compositeEnsembles | R Documentation |
Composite with uncertainty
compositeEnsembles(
fTS,
binvec,
spread = TRUE,
stanFun = standardizeMeanIteratively,
ageVar = "age",
gaussianizeInput = FALSE,
alignInterpDirection = TRUE,
scope = "climate",
binFun = sampleEnsembleThenBinTs,
...
)
fTS |
TS object of the timeseries that you want to composite |
binvec |
A vector of bin edges for binning |
spread |
An option to spread values over adjacent empty years (if TRUE, spreadPaleoData() is used by binFun) |
stanFun |
Function to use for standardization |
ageVar |
Name of the time vector in fTS |
gaussianizeInput |
Optionally gaussianize input before compositing |
alignInterpDirection |
Optionally invert timeseries with negative interpretation_direction |
scope |
interpretation_scope for alignInterpDirection (default = 'climate') |
binFun |
Function to use for binning |
... |
parameters to pass to stanFun |
a list. The main composite is in the list$composite matrix (needs a better definition here) TODO
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