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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-ebci 1.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/kolesarm/ebci
Licenses: Expat
Build system: r
Synopsis: Robust Empirical Bayes Confidence Intervals
Description:

Computes empirical Bayes confidence estimators and confidence intervals in a normal means model. The intervals are robust in the sense that they achieve correct coverage regardless of the distribution of the means. If the means are treated as fixed, the intervals have an average coverage guarantee. The implementation is based on Armstrong, Kolesár and Plagborg-Møller (2020) <arXiv:2004.03448>.

r-er 1.1.2
Propagated dependencies: r-scales@1.4.0 r-plsvarsel@0.10.0 r-pls@2.8-5 r-gridextra@2.3 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ER
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Effect + Residual Modelling
Description:

Multivariate modeling of data after deflation of interfering effects. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

r-evt0 1.1.5
Propagated dependencies: r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=evt0
Licenses: GPL 2+
Build system: r
Synopsis: Mean of Order P, Peaks over Random Threshold Hill and High Quantile Estimates
Description:

The R package proposes extreme value index estimators for heavy tailed models by mean of order p <DOI:10.1016/j.csda.2012.07.019>, peaks over random threshold <DOI:10.57805/revstat.v4i3.37> and a bias-reduced estimator <DOI:10.1080/00949655.2010.547196>. The package also computes moment, generalised Hill <DOI:10.2307/3318416> and mixed moment estimates for the extreme value index. High quantiles and value at risk estimators based on these estimators are implemented.

r-eufootball 0.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EUfootball
Licenses: GPL 3+
Build system: r
Synopsis: Football Match Data of European Leagues
Description:

This package contains match results from seven European men's football leagues, namely Premier League (England), Ligue 1 (France), Bundesliga (Germany), Serie A (Italy), Primera Division (Spain), Eredivisie (The Netherlands), Super Lig (Turkey). Includes Seasons 2010/2011 until 2019/2020 and a set of interesting covariates. Can be used all purposes.

r-elec 0.1.2.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=elec
Licenses: GPL 2+
Build system: r
Synopsis: Collection of Functions for Statistical Election Audits
Description:

This is a (somewhat bizarre) collection of functions written to do various sorts of statistical election audits. There are also functions to generate simulated voting data, including methods to simulation different types of voting errors which allow for simulations for checking the characteristics of these methods.

r-envalysis 0.7.0
Propagated dependencies: r-lmtest@0.9-40 r-ggplot2@4.0.1 r-drc@3.0-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/zsteinmetz/envalysis
Licenses: GPL 3+
Build system: r
Synopsis: Miscellaneous Functions for Environmental Analyses
Description:

Small toolbox for data analyses in environmental chemistry and ecotoxicology. Provides, for example, calibration() to calculate calibration curves and corresponding limits of detection (LODs) and limits of quantification (LOQs) according to German DIN 32645 (2008). texture() makes it easy to estimate soil particle size distributions from hydrometer measurements (ASTM D422-63, 2007).

r-etc 1.5
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ETC
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Equivalence to Control
Description:

Treatments of a one-way layout, being equivalent to a control, can be selected with this package. Bonferroni adjusted "two one-sided t-tests" (TOST) and related simultaneous confidence intervals are given for both differences or ratios of means of normally distributed data. For the case of equal variances and balanced sample sizes for the treatment groups, the single-step procedure of Bofinger and Bofinger (1995) <doi:10.1111/j.2517-6161.1995.tb02058.x> can be chosen. For non-normal data, the Wilcoxon test is applied.

r-eientropy 0.0.1.4
Propagated dependencies: 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=EIEntropy
Licenses: GPL 3
Build system: r
Synopsis: Ecological Inference Applying Entropy
Description:

This package implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Dà az-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." <doi:10.1007/s11205-020-02455-z>. Dà az-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." <doi:10.1111/rsp3.12379>.

r-evanverse 0.4.0
Propagated dependencies: r-withr@3.0.2 r-tidyr@1.3.1 r-tictoc@1.2.1 r-tibble@3.3.0 r-rlang@1.1.6 r-readxl@1.4.5 r-pwr@1.3-0 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-fs@1.6.6 r-dplyr@1.1.4 r-data-table@1.17.8 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/evanbio/evanverse
Licenses: Expat
Build system: r
Synopsis: Utility Functions for Data Analysis and Visualization
Description:

