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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-enmsdmx 1.2.12
Propagated dependencies: r-terra@1.8-86 r-statisfactory@1.0.4 r-sp@2.2-0 r-shiny@1.11.1 r-sf@1.0-23 r-scales@1.4.0 r-rjava@1.0-11 r-ranger@0.17.0 r-predicts@0.1-19 r-omnibus@1.2.15 r-mgcv@1.9-4 r-maxnet@0.1.4 r-ks@1.15.1 r-ggplot2@4.0.1 r-gbm@2.2.2 r-foreach@1.5.2 r-dt@0.34.0 r-doparallel@1.0.17 r-data-table@1.17.8 r-cowplot@1.2.0 r-boot@1.3-32 r-aiccmodavg@2.3-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/adamlilith/enmSdmX
Licenses: Expat
Build system: r
Synopsis: Species Distribution Modeling and Ecological Niche Modeling
Description:

This package implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with PROJ6 geodetic objects and coordinate reference systems.

r-epigrowthfit 0.15.4
Propagated dependencies: r-tmb@1.9.18 r-rcppeigen@0.3.4.0.2 r-nlme@3.1-168 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/davidearn/epigrowthfit
Licenses: GPL 3
Build system: r
Synopsis: Nonlinear Mixed Effects Models of Epidemic Growth
Description:

Maximum likelihood estimation of nonlinear mixed effects models of epidemic growth using Template Model Builder ('TMB'). Enables joint estimation for collections of disease incidence time series, including time series that describe multiple epidemic waves. Supports a set of widely used phenomenological models: exponential, logistic, Richards (generalized logistic), subexponential, and Gompertz. Provides methods for interrogating model objects and several auxiliary functions, including one for computing basic reproduction numbers from fitted values of the initial exponential growth rate. Preliminary versions of this software were applied in Ma et al. (2014) <doi:10.1007/s11538-013-9918-2> and in Earn et al. (2020) <doi:10.1073/pnas.2004904117>.

r-easyr 0.5-11
Propagated dependencies: r-xml@3.99-0.20 r-stringr@1.6.0 r-rprojroot@2.1.1 r-rlang@1.1.6 r-readxl@1.4.5 r-lubridate@1.9.4 r-hmisc@5.2-4 r-glue@1.8.0 r-foreign@0.8-90 r-dplyr@1.1.4 r-digest@0.6.39 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/oliver-wyman-actuarial/easyr
Licenses: GPL 2+
Build system: r
Synopsis: Helpful Functions from Oliver Wyman Actuarial Consulting
Description:

Makes difficult operations easy. Includes these types of functions: shorthand, type conversion, data wrangling, and work flow. Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors. Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.

r-expar 0.1.0
Propagated dependencies: 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=EXPAR
Licenses: GPL 3
Build system: r
Synopsis: Fitting of Exponential Autoregressive (EXPAR) Model
Description:

The amplitude-dependent exponential autoregressive (EXPAR) time series model, initially proposed by Haggan and Ozaki (1981) <doi:10.2307/2335819> has been implemented in this package. Throughout various studies, the model has been found to adequately capture the cyclical nature of datasets. Parameter estimation of such family of models has been tackled by the approach of minimizing the residual sum of squares (RSS). Model selection among various candidate orders has been implemented using various information criteria, viz., Akaike information criteria (AIC), corrected Akaike information criteria (AICc) and Bayesian information criteria (BIC). An illustration utilizing data of egg price indices has also been provided.

r-ecb 0.4.3
Propagated dependencies: r-xml2@1.5.0 r-rsdmx@0.6-5 r-httr@1.4.7 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/expersso/ecb
Licenses: CC0
Build system: r
Synopsis: Programmatic Access to the European Central Bank's Data Portal
Description:

This package provides an interface to the European Central Bank's Data Portal API, allowing for programmatic retrieval of a vast quantity of statistical data.

r-epilps 1.3.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-epiestim@2.2-5 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: <https://epilps.com/>
Licenses: GPL 3
Build system: r
Synopsis: Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters
Description:

Estimation of epidemiological parameters with Laplacian-P-splines following the methodology of Gressani et al. (2022) <doi:10.1371/journal.pcbi.1010618>.

