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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-equalcovs 1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=equalCovs
Licenses: GPL 2
Build system: r
Synopsis: Testing the Equality of Two Covariance Matrices
Description:

Tests the equality of two covariance matrices, used in paper "Two sample tests for high dimensional covariance matrices." Li and Chen (2012) <arXiv:1206.0917>.

r-egm 0.2.0
Propagated dependencies: r-xml2@1.5.0 r-vctrs@0.6.5 r-stringr@1.6.0 r-signal@1.8-1 r-rlang@1.1.6 r-ggplot2@4.0.1 r-fs@1.6.6 r-data-table@1.17.8 r-cpp11@0.5.2 r-checkmate@2.3.3 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://shah-in-boots.github.io/EGM/
Licenses: GPL 3+
Build system: r
Synopsis: Intracardiac Electrograms
Description:

This package provides a system for importing electrophysiological signal, based on the Waveform Database (WFDB) software package, written by Moody et al 2022 <doi:10.13026/gjvw-1m31>. A R-based system to utilize WFDB functions for reading and writing signal data, as well as functions for visualization and analysis are provided. A stable and broadly compatible class for working with signal data, supporting the reading in of cardiac electrophysiological files such as intracardiac electrograms, is introduced.

r-ecostats 1.2.2
Propagated dependencies: r-mvtnorm@1.3-3 r-mvabund@4.2.1 r-mgcv@1.9-4 r-mass@7.3-65 r-get@1.0-7 r-ecocopula@1.0.6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://dwarton.github.io/ecostats/
Licenses: LGPL 2.1+
Build system: r
Synopsis: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Description:

This package provides functions and data supporting the Eco-Stats text (Warton, 2022, Springer), and solutions to exercises. Functions include tools for using simulation envelopes in diagnostic plots, and a function for diagnostic plots of multivariate linear models. Datasets mentioned in the package are included here (where not available elsewhere) and there is a vignette for each chapter of the text with solutions to exercises.

r-evi 0.2.0-0
Propagated dependencies: r-ggplot2@4.0.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://www.nature.com/articles/s41598-021-02622-3
Licenses: GPL 3+
Build system: r
Synopsis: Epidemic Volatility Index as an Early-Warning Tool
Description:

This is an R package implementing the epidemic volatility index (EVI), as discussed by Kostoulas et. al. (2021) and variations by Pateras et. al. (2023). EVI is a new, conceptually simple, early warning tool for oncoming epidemic waves. EVI is based on the volatility of newly reported cases per unit of time, ideally per day, and issues an early warning when the volatility change rate exceeds a threshold.

r-evola 1.0.7
Propagated dependencies: r-matrix@1.7-4 r-enhancer@1.1.0 r-crayon@1.5.3 r-alphasimr@2.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=evola
Licenses: GPL 2+
Build system: r
Synopsis: Evolutionary Algorithm
Description:

Runs an evolutionary algorithm using the AlphaSimR machinery <doi:10.1093/g3journal/jkaa017> .

r-eive 3.1.3
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=eive
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: An Algorithm for Reducing Errors-in-Variable Bias in Simple and Multiple Linear Regressions
Description:

This package performs a compact genetic algorithm search to reduce errors-in-variables bias in linear regression. The algorithm estimates the regression parameters with lower biases and higher variances but mean-square errors (MSEs) are reduced.

r-ebchs 0.1.0
Propagated dependencies: r-pracma@2.4.6 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/dulilun/EBCHS
Licenses: Expat
Build system: r
Synopsis: An Empirical Bayes Method for Chi-Squared Data
Description:

We provide the main R functions to compute the posterior interval for the noncentrality parameter of the chi-squared distribution. The skewness estimate of the posterior distribution is also available to improve the coverage rate of posterior intervals. Details can be found in Du and Hu (2020) <doi:10.1080/01621459.2020.1777137>.

r-epicmodel 0.2.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-spsutil@0.2.2.1 r-shinythemes@1.2.0 r-shinyjs@2.1.0 r-shinyalert@3.1.0 r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-prompter@1.2.1 r-magrittr@2.0.4 r-gtools@3.9.5 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-diagrammer@1.0.11 r-dagitty@0.3-4 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://forsterepi.github.io/epicmodel/
Licenses: GPL 3+
Build system: r
Synopsis: Causal Modeling in Epidemiology
Description:

Create causal models for use in epidemiological studies, including sufficient-component cause models as introduced by Rothman (1976) <doi:10.1093/oxfordjournals.aje.a112335>.

r-emov 0.1.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/schw4b/emov
Licenses: GPL 3
Build system: r
Synopsis: Eye Movement Analysis Package for Fixation and Saccade Detection
Description:

Fixation and saccade detection in eye movement recordings. This package implements a dispersion-based algorithm (I-DT) proposed by Salvucci & Goldberg (2000) which detects fixation duration and position.

