rrice

Density and random generation for the Rician distribution

 noise 

 low-level

Generates functional Magnetic Resonance Imaging (fMRI)
time series or 4D data. Some high-level
functions are created for fast data generation with only
a few arguments and a diversity of functions to define
activation and noise. For more advanced users it is possible
to use the low-level functions and manipulate the arguments.
See Welvaert et al. (2011) <doi:10.18637/jss.v044.i10>.

Karsten Tabelow

neuRosim

Simulate fMRI Data

Marijke Welvaert

Joke Durnez

Beatrijs Moerkerke

Yves Rosseel

Geert Verdoolaege

rrice function

<dl> <dt>n</dt>
<dd>number of observations. Must be a positive integer of length 1.</dd> <dt>vee</dt>
<dd>non-centrality parameter of the distribution. Must be a positive integer of length 1.</dd> <dt>sigma</dt>
<dd>scale parameter of the distribution. Must be a positive integer of length 1.</dd></dl>

Arguments

Author

The Rice Distribution — rrice

<dl>

 <dt>n</dt>
<dd>number of observations. Must be a positive integer of length 1.</dd>

 <dt>vee</dt>
<dd>non-centrality parameter of the distribution. Must be a positive integer of length 1.</dd>

 <dt>sigma</dt>
<dd>scale parameter of the distribution. Must be a positive integer of length 1.</dd>

</dl>

The Rice Distribution

rrice: The Rice Distribution

Description

Usage

Value

Arguments

Author

Details

Examples