r-electionsbr 0.5.0
Propagated dependencies: r-readr@2.1.6 r-magrittr@2.0.4 r-httr@1.4.7 r-haven@2.5.5 r-dplyr@1.1.4 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://electionsbr.com/novo/
Licenses: GPL 2+
Build system: r
Synopsis: R Functions to Download and Clean Brazilian Electoral Data
Description:

Offers a set of functions to easily download and clean Brazilian electoral data from the Superior Electoral Court and CepespData websites. Among other features, the package retrieves data on local and federal elections for all positions (city councilor, mayor, state deputy, federal deputy, governor, and president) aggregated by state, city, and electoral zones.

r-ewp 0.1.2
Propagated dependencies: r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ewp
Licenses: Expat
Build system: r
Synopsis: An Empirical Model for Underdispersed Count Data
Description:

Count regression models for underdispersed small counts (lambda < 20) based on the three-parameter exponentially weighted Poisson distribution of Ridout & Besbeas (2004) <DOI:10.1191/1471082X04st064oa>.

r-exuber 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-progress@1.2.3 r-lubridate@1.9.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-generics@0.1.4 r-foreach@1.5.2 r-dplyr@1.1.4 r-dosnow@1.0.20 r-dorng@1.8.6.2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://kvasilopoulos.github.io/exuber/
Licenses: GPL 3
Build system: r
Synopsis: Econometric Analysis of Explosive Time Series
Description:

Testing for and dating periods of explosive dynamics (exuberance) in time series using the univariate and panel recursive unit root tests proposed by Phillips et al. (2015) <doi:10.1111/iere.12132> and Pavlidis et al. (2016) <doi:10.1007/s11146-015-9531-2>.The recursive least-squares algorithm utilizes the matrix inversion lemma to avoid matrix inversion which results in significant speed improvements. Simulation of a variety of periodically-collapsing bubble processes. Details can be found in Vasilopoulos et al. (2022) <doi:10.18637/jss.v103.i10>.

r-eefanalytics 1.1.5
Propagated dependencies: r-r2jags@0.8-9 r-mvtnorm@1.3-3 r-mcmcvis@0.16.5 r-lme4@1.1-37 r-ggplot2@4.0.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eefAnalytics
Licenses: AGPL 3+
Build system: r
Synopsis: Robust Analytical Methods for Evaluating Educational Interventions using Randomised Controlled Trials Designs
Description:

Analysing data from evaluations of educational interventions using a randomised controlled trial design. Various analytical tools to perform sensitivity analysis using different methods are supported (e.g. frequentist models with bootstrapping and permutations options, Bayesian models). The included commands can be used for simple randomised trials, cluster randomised trials and multisite trials. The methods can also be used more widely beyond education trials. This package can be used to evaluate other intervention designs using Frequentist and Bayesian multilevel models.

r-estimategroupnetwork 0.3.1
Propagated dependencies: r-qgraph@1.9.8 r-igraph@2.2.1 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=EstimateGroupNetwork
Licenses: GPL 2+
Build system: r
Synopsis: Perform the Joint Graphical Lasso and Selects Tuning Parameters
Description:

Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.

r-edstan 1.1.0
Propagated dependencies: r-rstan@2.32.7 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=edstan
Licenses: Modified BSD
Build system: r
Synopsis: Stan Models for Item Response Theory
Description:

Streamlines the fitting of common Bayesian item response models using Stan.

r-evtree 1.0-8
Propagated dependencies: r-partykit@1.2-24
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=evtree
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Evolutionary Learning of Globally Optimal Trees
Description:

Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over the parameter space of trees is to use global optimization methods like evolutionary algorithms. The evtree package implements an evolutionary algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while the partykit package is leveraged to represent the resulting trees in R, providing unified infrastructure for summaries, visualizations, and predictions.

r-edgar 2.0.8
Propagated dependencies: r-xml@3.99-0.20 r-tm@0.7-16 r-stringr@1.6.0 r-stringi@1.8.7 r-r-utils@2.13.0 r-qdapregex@0.7.10 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=edgar
Licenses: GPL 2
Build system: r
Synopsis: Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate Filings
Description:

