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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-eqtesting 0.1.1
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/jack-fitzgerald/eqtesting
Licenses: FSDG-compatible
Build system: r
Synopsis: Equivalence Testing Functions
Description:

This package contains several functions for equivalence testing and practical significance testing. First, the tsti() command provides an automatic computation of three-sided testing results for a given estimate, standard error, and region of practical equivalence. For details, see Goeman, Solari, & Stijnen (2010) <doi:10.1002/sim.4002> and Isager & Fitzgerald (2024) <doi:10.31234/osf.io/8y925>. Second, the lddtest() command performs logarithmic density discontinuity equivalence testing for regression discontinuity designs. For reference, see Fitzgerald (2025) <doi:10.31222/osf.io/2dgrp_v1>.

r-eltr 0.1.0
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://randhirbilkhu.github.io/eltr/
Licenses: LGPL 2.1+
Build system: r
Synopsis: Utilise Catastrophe Model Event Loss Table Outputs
Description:

This package provides a tool to run Monte Carlo simulation of catastrophe model event loss tables, using a Poisson frequency and Beta severity distribution.

r-emreliability 1.0.0
Propagated dependencies: r-rlang@1.1.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=emreliability
Licenses: Expat
Build system: r
Synopsis: Test Reliability and CSEM in Educational Measurement
Description:

This package provides functions for computing test reliability and conditional standard error of measurement (CSEM) based on the methods described in the Reliability in Educational Measurement chapter of the 5th edition of "Educational Measurement" by Lee and Harris (2025, ISBN:9780197654965).

r-ecosim 1.3-5
Propagated dependencies: r-stoichcalc@1.1-5 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ecosim
Licenses: GPL 2+
Build system: r
Synopsis: Toolbox for Aquatic Ecosystem Modeling
Description:

This package provides classes and methods for implementing aquatic ecosystem models, for running these models, and for visualizing their results.

r-emss 1.1.1
Propagated dependencies: r-sampleselection@1.2-14 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/SangkyuStat/EMSS
Licenses: GPL 2
Build system: r
Synopsis: Some EM-Type Estimation Methods for the Heckman Selection Model
Description:

Some EM-type algorithms to estimate parameters for the well-known Heckman selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional Maximization Either). Since the algorithms are based on the EM algorithm, they also have EMâ s main advantages, namely, stability and ease of implementation. Further details and explanations of the algorithms can be found in Zhao et al. (2020) <doi: 10.1016/j.csda.2020.106930>.

r-ecce 3.0.3
Propagated dependencies: r-uuid@1.2-1 r-jsonlite@2.0.0 r-httr@1.4.7 r-digest@0.6.39 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cxy.cc/rproj/ecce/
Licenses: Expat
Build system: r
Synopsis: Translate English Sentence into Chinese, or Translate Chinese Sentence into English
Description:

If translate English or Chinese sentence, there is a faster way for R user. You can pass in an English or Chinese sentence, ecce package support both English and Chinese translation. It also support browse translation results in website. In addition, also support obtain the pinyin of the Chinese character, you can more easily understand the pronunciation of the Chinese character.

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-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-exactltre 0.1.2
Propagated dependencies: r-popdemo@1.3-2 r-matrixcalc@1.0-6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=exactLTRE
Licenses: Expat
Build system: r
Synopsis: An Exact Method for Life Table Response Experiment (LTRE) Analysis
Description:

Life Table Response Experiments (LTREs) are a method of comparative demographic analysis. The purpose is to quantify how the difference or variance in vital rates (stage-specific survival, growth, and fertility) among populations contributes to difference or variance in the population growth rate, "lambda." We provide functions for one-way fixed design and random design LTRE, using either the classical methods that have been in use for several decades, or an fANOVA-based exact method that directly calculates the impact on lambda of changes in matrix elements, for matrix elements and their interactions. The equations and descriptions for the classical methods of LTRE analysis can be found in Caswell (2001, ISBN: 0878930965), and the fANOVA-based exact methods are described in Hernandez et al. (2023) <doi:10.1111/2041-210X.14065>. We also provide some demographic functions, including generation time from Bienvenu and Legendre (2015) <doi:10.1086/681104>. For implementation of exactLTRE where all possible interactions are calculated, we use an operator matrix presented in Poelwijk, Krishna, and Ranganathan (2016) <doi:10.1371/journal.pcbi.1004771>.

r-excelfunctionsr 0.1.4
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-roperators@1.3.14 r-plyr@1.8.9 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ExcelFunctionsR
Licenses: GPL 3
Build system: r
Synopsis: Imports Excel Functions to R
Description:

