1.4 Thesis structure

The thesis is structured as follows. Chapter 2 provides details of the cyclic granularities, different classes, and computation, and also its usage in exploratory time series analysis through applications. This is implemented in the R package gravitas. Chapter 3 provides guidance on how to choose significant cyclic granularities, which are likely to have interesting patterns across its categories. This is available as the R package hakear. Chapter 4 provides methods to explore heterogeneity in repetitive behavior for multiple time series over multiple cyclic granularities. This is in the developing R package gracsr. Chapter 5 summarizes the software tools developed for the work, and discusses future plans.