Allows the user to draw probabilistic samples and make inferences from a finite population based on several sampling designs.

Can fit neural networks with up to two hidden layer and two different error functions. Also able to handle a weight decay. But just able to compute one output neuron and very slow.

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.

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

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

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.

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.

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.

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

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.

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