In the USA, companies file different forms with the U.S. Securities and Exchange Commission (SEC) through EDGAR (Electronic Data Gathering, Analysis, and Retrieval system). The EDGAR database automated system collects all the different necessary filings and makes it publicly available. This package facilitates retrieving, storing, searching, and parsing of all the available filings on the EDGAR server. It downloads filings from SEC server in bulk with a single query. Additionally, it provides various useful functions: extracts 8-K triggering events, extract "Business (Item 1)" and "Management's Discussion and Analysis(Item 7)" sections of annual statements, searches filings for desired keywords, provides sentiment measures, parses filing header information, and provides HTML view of SEC filings.

r-eventdetectr 0.3.5
Propagated dependencies: r-neuralnet@1.44.2 r-imputets@3.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/frehbach/EventDetectR
Licenses: GPL 3
Build system: r
Synopsis: Event Detection Framework
Description:

Detect events in time-series data. Combines multiple well-known R packages like forecast and neuralnet to deliver an easily configurable tool for multivariate event detection.

r-educabr 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-httr2@1.2.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/SidneyBissoli/educabR
Licenses: Expat
Build system: r
Synopsis: Download and Process Brazilian Education Data from INEP
Description:

Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anà sio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), IDEB (à ndice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.

r-ebm 0.1.0
Propagated dependencies: r-reticulate@1.44.1 r-lattice@0.22-7 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/bgreenwell/ebm
Licenses: Expat
Build system: r
Synopsis: Explainable Boosting Machines
Description:

An interface to the Python InterpretML framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) <doi:10.48550/arXiv.1909.09223> for details. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.

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-equalden-hd 1.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=Equalden.HD
Licenses: GPL 2
Build system: r
Synopsis: Testing the Equality of a High Dimensional Set of Densities
Description:

The equality of a large number k of densities is tested by measuring the L2 distance between the corresponding kernel density estimators and the one based on the pooled sample. The test even works for sample sizes as small as 2.

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-eff2 1.0.2
Propagated dependencies: r-rbgl@1.86.0 r-pcalg@2.7-12 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/richardkwo/eff2
Licenses: Expat
Build system: r
Synopsis: Efficient Least Squares for Total Causal Effects
Description:

Estimate a total causal effect from observational data under linearity and causal sufficiency. The observational data is supposed to be generated from a linear structural equation model (SEM) with independent and additive noise. The underlying causal DAG associated the SEM is required to be known up to a maximally oriented partially directed graph (MPDAG), which is a general class of graphs consisting of both directed and undirected edges, including CPDAGs (i.e., essential graphs) and DAGs. Such graphs are usually obtained with structure learning algorithms with added background knowledge. The program is able to estimate every identified effect, including single and multiple treatment variables. Moreover, the resulting estimate has the minimal asymptotic covariance (and hence shortest confidence intervals) among all estimators that are based on the sample covariance.

r-easyref 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-rvest@1.0.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/rrydbirk/easyRef
Licenses: GPL 3+
Build system: r
Synopsis: Easy Reference Generation for R Packages
Description:

Generate citations and references for R packages from CRAN or Bioconductor. Supports RIS and BibTeX formats with automatic DOI retrieval from GitHub repositories and published papers. Includes command-line interface for batch processing.

r-easydb 1.1.0
Propagated dependencies: r-yaml@2.3.10 r-rlang@1.1.6 r-keyring@1.4.1 r-dbi@1.2.3 r-cli@3.6.5 r-assertthat@0.2.1 r-askpass@1.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/selkamand/easydb
Licenses: Expat
Build system: r
Synopsis: Easily Connect to Common Types of Databases
Description:

This package provides a unified interface for connecting to databases ('SQLite', MySQL', PostgreSQL'). Just provide the database name and the package will ask you questions to help you configure the connection and setup your credentials. Once database configuration and connection has been set up once, you won't have to do it ever again.

r-ecoval 1.2.10
Propagated dependencies: r-utility@1.4.7 r-rivernet@1.2.3 r-jpeg@0.1-11 r-fs@1.6.6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ecoval
Licenses: GPL 3
Build system: r
Synopsis: Procedures for Ecological Assessment of Surface Waters
Description:

This package provides functions for evaluating and visualizing ecological assessment procedures for surface waters containing physical, chemical and biological assessments in the form of value functions.

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