A Pharmacometrics Data Transformation and Analysis Tool
Applies Route Mapping to Dataset
Add Covariate to Elemetnt
Add Rule to Element
Append Report Elements
Change the Source Model
Deletes Current cohort
Fetch Module Code
Fetches Current cohort
Fetch Clinical Trial Simulator Module Datasets
Fetches Simulation Parameter Meta Information
Fetch Clinical Trial Simulator State
Initializes Cohort When Model Changes
Initialize CTS Module State
Make List of Current CTS State
New Clinical Trial Simulation Cohort
Plots the Specified Element
Preload Data for CTS Module
Clinical Trial Simulator State Server
Sets the Value for the Current cohort
Checks Simulation in Element for Goodness
Simulates the Specified Element
Populate Session Data for Module Testing
Updates CTS Module Checksum
Builds Dose Records Dataframe
Fetches Information from an rxode2 Object
Extracts Timecourse and Merges Covariates
Append Report Elements
Build Code to Generate Model
Deletes Current model
Fetches List of Available Models
Fetches List of Available Models
Fetch Module Code
Fetch Selected Current Model Component
Fetches Current model
Fetch Model Builder Module Models
Fetch Model Builder State
Initialize MB Module State
Make List of Current MB State
New Model Building Model
Preload Data for MB Module
Model Builder State Server
Sets the Value for the Current model
Tests the Model Catalog
Populate Session Data for Module Testing
Update MB Module Checksum
Updates Current Element with rxode2 Model
Creates Figures of Individual Observations from PKNCA Result
Makes an rxode2 Object
Fetches Information from an rxode2 Object
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
Fetch PKNCA Results Object
Fetch Module Code
Fetches Current Analysis
Fetches the Current Analysis Object
Fetches Details About Data Requirements
Fetch Module Datasets
Fetches NCA Parameter Meta Information
Fetches PKNCA Metadata
Fetch ruminate State
Determines Default Column Name
Initialize NCA Module State
Loads Pre-Defined Scenario
Make List of Current NCA State
Fetch PKNCA Results Object
Initialize New Analysis
Preload Data for NCA Module
Processes Current Analysis to be Run
Fetch Non-Compartmental Analysis State
Sets Current Analysis
Populate Session Data for Module Testing
Plots Timecourse of Rules Simulations
Plots Timecourse of Rules Simulations
Checks ruminate Dependencies
ruminate: Shiny app and module to facilitate pharamacometrics analysis
Runs NCA for the Current Analysis
Converts an rxode2 Object Into Specified Model Format
Rule-Based simulates
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.