Change postprocessing used in susiF object

Usage

change_fit(
  obj,
  Y,
  X,
  to = "TI",
  verbose = TRUE,
  max_scale = 10,
  filter_cs = FALSE,
  filter.number = 10,
  family = "DaubLeAsymm"
)

obj: a fitted susiF object
Y: functional phenotype used in the original fit
X: matrix of covariates used in the original fit
to: name of the type of postprocessing you wish to change the susiF object to be fitted with current option "TI" or "hMM"
verbose: If verbose = TRUE, the algorithm's progress, and a summary of the optimization settings are printed on the console.
max_scale: numeric, define the maximum of wavelet coefficients used in the analysis (2^max_scale). Set 10 true by default.
filter_cs: logical, if TRUE filters the credible set (removing low-purity) cs and cs with estimated prior equal to 0). Set as TRUE by default.
filter.number: see documentation of wd from wavethresh package
family: see documentation of wd from wavethresh package