This package provides a comprehensive collection of utility functions for data analysis and visualization in R. The package provides 60+ functions for data manipulation, file handling, color palette management, bioinformatics workflows, statistical analysis, plotting, and package management. Features include void value handling, custom infix operators, flexible file I/O, and publication-ready visualizations with sensible defaults. Implementation follows tidyverse principles (Wickham et al. (2019) <doi:10.21105/joss.01686>) and incorporates best practices from the R community.

r-ei-datasets 0.0.1-3
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ei.Datasets
Licenses: FSDG-compatible FSDG-compatible FSDG-compatible
Build system: r
Synopsis: Real Datasets for Assessing Ecological Inference Algorithms
Description:

This package provides more than 550 data sets of actual election results. Each of the data sets includes aggregate party and candidate outcomes at the voting unit (polling stations) level and two-way cross-tabulated results at the district level. These data sets can be used to assess ecological inference algorithms devised for estimating RxC (global) ecological contingency tables using exclusively aggregate results from voting units. Reference: Pavà a (2022) <doi:10.1177/08944393211040808>.

r-ebchs 0.1.1
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 (2022) <doi:10.1080/01621459.2020.1777137>.

r-expandfunctions 0.1.0
Propagated dependencies: r-polynom@1.4-1 r-plyr@1.8.9 r-orthopolynom@1.0-6.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=expandFunctions
Licenses: GPL 2
Build system: r
Synopsis: Feature Matrix Builder
Description:

Generates feature matrix outputs from R object inputs using a variety of expansion functions. The generated feature matrices have applications as inputs for a variety of machine learning algorithms. The expansion functions are based on coercing the input to a matrix, treating the columns as features and converting individual columns or combinations into blocks of columns. Currently these include expansion of columns by efficient sparse embedding by vectors of lags, quadratic expansion into squares and unique products, powers by vectors of degree, vectors of orthogonal polynomials functions, and block random affine projection transformations (RAPTs). The transformations are magrittr- and cbind-friendly, and can be used in a building block fashion. For instance, taking the cos() of the output of the RAPT transformation generates a stationary kernel expansion via Bochner's theorem, and this expansion can then be cbind-ed with other features. Additionally, there are utilities for replacing features, removing rows with NAs, creating matrix samples of a given distribution, a simple wrapper for LASSO with CV, a Freeman-Tukey transform, generalizations of the outer function, matrix size-preserving discrete difference by row, plotting, etc.

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-elfgen 2.3.4
Propagated dependencies: r-testit@0.13 r-stringr@1.6.0 r-sqldf@0.4-11 r-scales@1.4.0 r-sbtools@1.4.1 r-quantreg@6.1 r-nhdplustools@1.4.2 r-ggplot2@4.0.1 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/HARPgroup/elfgen
Licenses: Expat
Build system: r
Synopsis: Ecological Limit Function Model Generation and Analysis Toolkit
Description:

This package provides a toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the elfgen framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).

r-ecotonefinder 0.2.3
Propagated dependencies: r-withr@3.0.2 r-vegclust@2.0.3 r-vegan@2.7-2 r-rmisc@1.5.1 r-rlang@1.1.6 r-reshape@0.8.10 r-qgraph@1.9.8 r-purrr@1.2.0 r-plyr@1.8.9 r-philentropy@0.10.0 r-igraph@2.2.1 r-ggplot2@4.0.1 r-e1071@1.7-16 r-corrplot@0.95 r-colorspace@2.1-2 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EcotoneFinder
Licenses: Expat
Build system: r
Synopsis: Characterising and Locating Ecotones and Communities
Description:

Analytical methods to locate and characterise ecotones, ecosystems and environmental patchiness along ecological gradients. Methods are implemented for isolated sampling or for space/time series. It includes Detrended Correspondence Analysis (Hill & Gauch (1980) <doi:10.1007/BF00048870>), fuzzy clustering (De Cáceres et al. (2010) <doi:10.1080/01621459.1963.10500845>), biodiversity indices (Jost (2006) <doi:10.1111/j.2006.0030-1299.14714.x>), and network analyses (Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>) - as well as tools to explore the number of clusters in the data. Functions to produce synthetic ecological datasets are also provided.

r-ecttdnn 0.1.0
Propagated dependencies: r-vars@1.6-1 r-urca@1.3-4 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ECTTDNN
Licenses: GPL 3
Build system: r
Synopsis: Cointegration Based Timedelay Neural Network Model
Description:

This cointegration based Time Delay Neural Network Model hybrid model allows the researcher to make use of the information extracted by the cointegrating vector as an input in the neural network model.

