_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-efm 1.3.0
Propagated dependencies: r-sopc@0.1.0 r-matrixcalc@1.0-6 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=EFM
Licenses: Expat
Build system: r
Synopsis: Elliptical Factor Models
Description:

The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

r-eviewsr 0.1.7
Propagated dependencies: r-zoo@1.8-15 r-xts@0.14.2 r-rdpack@2.6.6 r-magrittr@2.0.5 r-knitr@1.51
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://CRAN.R-project.org/package=EviewsR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Seamless Integration of 'EViews' and R
Description:

It allows running EViews (<https://eviews.com>) program from R, R Markdown and Quarto documents. EViews (Econometric Views) is a statistical software for Econometric analysis. This package integrates EViews and R and also serves as an EViews Knit-Engine for knitr package. Write all your EViews commands in R, R Markdown or Quarto documents. For details, please consult our peer-review article Mati S., Civcir I. and Abba S.I (2023) <doi:10.32614/RJ-2023-045>.

r-eatdb 0.5.0
Propagated dependencies: r-rsqlite@3.52.0 r-dbi@1.3.0
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-ebgenotyping 2.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ebGenotyping
Licenses: GPL 2
Build system: r
Synopsis: Genotyping and SNP Detection using Next Generation Sequencing Data
Description:

Genotyping the population using next generation sequencing data is essentially important for the rare variant detection. In order to distinguish the genomic structural variation from sequencing error, we propose a statistical model which involves the genotype effect through a latent variable to depict the distribution of non-reference allele frequency data among different samples and different genome loci, while decomposing the sequencing error into sample effect and positional effect. An ECM algorithm is implemented to estimate the model parameters, and then the genotypes and SNPs are inferred based on the empirical Bayes method.

r-ebmaforecast 1.0.33
Propagated dependencies: r-separationplot@1.4 r-rcpp@1.1.1-1.1 r-plyr@1.8.9 r-hmisc@5.2-5 r-gtools@3.9.5 r-glue@1.8.1 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-euclimatch 1.0.2
Propagated dependencies: r-terra@1.9-27 r-rcppparallel@5.1.11-2 r-rcpp@1.1.1-1.1 r-rcolorbrewer@1.1-3 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=Euclimatch
Licenses: GPL 3+
Build system: r
Synopsis: Euclidean Climatch Algorithm
Description:

An interface for performing climate matching using the Euclidean "Climatch" algorithm. Functions provide a vector of climatch scores (0-10) for each location (i.e., grid cell) within the recipient region, the percent of climatch scores >= a threshold value, and mean climatch score. Tools for parallelization and visualizations are also provided. Note that the floor function that rounds the climatch score down to the nearest integer has been removed in this implementation and the â Climatchâ algorithm, also referred to as the â Climateâ algorithm, is described in: Crombie, J., Brown, L., Lizzio, J., & Hood, G. (2008). â Climatch user manualâ . The method for the percent score is described in: Howeth, J.G., Gantz, C.A., Angermeier, P.L., Frimpong, E.A., Hoff, M.H., Keller, R.P., Mandrak, N.E., Marchetti, M.P., Olden, J.D., Romagosa, C.M., and Lodge, D.M. (2016). <doi:10.1111/ddi.12391>.

r-ecan 0.2.2
Propagated dependencies: r-vegan@2.7-3 r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-purrr@1.2.2 r-mass@7.3-65 r-magrittr@2.0.5 r-labdsv@2.3-1 r-jsonlite@2.0.0 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-dendextend@1.19.1 r-cluster@2.1.8.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/matutosi/ecan
Licenses: Expat
Build system: r
Synopsis: Ecological Analysis and Visualization
Description:

Support ecological analyses such as ordination and clustering. Contains consistent and easy wrapper functions of stat', vegan', and labdsv packages, and visualisation functions of ordination and clustering.

r-elliplot 1.3.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=elliplot
Licenses: Expat
Build system: r
Synopsis: Ellipse Summary Plot of Quantiles
Description:

Correlation chart of two set (x and y) of data. Using Quantiles. Visualize the effect of factor.

r-ebdbnet 1.2.8
Propagated dependencies: r-igraph@2.3.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/andreamrau/ebdbNet
Licenses: GPL 3+
Build system: r
Synopsis: Empirical Bayes Estimation of Dynamic Bayesian Networks
Description:

Infer the adjacency matrix of a network from time course data using an empirical Bayes estimation procedure based on Dynamic Bayesian Networks.

r-ewascaller 0.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.8 r-ggwordcloud@0.6.2 r-ggplot2@4.0.3 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/SAADAT-Abu/EWAScaller
Licenses: Expat
Build system: r
Synopsis: Query and Analyse the 'EWAS Atlas' Database
Description:

