A Pharmacometrics Data Transformation and Analysis Tool
Fetch ruminate State
Determines Default Column Name
Initialize NCA Module State
Loads Pre-Defined Scenario
Applies Route Mapping to Dataset
Builds Dose Records Dataframe
Creates Figures of Individual Observations from PKNCA Result
Creates Tables of Individual Observations from PKNCA Result
Create Tabular Output from PKNCA Results
Adds Analysis Interval to Current Analysis
Append Report Elements
Builds NCA Code from ui Elements
Fetch Analysis Dataset
Fetches NCA Parameter Meta Information
Fetch PKNCA Results Object
Fetch Module Code
Fetches Current Analysis
Fetches the Current Analysis Object
Fetches Details About Data Requirements
Fetch Module Datasets
Fetches PKNCA Metadata
Fetch PKNCA Results Object
Initialize New Analysis
Processes Current Analysis to be Run
Fetch Non-Compartmental Analysis State
Sets Current Analysis
Populate Session Data for Module Testing
ruminate: Shiny app and module to facilitate pharamacometrics analysis
Checks ruminate Dependencies
Runs NCA for the Current Analysis
Exploration of pharmacometrics data involves both general tools (transformation and plotting) and specific techniques (non-compartmental analysis). This kind of exploration is generally accomplished by utilizing different packages. The purpose of 'ruminate' is to create a 'shiny' interface to make these tools more broadly available while creating reproducible results.