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Web Application Framework for R
Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Epimed Solutions Collection for Data Editing, Analysis, and Benchmark of Health Units
Collection of functions related to benchmark with prediction models for data analysis and editing of clinical and epidemiological data.
Compare Provenance Collections to Explain Changed Script Outputs
Inspects provenance collected by the 'rdt' or 'rdtLite' packages,
or other tools providing compatible PROV JSON output created by
the execution of a script, and find differences between two provenance
collections. Factors under examination included the hardware and
software used to execute the script, versions of attached libraries,
use of global variables, modified inputs and outputs, and changes
in main and sourced scripts. Based on detected changes, 'provExplainR'
can be used to study how these factors affect the behavior of
the script and generate a promising diagnosis of the causes of different
script results. More information about 'rdtLite' and associated tools is available
at < https://github.com/End-to-end-provenance/> and Barbara Lerner,
Emery Boose, and Luis Perez (2018), Using Introspection to Collect
Provenance in R, Informatics,
Object Pooling
Enables the creation of object pools, which make it less computationally expensive to fetch a new object. Currently the only supported pooled objects are 'DBI' connections.
Flexible Data Simulation Using the Multivariate Normal Distribution
This R package can be used to generate artificial data conditionally on pre-specified (simulated or user-defined) relationships between the variables and/or observations. Each observation is drawn from a multivariate Normal distribution where the mean vector and covariance matrix reflect the desired relationships. Outputs can be used to evaluate the performances of variable selection, graphical modelling, or clustering approaches by comparing the true and estimated structures (B Bodinier et al (2021)
Stability-enHanced Approaches using Resampling Procedures
In stability selection (N Meinshausen, P Bühlmann (2010)
Datasets for Agresti and Finlay's "Statistical Methods for the Social Sciences"
Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by Alan Agresti and Barbara Finlay.
Load Test Shiny Applications
Assesses the number of concurrent users 'shiny' applications are capable of supporting, and for directing application changes in order to support a higher number of users. Provides facilities for recording 'shiny' application sessions, playing recorded sessions against a target server at load, and analyzing the resulting metrics.
Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution
Provides a set of functions to implement decision-making systems
based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment),
Chakraborty and Zavadskas (2012)
Create Dashboards with 'Shiny'
Create dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.