This package provides a client for the EWAS Atlas web services (<https://ngdc.cncb.ac.cn/ewas/>; Li et al. (2019) <doi:10.1093/nar/gky1027>), allowing users to query epigenome-wide association study (EWAS) data by CpG (cytosine-phosphate-guanine) probe identifier, gene symbol, or genomic region, and to run trait, Gene Ontology, KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway, and genomic location enrichment analyses on a set of CpG probes. Query functions support concurrent, rate-limited requests to the remote service. Results are returned as tidy data frames with dedicated summary and plotting methods, including word clouds of enriched EWAS Atlas trait terms.

r-egm 0.2.0
Propagated dependencies: r-xml2@1.5.2 r-vctrs@0.7.3 r-stringr@1.6.0 r-signal@1.8-1 r-rlang@1.2.0 r-ggplot2@4.0.3 r-fs@2.1.0 r-data-table@1.18.4 r-cpp11@0.5.5 r-checkmate@2.3.4 r-base64enc@0.1-6
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-edecob 1.2.2
Propagated dependencies: r-rlang@1.2.0 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=edecob
Licenses: Expat
Build system: r
Synopsis: Event Detection Using Confidence Bounds
Description:

Detects sustained change in digital bio-marker data using simultaneous confidence bands. Accounts for noise using an auto-regressive model. Based on Buehlmann (1998) "Sieve bootstrap for smoothing in nonstationary time series" <doi:10.1214/aos/1030563978>.

r-ern 2.1.2
Propagated dependencies: r-zoo@1.8-15 r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-runjags@2.2.2-5 r-rjags@4-17 r-patchwork@1.3.2 r-lubridate@1.9.5 r-ggplot2@4.0.3 r-epiestim@2.2-5 r-dplyr@1.2.1 r-coda@0.19-4.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ern
Licenses: Expat
Build system: r
Synopsis: Effective Reproduction Number Estimation
Description:

Estimate the effective reproduction number from wastewater and clinical data sources.

r-eiit 0.0.2-1
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=eiIT
Licenses: GPL 2+
Build system: r
Synopsis: Ecological Inference via Information Theory
Description:

Estimates RxC transfer matrices from aggregated marginal data using a two-stage (GME+IPF; Generalized Maximum Entropy and Iterative Proportional Fitting) information-theoretic approach within a two-step (global+local) estimation procedure. The resulting matrices are consistent with observed row and column marginals across collections of subtables (e.g. precincts, polling stations, or districts). References: Golan, A., Judge, G., & Miller, D. (1996). Maximum Entropy Econometrics: Robust Estimation with Limited Data. Wiley. Judge, G., Miller, D.J., & Cho, W.K.T. (2004). "An information theoretic approach to ecological estimation and inference". In G. King, O. Rosen, & M. A. Tanner (Eds.), Ecological Inference: New Methodological Strategies (pp. 162â 187). Cambridge University Press. Mittelhammer, R., Judge, G., & Miller, D. (2000). Econometric Foundations. Cambridge University Press. Pavia, J.M. (2023) <doi:10.1007/s43545-023-00658-y> Acknowledgements: The author wish to thank Conselleria de Economia, Hacienda y Administracion Publica (grant CIACIO/2023/031) for supporting this research.

r-ergmargins 1.6.2
Propagated dependencies: r-sna@2.8 r-sampling@2.11 r-numderiv@2016.8-1.1 r-network@1.20.0 r-matrix@1.7-5 r-ergm@4.12.0 r-dplyr@1.2.1 r-btergm@1.11.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ergMargins
Licenses: GPL 2+
Build system: r
Synopsis: Process Analysis for Exponential Random Graph Models
Description:

Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.

r-epiparameterdb 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/epiverse-trace/epiparameterDB/
Licenses: CC0
Build system: r
Synopsis: Database of Epidemiological Parameters
Description:

This package provides a data package containing a database of epidemiological parameters. It stores the data for the epiparameter R package. Epidemiological parameter estimates are extracted from the literature.

r-evolvability 2.0.1
Propagated dependencies: r-matrix@1.7-5 r-lme4@2.0-1 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=evolvability
Licenses: GPL 2+
Build system: r
Synopsis: Calculation of Evolvability Parameters
Description:

This package provides tools for calculating evolvability parameters from estimated G-matrices as defined in Hansen and Houle (2008) <doi:10.1111/j.1420-9101.2008.01573.x> and fits phylogenetic comparative models that link the rate of evolution of a trait to the state of another evolving trait (see Hansen et al. 2021 Systematic Biology <doi:10.1093/sysbio/syab079>). The package was released with Bolstad et al. (2014) <doi:10.1098/rstb.2013.0255>, which contains some examples of use.

