1 Introduction | 2 A basic daily_response example | 3 Default plot and ggplot-based modifications | 3.1 Polish the default plot with ggplot2 | 3.2 Additional common modifications | 4 Create a similar plot from scratch | 5 Summary

1 Introduction | 2 Transformation and quick preview of daily data | 3 The daily_response() in action | 3.1 An example of analysing the relationship between Mean Vessel Area (MVA) tree-ring parameter and daily temperature data with fixed window approach | 3.2 Analysis of climate-growth correlations only for a subset of selected time interval | 4 An example with multiple tree-ring proxies | 5 An example of climate reconstruction | 6 The calculation of partial correlations with daily_response_seascorr()

1. The compare_methods() | 2. Basic example | 3. Principal component analysis in combination with the compare_methods() | 4. Example of multiproxy analysis | 5. Example of climate reconstruction | 6. Tuning the machine learning parameters