TIDAL

TIDAL facilitates growth curve modelling by improving access, analysis, and interpretation of longitudinal data.

Key Features:

• Data Preparation: Converts data from wide to long format.
• Data Exploration: Generates basic plots and descriptive information for longitudinal data.
• Trajectory Analysis: Analyzes trajectories using mixed effects modelling with interpretation of results, visualisation of trajectories, and extraction of key features including scores at different ages and area under the curve.
• Interaction Analysis: Derives population specific trajectories combined with data preparation, exploration, and analysis features.
• R Syntax Generation: Provides R syntax to accompany each analytical step.

Scientific Applications:

• Longitudinal Trait Modelling: Models trajectories of traits and behaviours over time using growth curve modelling.
• Developmental Analysis: Supports developmental research requiring analysis of longitudinal data trajectories.

Methodology:

Mixed effects modelling for trajectory analysis with extraction of scores at different ages and area under the curve.