3dTSgen


This program generates an AFNI 3d+time data set.  The time series for
each voxel is generated according to a user specified signal + noise
model.

Usage:
3dTSgen
-input fname       fname = filename of prototype 3d + time data file
[-inTR]            set the TR of the created timeseries to be the TR
                     of the prototype dataset
                     [The default is to compute with TR = 1.]
                     [The model functions are called for a  ]
                     [time grid of 0, TR, 2*TR, 3*TR, ....  ]
-signal slabel     slabel = name of (non-linear) signal model
-noise  nlabel     nlabel = name of (linear) noise model
-sconstr k c d     constraints for kth signal parameter:
                      c <= gs[k] <= d
-nconstr k c d     constraints for kth noise parameter:
                      c+b[k] <= gn[k] <= d+b[k]
-sigma  s          s = std. dev. of additive Gaussian noise
[-voxel num]       screen output for voxel #num
-output fname      fname = filename of output 3d + time data file


The following commands generate individual AFNI 1 sub-brick datasets:

[-scoef k fname]   write kth signal parameter gs[k];
                     output 'fim' is written to prefix filename fname
[-ncoef k fname]   write kth noise parameter gn[k];
                     output 'fim' is written to prefix filename fname


The following commands generate one AFNI 'bucket' type dataset:

[-bucket n prefixname]   create one AFNI 'bucket' dataset containing
                           n sub-bricks; n=0 creates default output;
                           output 'bucket' is written to prefixname
The mth sub-brick will contain:
[-brick m scoef k label]   kth signal parameter regression coefficient
[-brick m ncoef k label]   kth noise parameter regression coefficient

++ Compile date = Aug 10 2020 {AFNI_20.2.11:linux_ubuntu_16_64}