r-exactcione 1.0.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ExactCIone
Licenses: AGPL 3+
Build system: r
Synopsis: Admissible Exact Intervals for One-Dimensional Discrete Distributions
Description:

Construct the admissible exact intervals for the binomial proportion, the Poisson mean and the total number of subjects with a certain attribute or the total number of the subjects for the hypergeometric distribution. Both one-sided and two-sided intervals are of interest. This package can be used to calculate the intervals constructed methods developed by Wang (2014) <doi:10.5705/ss.2012.257> and Wang (2015) <doi:10.1111/biom.12360>.

r-ensemblebma 5.1.8
Propagated dependencies: r-chron@2.3-62
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ensembleBMA
Licenses: GPL 2+
Build system: r
Synopsis: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging
Description:

Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations <https://stat.uw.edu/sites/default/files/files/reports/2007/tr516.pdf>.

r-esback 0.3.1
Propagated dependencies: r-esreg@0.6.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=esback
Licenses: GPL 3
Build system: r
Synopsis: Expected Shortfall Backtesting
Description:

Implementations of the expected shortfall backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> as well as other well known backtests from the literature. Can be used to assess the correctness of forecasts of the expected shortfall risk measure which is e.g. used in the banking and finance industry for quantifying the market risk of investments. A special feature of the backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> is that they only require forecasts of the expected shortfall, which is in striking contrast to all other existing backtests, making them particularly attractive for practitioners.

r-eyetrackingr 0.2.2
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-lazyeval@0.2.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-broom-mixed@0.2.9.7 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://samforbes.me/eyetrackingR/
Licenses: Expat
Build system: r
Synopsis: Eye-Tracking Data Analysis
Description:

Addresses tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches. For references to the approach see Mirman, Dixon & Magnuson (2008) <doi:10.1016/j.jml.2007.11.006>, and Barr (2008) <doi:10.1016/j.jml.2007.09.002>.

r-evalitr 1.0.0
Propagated dependencies: r-superlearner@2.0-29 r-scales@1.4.0 r-rqpen@4.2 r-rpart@4.1.24 r-rlang@1.1.6 r-quadprog@1.5-8 r-purrr@1.2.0 r-matrix@1.7-4 r-mass@7.3-65 r-haven@2.5.5 r-grf@2.6.1 r-glmnet@4.1-10 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-gbm@2.2.2 r-forcats@1.0.1 r-e1071@1.7-16 r-dplyr@1.1.4 r-cli@3.6.5 r-caret@7.0-1 r-bartcause@1.0-10
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/MichaelLLi/evalITR
Licenses: GPL 2+
Build system: r
Synopsis: Evaluating Individualized Treatment Rules
Description:

This package provides various statistical methods for evaluating Individualized Treatment Rules under randomized data. The provided metrics include Population Average Value (PAV), Population Average Prescription Effect (PAPE), Area Under Prescription Effect Curve (AUPEC). It also provides the tools to analyze Individualized Treatment Rules under budget constraints. Detailed reference in Imai and Li (2019) <arXiv:1905.05389>.

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-empiricalcalibration 3.1.4
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://ohdsi.github.io/EmpiricalCalibration/
Licenses: ASL 2.0
Build system: r
Synopsis: Routines for Performing Empirical Calibration of Observational Study Estimates
Description:

Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account. A similar approach can be used to calibrate confidence intervals, using both negative and positive controls. For more details, see Schuemie et al. (2013) <doi:10.1002/sim.5925> and Schuemie et al. (2018) <doi:10.1073/pnas.1708282114>.

r-etree 0.1.0
Propagated dependencies: r-usedist@0.4.0 r-tda@1.9.4 r-survival@3.8-3 r-partykit@1.2-24 r-networkdistance@0.3.6 r-igraph@2.2.1 r-fda-usc@2.2.0 r-energy@1.7-12 r-cluster@2.1.8.1 r-braingraph@3.1.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/ricgbl/etree
Licenses: GPL 3
Build system: r
Synopsis: Classification and Regression with Structured and Mixed-Type Data
Description:

Implementation of Energy Trees, a statistical model to perform classification and regression with structured and mixed-type data. The model has a similar structure to Conditional Trees, but brings in Energy Statistics to test independence between variables that are possibly structured and of different nature. Currently, the package covers functions and graphs as structured covariates. It builds upon partykit to provide functionalities for fitting, printing, plotting, and predicting with Energy Trees. Energy Trees are described in Giubilei et al. (2022) <arXiv:2207.04430>.

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