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-eql 1.0-1
Propagated dependencies: r-ttutils@1.0-1.1 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EQL
Licenses: GPL 2
Build system: r
Synopsis: Extended-Quasi-Likelihood-Function (EQL)
Description:

Computation of the EQL for a given family of variance functions, Saddlepoint-approximations and related auxiliary functions (e.g. Hermite polynomials).

r-easyahp 0.1.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=easyAHP
Licenses: GPL 3
Build system: r
Synopsis: Analytic Hierarchy Process (AHP)
Description:

Given the scores from decision makers, the analytic hierarchy process can be conducted easily.

r-evolqg 0.3-6
Propagated dependencies: r-vegan@2.7-2 r-reshape2@1.4.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plyr@1.8.9 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-morpho@2.13 r-mcmcpack@1.7-1 r-matrix@1.7-4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-expm@1.0-0 r-coda@0.19-4.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=evolqg
Licenses: Expat
Build system: r
Synopsis: Evolutionary Quantitative Genetics
Description:

This package provides functions for covariance matrix comparisons, estimation of repeatabilities in measurements and matrices, and general evolutionary quantitative genetics tools. Melo D, Garcia G, Hubbe A, Assis A P, Marroig G. (2016) <doi:10.12688/f1000research.7082.3>.

r-ediblecity 0.2.2
Propagated dependencies: r-stars@0.6-8 r-sf@1.0-23 r-rlang@1.1.6 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/icra/ediblecity
Licenses: Expat
Build system: r
Synopsis: Modeling Urban Agriculture at City Scale
Description:

The purpose of this package is to estimate the potential of urban agriculture to contribute to addressing several urban challenges at the city-scale. Within this aim, we selected 8 indicators directly related to one or several urban challenges. Also, a function is provided to compute new scenarios of urban agriculture. Methods are described by Pueyo-Ros, Comas & Corominas (2023) <doi:10.12688/openreseurope.16054.1>.

r-ebmaforecast 1.0.32
Propagated dependencies: r-separationplot@1.4 r-rcpp@1.1.0 r-plyr@1.8.9 r-hmisc@5.2-4 r-gtools@3.9.5 r-glue@1.8.0 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/fhollenbach/EBMA/
Licenses: GPL 2+
Build system: r
Synopsis: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms
Description:

Create forecasts from multiple predictions using ensemble Bayesian model averaging (EBMA). EBMA models can be estimated using an expectation maximization (EM) algorithm or as fully Bayesian models via Gibbs sampling. The methods in this package are Montgomery, Hollenbach, and Ward (2015) <doi:10.1016/j.ijforecast.2014.08.001> and Montgomery, Hollenbach, and Ward (2012) <doi:10.1093/pan/mps002>.

r-entrymodels 0.2.1
Propagated dependencies: r-readr@2.1.6 r-magrittr@2.0.4 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=entrymodels
Licenses: Expat
Build system: r
Synopsis: Estimate Entry Models
Description:

This package provides tools for measuring empirically the effects of entry in concentrated markets, based in Bresnahan and Reiss (1991) <https://www.jstor.org/stable/2937655>.

r-edgedata 0.2.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=edgedata
Licenses: GPL 3
Build system: r
Synopsis: Datasets that Support the EDGE Server DIY Logic
Description:

Datasets from most recent CCIIO DIY entry in a tidy format. These support the Centers for Medicare and Medicaid Services (CMS) risk adjustment Do-It-Yourself (DIY) process, which allows health insurance issuers to calculate member risk profiles under the Health and Human Services-Hierarchical Condition Categories (HHS-HCC) regression model. This regression model is used to calculate risk adjustment transfers. Risk adjustment is a selection mitigation program implemented under the Patient Protection and Affordable Care Act (ACA or Obamacare) in the USA. Under the ACA, health insurance issuers submit claims data to CMS in order for CMS to calculate a risk score under the HHS-HCC regression model. However, CMS does not inform issuers of their average risk score until after the data submission deadline. These data sets can be used by issuers to calculate their average risk score mid-year. More information about risk adjustment and the HHS-HCC model can be found here: <https://www.cms.gov/mmrr/Articles/A2014/MMRR2014_004_03_a03.html>.

