change_fit: Change postprocessing used in susiF object

In stephenslab/susiF.alpha: Sum of Single Functions

Change postprocessing used in susiF object

Description

Change postprocessing used in susiF object

Usage

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

Arguments

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

stephenslab/susiF.alpha documentation built on March 1, 2025, 4:28 p.m.