This package implements Excel functions in R for your calculation simplicity.You can use most of the aggregate functions, addressing functions,logical functions and text functions. Helps you a ton in learning how R works as some Excel users might be struggling with the program.

r-effectstars 1.9-1
Propagated dependencies: r-vgam@1.1-13
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EffectStars
Licenses: GPL 2
Build system: r
Synopsis: Visualization of Categorical Response Models
Description:

Notice: The package EffectStars2 provides a more up-to-date implementation of effect stars! EffectStars provides functions to visualize regression models with categorical response as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. The effects of the variables are plotted with star plots in order to allow for an optical impression of the fitted model.

r-etas 0.7.2
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-rcpp@1.1.0 r-maps@3.4.3 r-lattice@0.22-7 r-goftest@1.2-3 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/jalilian/ETAS
Licenses: GPL 2+
Build system: r
Synopsis: Modeling Earthquake Data Using 'ETAS' Model
Description:

Fits the space-time Epidemic Type Aftershock Sequence ('ETAS') model to earthquake catalogs using a stochastic declustering approach. The ETAS model is a spatio-temporal marked point process model and a special case of the Hawkes process. The package is based on a Fortran program by Jiancang Zhuang (available at <https://bemlar.ism.ac.jp/zhuang/software.html>), which is modified and translated into C++ and C such that it can be called from R. Parallel computing with OpenMP is possible on supported platforms.

r-envdocument 2.4.2
Propagated dependencies: r-renv@1.1.5 r-here@1.0.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/dgJacks0n/envDocument
Licenses: GPL 3+
Build system: r
Synopsis: Document the R Working Environment
Description:

Prints out information about the R working environment (system, R version,loaded and attached packages and versions) from a single function "env_doc()". Optionally adds information on git repository, tags, commits and remotes (if available).

r-extlasso 0.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=extlasso
Licenses: GPL 2+
Build system: r
Synopsis: Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Description:

Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. Currently lasso and elastic net penalized linear regression and generalized linear models are considered. This package currently utilizes an accurate approximation of L1 penalty and then a modified Jacobi algorithm to estimate the coefficients. There is provision for plotting of the solutions and predictions of coefficients at given values of lambda. This package also contains functions for cross validation to select a suitable lambda value given the data. Also provides a function for estimation in fused lasso penalized linear regression. For more details, see Mandal, B. N.(2014). Computational methods for L1 penalized GLM model fitting, unpublished report submitted to Macquarie University, NSW, Australia.

r-ensembletax 1.1.1
Propagated dependencies: r-usethis@3.2.1 r-stringr@1.6.0 r-reshape2@1.4.5 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-decipher@3.6.0 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ensembleTax
Licenses: Expat
Build system: r
Synopsis: Ensemble Taxonomic Assignments of Amplicon Sequencing Data
Description:

This package creates ensemble taxonomic assignments of amplicon sequencing data in R using outputs of multiple taxonomic assignment algorithms and/or reference databases. Includes flexible algorithms for mapping taxonomic nomenclatures onto one another and for computing ensemble taxonomic assignments.

r-ensemblepp 1.0-0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ensemblepp
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Ensemble Postprocessing Data Sets
Description:

Data sets for the chapter "Ensemble Postprocessing with R" of the book Stephane Vannitsem, Daniel S. Wilks, and Jakob W. Messner (2018) "Statistical Postprocessing of Ensemble Forecasts", Elsevier, 362pp. These data sets contain temperature and precipitation ensemble weather forecasts and corresponding observations at Innsbruck/Austria. Additionally, a demo with the full code of the book chapter is provided.

r-easyverification 0.4.5
Propagated dependencies: r-specsverification@0.5-3 r-rcpp@1.1.0 r-pbapply@1.7-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://www.meteoswiss.admin.ch
Licenses: GPL 3
Build system: r
Synopsis: Ensemble Forecast Verification for Large Data Sets
Description:

Set of tools to simplify application of atomic forecast verification metrics for (comparative) verification of ensemble forecasts to large data sets. The forecast metrics are imported from the SpecsVerification package, and additional forecast metrics are provided with this package. Alternatively, new user-defined forecast scores can be implemented using the example scores provided and applied using the functionality of this package.

r-esmtools 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-lubridate@1.9.4 r-knitr@1.50 r-kableextra@1.4.0 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-fs@1.6.6 r-dt@0.34.0 r-dplyr@1.1.4 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://gitlab.kuleuven.be/ppw-okpiv/researchers/u0148925/esmtools/
Licenses: GPL 3+
Build system: r
Synopsis: Preprocessing Experience Sampling Method (ESM) Data
Description:

