib.umich.edu/bitstream/handle/2027.42/58525/wpark_1.pdf> Thomsen, S.R. (1987, ISBN:87-7335-037-2). Danish Elections 1920 79: a Logit Approach to Ecological Analysis and Inference''. Politica, Aarhus, Denmark.

r-epigraphdb 0.2.3
Propagated dependencies: r-tibble@3.3.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://mrcieu.github.io/epigraphdb-r/
Licenses: GPL 3
Build system: r
Synopsis: Interface Package for the 'EpiGraphDB' Platform
Description:

The interface package to access data from the EpiGraphDB <https://epigraphdb.org> platform. It provides easy access to the EpiGraphDB platform with functions that query the corresponding REST endpoints on the API <https://api.epigraphdb.org> and return the response data in the tibble data frame format.

r-erlangc 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-shiny@1.11.1 r-lubridate@1.9.4 r-gmp@0.7-5 r-dt@0.34.0 r-bslib@0.9.0 r-bsicons@0.1.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ErlangC
Licenses: Expat
Build system: r
Synopsis: Solve Erlang-C Model
Description:

This package provides a set of functions to solve Erlang-C model. The Erlang C formula was invented by the Danish Mathematician A.K. Erlang and is used to calculate the number of advisors and the service level.

r-elastes 0.1.7
Propagated dependencies: r-sparseflmm@0.4.2 r-orthogonalsplinebasis@0.1.7 r-mgcv@1.9-4 r-elasdics@1.1.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://mpff.github.io/elastes/
Licenses: GPL 3+
Build system: r
Synopsis: Elastic Full Procrustes Means for Sparse and Irregular Planar Curves
Description:

This package provides functions for the computation of functional elastic shape means over sets of open planar curves. The package is particularly suitable for settings where these curves are only sparsely and irregularly observed. It uses a novel approach for elastic shape mean estimation, where planar curves are treated as complex functions and a full Procrustes mean is estimated from the corresponding smoothed Hermitian covariance surface. This is combined with the methods for elastic mean estimation proposed in Steyer, Stöcker, Greven (2022) <doi:10.1111/biom.13706>. See Stöcker et. al. (2022) <arXiv:2203.10522> for details.

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-evsim 1.7.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-mass@7.3-65 r-lubridate@1.9.4 r-jsonlite@2.0.0 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/resourcefully-dev/evsim/
Licenses: GPL 3
Build system: r
Synopsis: Electric Vehicle Charging Sessions Simulation
Description:

Simulation of Electric Vehicles charging sessions using Gaussian models, together with time-series power demand calculations.

r-evoper 0.6.0
Propagated dependencies: r-rrepast@0.8.0 r-rnetlogo@1.0-4 r-reshape@0.8.10 r-plyr@1.8.9 r-plot3d@1.4.2 r-logging@0.10-108 r-ggplot2@4.0.1 r-desolve@1.40 r-data-table@1.17.8 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/antonio-pgarcia/evoper
Licenses: Expat
Build system: r
Synopsis: Evolutionary Parameter Estimation for 'Repast Simphony' Models
Description:

The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible package providing optimization driven parameter estimation methods using metaheuristics and evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require, in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there are built in support for models developed with Repast Simphony Agent-Based framework (<https://repast.github.io/>) and with NetLogo (<https://www.netlogo.org/>) which are the most used frameworks for Agent-based modeling.

r-ecocbo 1.0.0
Propagated dependencies: r-vegan@2.7-2 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-ssp@1.1.0 r-rlang@1.1.6 r-plotly@4.11.0 r-parallelly@1.45.1 r-parabar@1.4.2 r-ggpubr@0.6.2 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/arturoSP/ecocbo
Licenses: GPL 3+
Build system: r
Synopsis: Calculating Optimum Sampling Effort in Community Ecology
Description:

This package provides a system for calculating the optimal sampling effort, based on the ideas of "Ecological cost-benefit optimization" as developed by A. Underwood (1997, ISBN 0 521 55696 1). Data is obtained from simulated ecological communities with prep_data() which formats and arranges the initial data, and then the optimization follows the following procedure of four functions: (1) prep_data() takes the original dataset and creates simulated sets that can be used as a basis for estimating statistical power and type II error. (2) sim_beta() is used to estimate the statistical power for the different sampling efforts specified by the user. (3) sim_cbo() calculates then the optimal sampling effort, based on the statistical power and the sampling costs. Additionally, (4) scompvar() calculates the variation components necessary for (5) Underwood_cbo() to calculate the optimal combination of number of sites and samples depending on either an economic budget or on a desired statistical accuracy. Lastly, (6) plot_power() helps the user visualize the results of sim_beta().

r-edne-eq 1.0
Propagated dependencies: 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=EDNE.EQ
Licenses: GPL 3
Build system: r
Synopsis: Implements the EDNE-Test for Equivalence
Description:

Package implements the EDNE-test for equivalence according to Hoffelder et al. (2015) <DOI:10.1080/10543406.2014.920344>. "EDNE" abbreviates "Euclidean Distance between the Non-standardized Expected values". The EDNE-test for equivalence is a multivariate two-sample equivalence test. Distance measure of the test is the Euclidean distance. The test is an asymptotically valid test for the family of distributions fulfilling the assumptions of the multivariate central limit theorem (see Hoffelder et al.,2015). The function EDNE.EQ() implements the EDNE-test for equivalence according to Hoffelder et al. (2015). The function EDNE.EQ.dissolution.profiles() implements a variant of the EDNE-test for equivalence analyses of dissolution profiles (see Suarez-Sharp et al.,2020 <DOI:10.1208/s12248-020-00458-9>). EDNE.EQ.dissolution.profiles() checks whether the quadratic mean of the differences of the expected values of both dissolution profile populations is statistically significantly smaller than 10 [\% of label claim]. The current regulatory standard approach for equivalence analyses of dissolution profiles is the similarity factor f2. The statistical hypotheses underlying EDNE.EQ.dissolution.profiles() coincide with the hypotheses for f2 (see Hoffelder et al.,2015, Suarez-Sharp et al., 2020).

r-epitrix 0.4.1
Propagated dependencies: r-tidyr@1.3.1 r-stringi@1.8.7 r-sodium@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-dplyr@1.1.4 r-distcrete@1.0.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: http://www.repidemicsconsortium.org/epitrix/
Licenses: Expat
Build system: r
Synopsis: Small Helpers and Tricks for Epidemics Analysis
Description:

This package provides a collection of small functions useful for epidemics analysis and infectious disease modelling. This includes computation of basic reproduction numbers from growth rates, generation of hashed labels to anonymize data, and fitting discretized Gamma distributions.

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