options_lme: Options control - Linear mixed model
In dfConn: Dynamic Functional Connectivity Analysis

Description Usage Arguments Value Examples

Options control for running linear mixed model.

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options_lme(effective_tp, num.scan, ntps.per.scan, output_dir = NULL,
  subjects = NULL, ci_level = 0.975, numIntKnots = 40, cores = 1,
  ngrid = 201, seed = 1114)

`effective_tp`	integer, effective scan time points.
`num.scan`	integer, number of scan.
`ntps.per.scan`	integer, number of timepoints per scan.
`output_dir`	string, directory for storing output files.
`subjects`	character vector, names of subjects.
`ci_level`	numeric, level of confidence interval, with default 0.975.
`numIntKnots`	integer, number of knots for O’Sullivan penalized splines, default is 40
`cores`	integer, number of cores to register while running parallel jobs.
`ngrid`	integer, number of grids.
`seed`	integer, random seed.

A list of options

data("MLPB_output_median")

subjects <- c('subject1', 'subject2', 'subject3', 'subject4', 'subject5')

# In our demo data, each subject has a scan with a total of 750 time points
time.points <- c(1:105, 126:230, 251:355,
                 376:480, 501:605, 626:730) 
                 
                 
num.scan <- 6 # Each subject has 6 scans
ntps.per.scan <- 105 # Each scan has 105 time points

op <- options_lme(effective_tp = time.points, 
                 ntps.per.scan = ntps.per.scan,
                 subjects = subjects, 
                 num.scan = num.scan, 
                 cores = 5)