r-easydes 6.0
Propagated dependencies: r-pmcmrplus@1.9.12 r-multcomp@1.4-29
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=easyDes
Licenses: GPL 3
Build system: r
Synopsis: An Easy Way to Descriptive Analysis
Description:

Descriptive analysis is essential for publishing medical articles. This package provides an easy way to conduct the descriptive analysis. 1. Both numeric and factor variables can be handled. For numeric variables, normality test will be applied to choose the parametric and nonparametric test. 2. Both two or more groups can be handled. For groups more than two, the post hoc test will be applied, Tukey for the numeric variables and FDR for the factor variables. 3. T test, ANOVA or Fisher test can be forced to apply. 4. Mean and standard deviation can be forced to display.

r-eventglm 1.4.5
Propagated dependencies: r-survival@3.8-3 r-sandwich@3.1-1 r-geepack@1.3.13
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://sachsmc.github.io/eventglm/
Licenses: GPL 3
Build system: r
Synopsis: Regression Models for Event History Outcomes
Description:

This package provides a user friendly, easy to understand way of doing event history regression for marginal estimands of interest, including the cumulative incidence and the restricted mean survival, using the pseudo observation framework for estimation. For a review of the methodology, see Andersen and Pohar Perme (2010) <doi:10.1177/0962280209105020> or Sachs and Gabriel (2022) <doi:10.18637/jss.v102.i09>. The interface uses the well known formulation of a generalized linear model and allows for features including plotting of residuals, the use of sampling weights, and corrected variance estimation.

r-eventdatar 0.3.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://bupar.net/
Licenses: Expat
Build system: r
Synopsis: Event Data Repository
Description:

Event dataset repository including both real-life and artificial event logs. They can be used in combination with functionalities provided by the bupaR packages. Janssenswillen et al. (2020) <http://ceur-ws.org/Vol-2703/paperTD7.pdf>.

r-e2e 0.1.2
Propagated dependencies: r-xgboost@1.7.11.1 r-timeroc@0.4 r-tidyr@1.3.1 r-survminer@0.5.1 r-survivalroc@1.0.3.1 r-survival@3.8-3 r-shapviz@0.10.3 r-rsnns@0.4-18 r-readr@2.1.6 r-randomforestsrc@2.9.3 r-prroc@1.4 r-proc@1.19.0.1 r-plsrcox@1.8.0 r-patchwork@1.3.2 r-mass@7.3-65 r-magrittr@2.0.4 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-gbm@2.2.2 r-dplyr@1.1.4 r-cowplot@1.2.0 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://xiaojie0519.github.io/E2E/
Licenses: Expat
Build system: r
Synopsis: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Description:

This package provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on GitHub at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.

r-etlutils 1.6
Propagated dependencies: r-ff@4.5.2 r-bit@4.6.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/jwijffels/ETLUtils
Licenses: GPL 2
Build system: r
Synopsis: Utility Functions to Execute Standard Extract/Transform/Load Operations (using Package 'ff') on Large Data
Description:

This package provides functions to facilitate the use of the ff package in interaction with big data in SQL databases (e.g. in Oracle', MySQL', PostgreSQL', Hive') by allowing easy importing directly into ffdf objects using DBI', RODBC and RJDBC'. Also contains some basic utility functions to do fast left outer join merging based on match', factorisation of data and a basic function for re-coding vectors.

r-epitest 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-purrr@1.2.0 r-mm4lmm@3.0.3 r-magrittr@2.0.4 r-ggrepel@0.9.6 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=EpiTest
Licenses: GPL 3+
Build system: r
Synopsis: Test for Gene x Gene Interactions in Bi-Parental Populations
Description:

This package provides functions to test for gene x gene interactions in a bi-parental population of inbred lines. The data are fitted with the mixed linear model described in Rio et al. (2022) <doi:10.1101/2022.12.18.520958>, that accounts for gene x gene interactions at both the fixed effect and variance levels. The package also provides graphical tools to display the gene x gene interaction trend at the mean level and the variance component analysis.

r-ecespa 1.1-18
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-model@3.5-0 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat@3.4-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ecespa
Licenses: GPL 2+
Build system: r
Synopsis: Functions for Spatial Point Pattern Analysis
Description:

Some wrappers, functions and data sets for for spatial point pattern analysis (mainly based on spatstat'), used in the book "Introduccion al Analisis Espacial de Datos en Ecologia y Ciencias Ambientales: Metodos y Aplicaciones" and in the papers by De la Cruz et al. (2008) <doi:10.1111/j.0906-7590.2008.05299.x> and Olano et al. (2009) <doi:10.1051/forest:2008074>.

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