_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-exampadata 0.5.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/sdcastillo/ExamPAData
Licenses: Expat
Build system: r
Synopsis: Data Sets for Predictive Analytics Exam
Description:

This package contains all data sets for Exam PA: Predictive Analytics at <https://exampa.net/>.

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-estimraw 1.0.0
Propagated dependencies: 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=estimraw
Licenses: GPL 2
Build system: r
Synopsis: Estimation of Four-Fold Table Cell Frequencies (Raw Data) from Effect Size Measures
Description:

Estimation of four-fold table cell frequencies (raw data) from risk ratios (relative risks), risk differences and odds ratios. While raw data can be useful for doing meta-analysis, such data is often not provided by primary studies (with summary statistics being solely presented). Therefore, based on summary statistics (namely, risk ratios, risk differences and odds ratios), this package estimates the value of each cell in a 2x2 table according to the equations described in Di Pietrantonj C (2006) <doi:10.1002/sim.2287>.

r-equalstats 0.5.1
Propagated dependencies: r-zip@2.3.3 r-thresholdroc@2.9.5 r-survival@3.8-3 r-stringr@1.6.0 r-shiny@1.11.1 r-pwr@1.3-0 r-proc@1.19.0.1 r-ordinal@2023.12-4.1 r-nnet@7.3-20 r-mumin@1.48.11 r-mclogit@0.9.6 r-mass@7.3-65 r-lmtest@0.9-40 r-lme4@1.1-37 r-ggsurvfit@1.2.0 r-ggplot2@4.0.1 r-ggcorrplot@0.1.4.1 r-desctools@0.99.60 r-coxme@2.2-22 r-cowplot@1.2.0 r-boot@1.3-32
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: Algorithm Driven Statistical Analysis for Researchers without Coding Skills
Description:

Support functions for R-based EQUAL-STATS software which automatically classifies the data and performs appropriate statistical tests. EQUAL-STATS software is a shiny application with an user-friendly interface to perform complex statistical analysis. Gurusamy,K (2024)<doi:10.5281/zenodo.13354162>.

r-epico 1.0.1
Propagated dependencies: r-treemapify@2.6.0 r-spdep@1.4-1 r-scales@1.4.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-leaflet@2.2.3 r-incidence@1.7.6 r-igraph@2.2.1 r-ggraph@2.2.2 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://epiverse-trace.github.io/epiCo/
Licenses: Expat
Build system: r
Synopsis: Statistical and Viz Tools for Vector-Borne Diseases in Colombia
Description:

This package provides statistical and visualization tools for the analysis of demographic indicators, and spatio-temporal behavior and characterization of outbreaks of vector-borne diseases (VBDs) in Colombia. It implements travel times estimated in Bravo-Vega C., Santos-Vega M., & Cordovez J.M. (2022), and the endemic channel method (Bortman, M. (1999) <https://iris.paho.org/handle/10665.2/8562>).

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-envnicher 1.5
Propagated dependencies: r-idpmisc@1.1.21
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EnvNicheR
Licenses: GPL 2+
Build system: r
Synopsis: Niche Estimation
Description:

This package provides a plot overlying the niche of multiple species is obtained: 1) to determine the niche conditions which favor a higher species richness, 2) to create a box plot with the range of environmental variables of the species, 3) to obtain a list of species in an area of the niche selected by the user and, 4) to estimate niche overlap among the species.

r-ethnobotanyr 0.1.9
Propagated dependencies: r-reshape2@1.4.5 r-magrittr@2.0.4 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-ggalluvial@0.12.5 r-dplyr@1.1.4 r-cowplot@1.2.0 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://CRAN.R-project.org/package=ethnobotanyR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Calculate Quantitative Ethnobotany Indices
Description:

An implementation of the quantitative ethnobotany indices in R. The goal is to provide an easy-to-use platform for ethnobotanists to assess the cultural significance of plant species based on informant consensus. The package closely follows the paper by Tardio and Pardo-de-Santayana (2008). Tardio, J., and M. Pardo-de-Santayana, 2008. Cultural Importance Indices: A Comparative Analysis Based on the Useful Wild Plants of Southern Cantabria (Northern Spain) 1. Economic Botany, 62(1), 24-39. <doi:10.1007/s12231-007-9004-5>.

r-earlygating 1.1
Propagated dependencies: r-foreach@1.5.2 r-doparallel@1.0.17 r-betareg@3.2-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=earlygating
Licenses: GPL 3
Build system: r
Synopsis: Properties of Bayesian Early Gating Designs
Description:

Computes the most important properties of four Bayesian early gating designs (two single arm and two randomized controlled designs), such as minimum required number of successes in the experimental group to make a GO decision, operating characteristics and average operating characteristics with respect to the sample size. These might aid in deciding what design to use for the early phase trial.

