neuroCombatFromTraining.Rd[UNDER DEVELOPMENT] neuroCombat harmonization using parameters estimated from a training dataset. Estimated parameters are applied to a new dataset, assuming scanners/batches in the new dataset were also present in the training dataset.
neuroCombatFromTraining(dat, batch, estimates, mod = NULL, verbose = TRUE)| dat | Numeric matrix with imaging features as rows, and scans/images as columns. |
|---|---|
| batch | Numeric or character vector specifying the batch/scanner
variable needed for harmonization. Length must be equal to the
number of columns in |
| estimates | Prior neuroCombat estimates to be applied onto
the new dataset. Usually obtained from the output of
|
| mod | Optional model matrix for outcome of interest and other covariates besides batch/scanner. |
| verbose | Should progress messages be printed? TRUE by default. |
A named list of length 2. The first element (dat.combat)
contains the harmonized data. The second element (estimates) contains
estimates and other parameters used during harmonization.