Create a multi-model ensemble
createMultiModelEnsemble( L, depth.var = "depth", age.var = "ageEnsemble", models.to.combine, chron.num = 1, depth.interval = 10, depth.seq = NA, ens.table.number = 1, n.ens = 1000 )
A lipd object containing the ensembles you want to combine
What is the variable name of the ensemble depth vector? Must be the same for all models.
What is the variable name of the chronEnsemble? Must be the same for all models.
2 or more integers that correspond to the chronData model objects you want to combine into an ensemble
an integer that corresponds to number of the chronData object (L$chron[[?]])
The depth spacing that you want the new ensemble to be interpolated to.
Optionally specify a depth sequence overwhich to create the new ensemble
What ensemble table number should we pull the data from (default = 1)
How many ensembles should be included in the final model? The amount from each contributing model will be equal (or very nearly so if it's not evenly divisible)
A lipd object with a new chron model that contains your multimodel ensemble.