r-edear 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-shinytime@1.0.3 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-purrr@1.2.0 r-miniui@0.1.2 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-hms@1.1.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5 r-bupar@1.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://bupar.net/
Licenses: Expat
Build system: r
Synopsis: Exploratory and Descriptive Event-Based Data Analysis
Description:

Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package bupaR'.

r-ei 1.3-3
Propagated dependencies: r-ucminf@1.2.2 r-tmvtnorm@1.7 r-sp@2.2-0 r-plotrix@3.8-13 r-mvtnorm@1.3-3 r-msm@1.8.2 r-mnormt@2.1.1 r-mass@7.3-65 r-foreach@1.5.2 r-ellipse@0.5.0 r-eipack@0.2-2 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: http://gking.harvard.edu/eiR
Licenses: GPL 2+
Build system: r
Synopsis: Ecological Inference
Description:

Software accompanying Gary King's book: A Solution to the Ecological Inference Problem. (1997). Princeton University Press. ISBN 978-0691012407.

r-energyonlinecpm 1.0
Propagated dependencies: r-mass@7.3-65 r-energy@1.7-12
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://sites.google.com/site/EnergyOnlineCPM/
Licenses: GPL 3+
Build system: r
Synopsis: Distribution Free Multivariate Control Chart Based on Energy Test
Description:

This package provides a function for distribution free control chart based on the change point model, for multivariate statistical process control. The main constituent of the chart is the energy test that focuses on the discrepancy between empirical characteristic functions of two random vectors. This new control chart highlights in three aspects. Firstly, it is distribution free, requiring no knowledge of the random processes. Secondly, this control chart can monitor mean and variance simultaneously. Thirdly it is devised for multivariate time series which is more practical in real data application. Fourthly, it is designed for online detection (Phase II), which is central for real time surveillance of stream data. For more information please refer to O. Okhrin and Y.F. Xu (2017) <https://github.com/YafeiXu/working_paper/raw/master/CPM102.pdf>.

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-ebsc 4.17
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nlme@3.1-168 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-mass@7.3-65 r-brobdingnag@1.2-9
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eBsc
Licenses: GPL 2
Build system: r
Synopsis: "Empirical Bayes Smoothing Splines with Correlated Errors"
Description:

Presents a statistical method that uses a recursive algorithm for signal extraction. The method handles a non-parametric estimation for the correlation of the errors. See "Krivobokova", "Serra", "Rosales" and "Klockmann" (2021) <arXiv:1812.06948> for details.

r-eseis 0.8.1
Propagated dependencies: r-xml@3.99-0.20 r-terra@1.8-86 r-signal@1.8-1 r-shiny@1.11.1 r-rmarkdown@2.30 r-reticulate@1.44.1 r-rcpp@1.1.0 r-minpack-lm@1.2-4 r-matrixstats@1.5.0 r-fftw@1.0-9 r-extradistr@1.10.0 r-colorspace@2.1-2 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eseis
Licenses: GPL 3
Build system: r
Synopsis: Environmental Seismology Toolbox
Description:

Environmental seismology is a scientific field that studies the seismic signals, emitted by Earth surface processes. This package provides all relevant functions to read/write seismic data files, prepare, analyse and visualise seismic data, and generate reports of the processing history.

r-epitab 0.2.2
Propagated dependencies: r-xml2@1.5.0 r-survival@3.8-3 r-mass@7.3-65 r-knitr@1.50 r-kableextra@1.4.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/stulacy/epitab
Licenses: GPL 2
Build system: r
Synopsis: Flexible Contingency Tables for Epidemiology
Description:

Builds contingency tables that cross-tabulate multiple categorical variables and also calculates various summary measures. Export to a variety of formats is supported, including: HTML', LaTeX', and Excel'.

r-eava 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EAVA
Licenses: GPL 2
Build system: r
Synopsis: Deterministic Verbal Autopsy Coding with Expert Algorithm Verbal Autopsy
Description:

Expert Algorithm Verbal Autopsy assigns causes of death to 2016 WHO Verbal Autopsy Questionnaire data. odk2EAVA() converts data to a standard input format for cause of death determination building on the work of Thomas (2021) <https://cran.r-project.org/src/contrib/Archive/CrossVA/>. codEAVA() uses the presence and absence of signs and symptoms reported in the Verbal Autopsy interview to diagnose common causes of death. A deterministic algorithm assigns a single cause of death to each Verbal Autopsy interview record using a hierarchy of all common causes for neonates or children 1 to 59 months of age.

r-explodelayout 0.1.3
Propagated dependencies: 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=ExplodeLayout
Licenses: Expat
Build system: r
Synopsis: Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership
Description:

