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r-badgecreatr
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public |
Tired of copy and pasting almost identical markdown for badges in every new R-package that you create, on Github or other code-sharing sites? This package allows you to easily paste badges. If you want to, it will also search your DESCRIPTION file and extract the package name, license, R-version, and current projectversion and transform that into badges. It will also search for a ".travis.yml" file and create a "Travis"" badge, if you use "Codecov.io" to check your code coverage after a "Travis" build this package will also build a "Codecov.io"-badge. All the badges can be placed individually or can be placed below the top "YAML"" content of your "RMarkdown file" (Readme.Rmd) or "README.md" file. Currently creates badges for Projectstatus ("Repostatus.org"), license Travis Build Status, Codecov, Minimal R version, CRAN status, CRAN downloads, Github stars and forks, Package rank, rdocumentation, current version of your package and last change of "README.Rmd".
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2025-04-22 |
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r-bacprior
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The BACprior package provides an approximate sensitivity analysis of the Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) with regards to the hyperparameter omega. The package also provides functions to guide the user in their choice of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).
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2025-04-22 |
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r-backtest
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The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).
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2025-04-22 |
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r-backpipe
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Provides a backward-pipe operator for 'magrittr' (%<%) or 'pipeR' (%<<%) that allows for a performing operations from right-to-left. This allows writing more legible code where right-to-left ordering is natural. This is common with hierarchies and nested structures such as trees, directories or markup languages (e.g. HTML and XML). The package also includes a R-Studio add-in that can be bound to a keyboard shortcut.
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2025-04-22 |
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r-babar
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Babar is designed to use nested sampling (a Bayesian analysis technique) to compare possible models for bacterial growth curves, as well as extracting parameters. It allows model evidence and parameter likelihood values to be extracted, and also contains helper functions for comparing distributions as well as direct access to the underlying nested sampling code.
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2025-04-22 |
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r-b6e6rl
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This package contains b6e6rl algorithm, adaptive differential evolution for global optimization.
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2025-04-22 |
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r-b2z
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This package fits the Bayesian two-Zone Models.
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2025-04-22 |
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r-aws.signature
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public |
Generates version 2 and version 4 request signatures for Amazon Web Services ('AWS') <https://aws.amazon.com/> Application Programming Interfaces ('APIs') and provides a mechanism for retrieving credentials from environment variables, 'AWS' credentials files, and 'EC2' instance metadata. For use on 'EC2' instances, users will need to install the suggested package 'aws.ec2metadata' <https://cran.r-project.org/package=aws.ec2metadata>.
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2025-04-22 |
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r-awsjavasdk
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public |
Provides boilerplate access to all of the classes included in the Amazon Web Services ('AWS') Java Software Development Kit (SDK) via package:'rJava'. According to Amazon, the 'SDK helps take the complexity out of coding by providing Java APIs for many AWS services including Amazon S3, Amazon EC2, DynamoDB, and more'. You can read more about the included Java code on Amazon's website: <https://aws.amazon.com/sdk-for-java/>.
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2025-04-22 |
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r-aws.ec2metadata
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public |
Retrieve Amazon EC2 instance metadata from within the running instance.
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2025-04-22 |
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r-awr.athena
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'RJDBC' based 'DBI' driver to Amazon Athena, which is an interactive query service to analyze data in Amazon 'S3' using standard 'SQL'.
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2025-04-22 |
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r-awr
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Installs the compiled Java modules of the Amazon Web Services ('AWS') 'SDK' to be used in downstream R packages interacting with 'AWS'. See <https://aws.amazon.com/sdk-for-java> for more information on the 'AWS' 'SDK' for Java.
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2025-04-22 |
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r-aweek
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public |
Which day a week starts depends heavily on the either the local or professional context. This package is designed to be a lightweight solution to easily switching between week-based date definitions.
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2025-04-22 |
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r-averisk
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Average population attributable fractions are calculated for a set of risk factors (either binary or ordinal valued) for both prospective and case- control designs. Confidence intervals are found by Monte Carlo simulation. The method can be applied to either prospective or case control designs, provided an estimate of disease prevalence is provided. In addition to an exact calculation of AF, an approximate calculation, based on randomly sampling permutations has been implemented to ensure the calculation is computationally tractable when the number of risk factors is large.
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2025-04-22 |
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r-autoshiny
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Static code compilation of a 'shiny' app given an R function (into 'ui.R' and 'server.R' files or into a 'shiny' app object). See examples at <https://github.com/alekrutkowski/autoshiny>.
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2025-04-22 |
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r-autoregressionmde
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Consider autoregressive model of order p where the distribution function of innovation is unknown, but innovations are independent and symmetrically distributed. The package contains a function named ARMDE which takes X (vector of n observations) and p (order of the model) as input argument and returns minimum distance estimator of the parameters in the model.
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2025-04-22 |
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r-autopls
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Some convenience functions for pls regression, including backward variable selection and validation procedures, image based predictions and plotting.
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2025-04-22 |
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r-auto.pca
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PCA done by eigenvalue decomposition of a data correlation matrix, here it automatically determines the number of factors by eigenvalue greater than 1 and it gives the uncorrelated variables based on the rotated component scores, Such that in each principal component variable which has the high variance are selected. It will be useful for non-statisticians in selection of variables. For more information, see the <http://www.ijcem.org/papers032013/ijcem_032013_06.pdf> web page.
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2025-04-22 |
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r-automultinomial
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Fits the autologistic model described in Besag's famous 1974 paper on auto- models <http://www.jstor.org/stable/2984812>. Fits a multicategory generalization of the autologistic model when there are more than 2 response categories. Provides support for both asymptotic and bootstrap confidence intervals. For full model descriptions and a guide to the use of this package, please see the vignette.
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2025-04-22 |
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r-automl
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Fits from simple regression to highly customizable deep neural networks either with gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost function. A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.
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2025-04-22 |
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r-autoencoder
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Implementation of the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks.
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2025-04-22 |
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r-autodeskr
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An interface to the 'AutoDesk' 'API' Platform including the Authentication 'API' for obtaining authentication to the 'AutoDesk' Forge Platform, Data Management 'API' for managing data across the platform's cloud services, Design Automation 'API' for performing automated tasks on design files in the cloud, Model Derivative 'API' for translating design files into different formats, sending them to the viewer app, and extracting design data, and Viewer for rendering 2D and 3D models (see <https://developer.autodesk.com> for more information).
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2025-04-22 |
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r-auth0
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Uses Auth0 API (see <https://auth0.com> for more information) to use a simple and secure authentication system. It provides tools to log in and out a shiny application using social networks or a list of e-mails.
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2025-04-22 |
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r-audit
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Two Bayesian methods for Accounting Populations
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2025-04-22 |
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r-aucrf
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Variable selection using Random Forest based on optimizing the area-under-the ROC curve (AUC) of the Random Forest.
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2025-04-22 |