r-elo 3.0.2
Propagated dependencies: r-rcpp@1.1.1-1.1 r-proc@1.19.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/eheinzen/elo
Licenses: GPL 2+
Build system: r
Synopsis: Ranking Teams by Elo Rating and Comparable Methods
Description:

This package provides a flexible framework for calculating Elo ratings and resulting rankings of any two-team-per-matchup system (chess, sports leagues, Go', etc.). This implementation is capable of evaluating a variety of matchups, Elo rating updates, and win probabilities, all based on the basic Elo rating system. It also includes methods to benchmark performance, including logistic regression and Markov chain models.

r-equil2 1.1.0
Propagated dependencies: r-units@1.0-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://billdenney.github.io/equil2/
Licenses: Expat
Build system: r
Synopsis: Calculate Urinary Saturation with the EQUIL2 Algorithm
Description:

Saturation of ionic substances in urine is calculated based on sodium, potassium, calcium, magnesium, ammonia, chloride, phosphate, sulfate, oxalate, citrate, ph, and urate. This program is intended for research use, only. The code within is translated from EQUIL2 Visual Basic code based on Werness, et al (1985) "EQUIL2: a BASIC computer program for the calculation of urinary saturation" <doi:10.1016/s0022-5347(17)47703-2> to R. The Visual Basic code was kindly provided by Dr. John Lieske of the Mayo Clinic.

r-export 0.3.3
Propagated dependencies: r-xtable@1.8-8 r-xml2@1.5.2 r-stargazer@5.2.3 r-rvg@0.4.2 r-openxlsx@4.2.8.1 r-officer@0.7.5 r-flextable@0.9.11 r-devemf@4.6 r-broom@1.0.13
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=export
Licenses: GPL 2
Build system: r
Synopsis: Streamlined Export of Graphs and Data Tables
Description:

Easily export R graphs and statistical output to Microsoft Office / LibreOffice', Latex and HTML Documents, using sensible defaults that result in publication-quality output with simple, straightforward commands. Output to Microsoft Office is in editable DrawingML vector format for graphs, and can use corporate template documents for styling. This enables the production of standardized reports and also allows for manual tidy-up of the layout of R graphs in Powerpoint before final publication. Export of graphs is flexible, and functions enable the currently showing R graph or the currently showing R stats object to be exported, but also allow the graphical or tabular output to be passed as objects. The package relies on package officer for export to Office documents,and output files are also fully compatible with LibreOffice'. Base R', ggplot2 and lattice plots are supported, as well as a wide variety of R stats objects, via wrappers to xtable(), broom::tidy() and stargazer(), including aov(), lm(), glm(), lme(), glmnet() and coxph() as well as matrices and data frames and many more...

r-epiflows 0.2.2
Propagated dependencies: r-visnetwork@2.1.4 r-tibble@3.3.1 r-sp@2.2-1 r-leaflet@2.2.3 r-htmltools@0.5.9 r-ggplot2@4.0.3 r-ggmap@4.0.2 r-geosphere@1.6-8 r-epicontacts@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://www.repidemicsconsortium.org/epiflows/
Licenses: Expat
Build system: r
Synopsis: Predicting Disease Spread from Flow Data
Description:

This package provides functions and classes designed to handle and visualise epidemiological flows between locations. Also contains a statistical method for predicting disease spread from flow data initially described in Dorigatti et al. (2017) <doi:10.2807/1560-7917.ES.2017.22.28.30572>. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

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-egor 1.25.10
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.2 r-tidygraph@1.3.1 r-tibble@3.3.1 r-srvyr@1.3.1 r-rlang@1.2.0 r-purrr@1.2.2 r-pillar@1.11.1 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/tilltnet/egor
Licenses: AGPL 3
Build system: r
Synopsis: Import and Analyse Ego-Centered Network Data
Description:

This package provides tools for importing, analyzing and visualizing ego-centered network data. Supports several data formats, including the export formats of EgoNet', EgoWeb 2.0 and openeddi'. An interactive (shiny) app for the intuitive visualization of ego-centered networks is provided. Also included are procedures for creating and visualizing Clustered Graphs (Lerner 2008 <DOI:10.1109/PACIFICVIS.2008.4475458>).

r-epo 0.1.0
Propagated dependencies: r-xts@0.14.2 r-rlang@1.2.0 r-dplyr@1.2.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/Reckziegel/epo
Licenses: Expat
Build system: r
Synopsis: Enhanced Portfolio Optimization (EPO)
Description:

This package implements the Enhanced Portfolio Optimization (EPO) method as described in Pedersen, Babu and Levine (2021) <doi:10.2139/ssrn.3530390>.

Total packages: 73977