Current layout algorithms such as Kamada Kawai do not take into consideration disjoint clusters in a network, often resulting in a high overlap among the clusters, resulting in a visual â hairballâ that often is uninterpretable. The ExplodeLayout algorithm takes as input (1) an edge list of a unipartite or bipartite network, (2) node layout coordinates (x, y) generated by a layout algorithm such as Kamada Kawai, (3) node cluster membership generated from a clustering algorithm such as modularity maximization, and (4) a radius to enable the node clusters to be â explodedâ to reduce their overlap. The algorithm uses these inputs to generate new layout coordinates of the nodes which â explodesâ the clusters apart, such that the edge lengths within the clusters are preserved, while the edge lengths between clusters are recalculated. The modified network layout with nodes and edges are displayed in two dimensions. The user can experiment with different explode radii to generate a layout which has sufficient separation of clusters, while reducing the overall layout size of the network. This package is a basic version of an earlier version called [epl]<https://github.com/UTMB-DIVA-Lab/epl> that searched for an optimal explode radius, and offered multiple ways to separate clusters in a network (Bhavnani et al(2017) <https://pmc.ncbi.nlm.nih.gov/articles/PMC5543384/>). The example dataset is for a bipartite network, but the algorithm can work also for unipartite networks.

r-estcrm 1.6
Propagated dependencies: r-lattice@0.22-7 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cengiz.me/
Licenses: GPL 2+
Build system: r
Synopsis: Calibrating Parameters for the Samejima's Continuous IRT Model
Description:

Estimates item and person parameters for the Continuous Response Model (CRM; Samejima, 1973, <doi:10.1007/BF02291114>), computes item fit residual statistics, draws empirical 3D item category response curves, draws theoretical 3D item category response curves, and generates data under the CRM for simulation studies.

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-efa-dimensions 0.1.8.6
Propagated dependencies: r-psych@2.5.6 r-polycor@0.8-1 r-mirt@1.45.1 r-gparotation@2025.3-1 r-efatools@0.6.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EFA.dimensions
Licenses: GPL 2+
Build system: r
Synopsis: Exploratory Factor Analysis Functions for Assessing Dimensionality
Description:

This package provides functions for eleven procedures for determining the number of factors, including functions for parallel analysis and the minimum average partial test. There are also functions for conducting principal components analysis, principal axis factor analysis, maximum likelihood factor analysis, image factor analysis, and extension factor analysis, all of which can take raw data or correlation matrices as input and with options for conducting the analyses using Pearson correlations, Kendall correlations, Spearman correlations, gamma correlations, or polychoric correlations. Varimax rotation, promax rotation, and Procrustes rotations can be performed. Additional functions focus on the factorability of a correlation matrix, the congruences between factors from different datasets, the assessment of local independence, the assessment of factor solution complexity, internal consistency, and for correcting Pearson correlation coefficients for attenuation due to unreliability. Auerswald & Moshagen (2019, ISSN:1939-1463); Field, Miles, & Field (2012, ISBN:978-1-4462-0045-2); Mulaik (2010, ISBN:978-1-4200-9981-2); O'Connor (2000, <doi:10.3758/bf03200807>); O'Connor (2001, ISSN:0146-6216).

r-ecohydmod 1.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=Ecohydmod
Licenses: GPL 2
Build system: r
Synopsis: Ecohydrological Modelling
Description:

Simulates the soil water balance (soil moisture, evapotranspiration, leakage and runoff), rainfall series by using the marked Poisson process and the vegetation growth through the normalized difference vegetation index (NDVI). Please see Souza et al. (2016) <doi:10.1002/hyp.10953>.

r-entropart 1.6-16
Dependencies: pandoc@2.19.2
Propagated dependencies: r-vegan@2.7-2 r-tibble@3.3.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-entropyestimation@1.2.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://ericmarcon.github.io/entropart/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Entropy Partitioning to Measure Diversity
Description:

Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. entropart provides functions to calculate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity. Estimation-bias corrections are available.

r-ezgp 0.1.0
Propagated dependencies: r-nloptr@2.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EzGP
Licenses: GPL 2
Build system: r
Synopsis: Easy-to-Interpret Gaussian Process Models for Computer Experiments
Description:

Fit model for datasets with easy-to-interpret Gaussian process modeling, predict responses for new inputs. The input variables of the datasets can be quantitative, qualitative/categorical or mixed. The output variable of the datasets is a scalar (quantitative). The optimization of the likelihood function can be chosen by the users (see the documentation of EzGP_fit()). The modeling method is published in "EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors" by Qian Xiao, Abhyuday Mandal, C. Devon Lin, and Xinwei Deng (2022) <doi:10.1137/19M1288462>.

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