Phase I clinical trials are the first step in drug development to test
    a new drug or drug combination on humans. Typical designs of Phase I 
    trials use toxicity as the primary endpoint and aim to find the maximum 
    tolerable dosage. However, these designs are poorly applicable for the 
    development of cancer therapeutic vaccines because the expected safety 
    concerns for these vaccines are not as much as cytotoxic agents. The 
    primary objectives of a cancer therapeutic vaccine phase I trial thus 
    often include determining whether the vaccine shows biologic activity 
    and the minimum dose necessary to achieve a full immune or even clinical 
    response. This package implements a Bayesian Phase I cancer vaccine
    trial design that allows simultaneous evaluation of safety and
    immunogenicity outcomes. See Wang et al. (2019) <DOI:10.1002/sim.8021>
    for further details.

Performs modeling and forecasting of park visitor counts
	using social media data and (partial) on-site visitor counts.
	Specifically, the model is built based on an automatic decomposition
	of the trend and seasonal components of the social media-based park visitor counts,
	from which short-term forecasts of the visitor counts and percent changes
	in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at 
    'Russell Goebel', Austin Schmaltz, 'Beth Ann Brackett', Spencer A. Wood, 'Kimihiro Noguchi' (2023) <doi:10.1002/for.2965> .

Provides a suite of analytical functionalities to process and analyze
    visual meteor observations from the Visual Meteor Database
    of the International Meteor Organization <https://www.imo.net/>.

Provides an R interface to the 'vis.js' JavaScript charting
    library. It allows an interactive visualization of networks.

Provides methods to transform omop_result objects into
    formatted tables and figures, facilitating the visualization of study
    results working with the Observational Medical Outcomes Partnership
    (OMOP) Common Data Model.