Tailored explicitly for Experience Sampling Method (ESM) data, it contains a suite of functions designed to simplify preprocessing steps and create subsequent reporting. It empowers users with capabilities to extract critical insights during preprocessing, conducts thorough data quality assessments (e.g., design and sampling scheme checks, compliance rate, careless responses), and generates visualizations and concise summary tables tailored specifically for ESM data. Additionally, it streamlines the creation of informative and interactive preprocessing reports, enabling researchers to transparently share their dataset preprocessing methodologies. Finally, it is part of a larger ecosystem which includes a framework and a web gallery (<https://preprocess.esmtools.com/>).

r-ertg3d 0.7.0
Propagated dependencies: r-tiff@0.1-12 r-rastervis@0.51.7 r-raster@3.6-32 r-plotly@4.11.0 r-pbapply@1.7-4 r-ggplot2@4.0.1 r-circstats@0.2-7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://munterfi.github.io/eRTG3D/
Licenses: GPL 3
Build system: r
Synopsis: Empirically Informed Random Trajectory Generation in 3-D
Description:

This package creates realistic random trajectories in a 3-D space between two given fix points, so-called conditional empirical random walks (CERWs). The trajectory generation is based on empirical distribution functions extracted from observed trajectories (training data) and thus reflects the geometrical movement characteristics of the mover. A digital elevation model (DEM), representing the Earth's surface, and a background layer of probabilities (e.g. food sources, uplift potential, waterbodies, etc.) can be used to influence the trajectories. Unterfinger M (2018). "3-D Trajectory Simulation in Movement Ecology: Conditional Empirical Random Walk". Master's thesis, University of Zurich. <https://www.geo.uzh.ch/dam/jcr:6194e41e-055c-4635-9807-53c5a54a3be7/MasterThesis_Unterfinger_2018.pdf>. Technitis G, Weibel R, Kranstauber B, Safi K (2016). "An algorithm for empirically informed random trajectory generation between two endpoints". GIScience 2016: Ninth International Conference on Geographic Information Science, 9, online. <doi:10.5167/uzh-130652>.

r-enchange 1.1
Propagated dependencies: r-rcpp@1.1.0 r-iterators@1.0.14 r-hawkes@0.0-4 r-foreach@1.5.2 r-doparallel@1.0.17 r-acdm@1.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eNchange
Licenses: GPL 2+
Build system: r
Synopsis: Ensemble Methods for Multiple Change-Point Detection
Description:

This package implements a segmentation algorithm for multiple change-point detection in univariate time series using the Ensemble Binary Segmentation of Korkas (2022) <Journal of the Korean Statistical Society, 51(1), pp.65-86.>.

r-emd 1.5.9
Propagated dependencies: r-locfit@1.5-9.12 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EMD
Licenses: GPL 3+
Build system: r
Synopsis: Empirical Mode Decomposition and Hilbert Spectral Analysis
Description:

For multiscale analysis, this package carries out empirical mode decomposition and Hilbert spectral analysis. For usage of EMD, see Kim and Oh, 2009 (Kim, D and Oh, H.-S. (2009) EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum, The R Journal, 1, 40-46).

r-ecm 7.2.0
Propagated dependencies: r-earth@5.3.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/gaurbans/ecm
Licenses: GPL 2+
Build system: r
Synopsis: Build Error Correction Models
Description:

This package provides functions for easy building of error correction models (ECM) for time series regression.

r-eventtrack 1.0.4
Propagated dependencies: r-survival@3.8-3 r-muhaz@1.2.6.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eventTrack
Licenses: GPL 2+
Build system: r
Synopsis: Event Prediction for Time-to-Event Endpoints
Description:

This package implements the hybrid framework for event prediction described in Fang & Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.

r-ecolmod 1.2.6.4
Propagated dependencies: r-shape@1.4.6.1 r-rootsolve@1.8.2.4 r-diagram@1.6.5 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ecolMod
Licenses: GPL 2+
Build system: r
Synopsis: "A Practical Guide to Ecological Modelling - Using R as a Simulation Platform"
Description:

Figures, data sets and examples from the book "A practical guide to ecological modelling - using R as a simulation platform" by Karline Soetaert and Peter MJ Herman (2009). Springer. All figures from chapter x can be generated by "demo(chapx)", where x = 1 to 11. The R-scripts of the model examples discussed in the book are in subdirectory "examples", ordered per chapter. Solutions to model projects are in the same subdirectories.

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