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 1 months ago

clinical-trialsnestshinywebapp

12.65 score 206 stars 5 dependents 176 scripts 758 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 1 months ago

clinical-trialsmodulesnestoutputsshiny

10.21 score 35 stars 149 scripts 509 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 2 months ago

data-modelnest

9.86 score 11 stars 8 dependents 44 scripts 578 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 10 hours ago

general-purposemodulesnestshiny

9.74 score 13 stars 71 scripts 315 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 2 months ago

modulesnestslice

9.27 score 11 stars 6 dependents 3 scripts 1.2k 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 2 months ago

nestreportingshiny

9.27 score 8 stars 6 dependents 19 scripts 614 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 1 years ago

cpp

9.11 score 51 stars 4 dependents 212 scripts 2.2k 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 2 months ago

nestshinywidgets

9.05 score 5 stars 8 dependents 34 scripts 587 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 2 months ago

nestshiny

9.03 score 12 stars 9 dependents 11 scripts 778 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 2 months ago

mergemodulesnesttransform

8.39 score 3 stars 4 dependents 9 scripts 534 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 2 months ago

loggingnestutilities

8.24 score 5 stars 8 dependents 3 scripts 786 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 refers to Mark E. Glickman (1999) <http://www.glicko.net/research/glicko.pdf>; Mark E. Glickman (2001) <doi:10.1080/02664760120059219>; Ruby C. Weng, Chih-Jen Lin (2011) <http://jmlr.csail.mit.edu/papers/volume12/weng11a/weng11a.pdf>; W. Penny, Stephen J. Roberts (1999) <doi:10.1109/IJCNN.1999.832603>.

Last updated 5 years ago

cpp

5.78 score 25 stars 24 scripts 269 downloads

ox - Shorthand if-Else

Short hand if-else function to easily switch the values depending on a logical condition.

Last updated 3 years ago

4.60 score 4 stars 6 scripts 178 downloads