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teal - Exploratory Web Apps for Analyzing Clinical Trials Data

A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.

Last updated

clinical-trialsnestshinywebapp

12.92 score 257 stars 7 dependents 353 scripts 571 downloads

teal.modules.clinical - 'teal' Modules for Standard Clinical Outputs

Provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the 'teal' framework, this package provides 'teal' modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.

Last updated

clinical-trialsmodulesnestoutputsshiny

11.18 score 42 stars 1 dependents 272 scripts 2.8k downloads

teal.data - Data Model for 'teal' Applications

Provides a 'teal_data' class as a unified data model for 'teal' applications focusing on reproducibility and relational data.

Last updated

data-modelnest

10.69 score 11 stars 11 dependents 64 scripts 12k downloads

teal.reporter - Reporting Tools for 'shiny' Modules

Prebuilt 'shiny' modules containing tools for the generation of 'rmarkdown' reports, supporting reproducible research and analysis.

Last updated

nestreportingshiny

10.36 score 9 stars 8 dependents 27 scripts 5.6k downloads

teal.modules.general - General Modules for 'teal' Applications

Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.

Last updated

general-purposemodulesnestshiny

10.10 score 16 stars 176 scripts 392 downloads

teal.widgets - 'shiny' Widgets for 'teal' Applications

Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.

Last updated

nestshinywidgets

9.93 score 6 stars 10 dependents 40 scripts 3.2k downloads

runner - Running Operations for Vectors

Lightweight library for rolling windows operations. Package enables full control over the window length, window lag and a time indices. With a runner one can apply any R function on a rolling windows. The package eases work with equally and unequally spaced time series.

Last updated

cpp

9.80 score 53 stars 6 dependents 239 scripts 1.5k downloads

teal.code - Code Storage and Execution Class for 'teal' Applications

Introduction of 'qenv' S4 class, that facilitates code execution and reproducibility in 'teal' applications.

Last updated

nestshiny

9.66 score 12 stars 12 dependents 16 scripts 3.1k downloads

teal.transform - Functions for Extracting and Merging Data in the 'teal' Framework

A standardized user interface for column selection, that facilitates dataset merging in 'teal' framework.

Last updated

mergemodulesnesttransform

9.30 score 2 stars 5 dependents 20 scripts 10k downloads

teal.slice - Filter Module for 'teal' Applications

Data filtering module for 'teal' applications. Allows for interactive filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects. Also displays filtered and unfiltered observation counts.

Last updated

modulesnestslice

9.00 score 12 stars 8 dependents 6 scripts 672 downloads

teal.logger - Logging Setup for the 'teal' Family of Packages

Utilizing the 'logger' framework to record events within a package, specific to 'teal' family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.

Last updated

loggingnestutilities

7.98 score 7 stars 10 dependents 5 scripts 673 downloads

sport - Sequential Pairwise Online Rating Techniques

Calculates ratings for two-player or multi-player challenges. Methods included in package such as are able to estimate ratings (players strengths) and their evolution in time, also able to predict output of challenge. Algorithms are based on Bayesian Approximation Method, and they don't involve any matrix inversions nor likelihood estimation. Parameters are updated sequentially, and computation doesn't require any additional RAM to make estimation feasible. Additionally, base of the package is written in C++ what makes sport computation even faster. Methods used in the package refer to Mark E. Glickman (1999) <https://www.glicko.net/research/glicko.pdf>; Mark E. Glickman (2001) <doi:10.1080/02664760120059219>; Ruby C. Weng, Chih-Jen Lin (2011) <https://www.jmlr.org/papers/volume12/weng11a/weng11a.pdf>; W. Penny, Stephen J. Roberts (1999) <doi:10.1109/IJCNN.1999.832603>.

Last updated

cpp

6.04 score 25 stars 22 scripts 536 downloads

marimekko - Marimekko Plots for 'ggplot2'

Create marimekko (mosaic) plots as a 'ggplot2' layer. Column widths encode marginal proportions of one categorical variable and segment heights encode conditional proportions of a second categorical variable. Based on the mosaic display method by Hartigan and Kleiner (1981) <doi:10.1007/978-1-4613-9464-8_37>.

Last updated

5.26 score 6 stars 10 scripts 834 downloads

teal.picks - Dataset and Variable Picker and Merge Module for 'teal' Applications

Allows users to interactively select datasets, variables, and values within 'teal' applications using a 'tidyselect'-style interface. Selected picks can be merged and transformed into analysis-ready data within 'teal' modules.

Last updated

3.00 score 6 scripts