View source: R/operation_on_susiF_obj.R
out_prep.EBmvFR | R Documentation |
Preparing output of main susiF function
## S3 method for class 'EBmvFR'
out_prep(obj, Y, X, indx_lst, outing_grid, ...)
out_prep(obj, Y, X, indx_lst, outing_grid, ...)
## S3 method for class 'susiF'
out_prep(
obj,
Y,
X,
indx_lst,
outing_grid,
filter_cs,
filter.number = 10,
family = "DaubLeAsymm",
post_processing = "TI",
tidx = NULL,
names_colX = NULL,
pos,
...
)
obj |
a susiF object defined by init_susiF_obj function |
Y |
functional phenotype, matrix of size N by size J. The underlying algorithm uses wavelets that assume that J is of the form J^2. If J is not a power of 2, susiF internally remaps the data into a grid of length 2^J |
X |
matrix of size N by p |
indx_lst |
list generated by gen_wavelet_indx for the given level of resolution |
outing_grid |
grid use to fit fsusie |
filter_cs |
logical, if TRUE filter the credible set (removing low purity cs and cs with estimated prior equal to 0) |
pos |
the original position of the Y column |
susiF object
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