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calc_constants()
- Produce required constants for periodogram calculation
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calculate_GCI.6DF_summary
- Calculates Glucose Color Index (GCI) using 6DF disjoint linear summary of
log-periodogram
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calculate_GCI()
- Calculates Glucose Color Index (GCI)
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calculate_GCI(<data.frame>)
- Calculates Glucose Color Index (GCI) using long-format raw CGM time series
in a dataframe with sensible defaults
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calculate_GCI(<default>)
- Catch attempt to calculate GCI using unsupported class
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default_pgram()
- Return reasonable defaults for CGM log-periodogram calculation
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default_weights()
- Return default weights for 6DF representation linear combination used to
calculte GCI
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linear_approx()
- Calculate 6 degree of freedom representation of a log-periodogram
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new_6DF()
- Class for representing 6DF piece-wise linear model periodogram summary
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new_pgram()
- Class for packaging a log-periodogram with its corresponding frequencies
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pad_for_pgram()
- Pad the CGM time series with zeros
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pgram()
- Calculate CGM periodogram for a given time series and argument
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slope_midpoint()
- Fit disjoint linear model portion and return slope/midpoint components