rlba {glba} | R Documentation |
Generate data from an LBA model.
rlba(n, b, A, vs, s, t0, st0 = 0, truncdrifts = TRUE) rlba2(nn, bnd, sp, drift, sddr, nond, st0 = 0)
n |
The number of random variates required. |
b |
The boundary parameter. |
A |
The start point parameter. |
vs |
The drift rates for each of the accumulators. |
s |
The standard deviation of the drift rates. |
t0 |
The non-decision time. |
st0 |
Variability of the non-decision time, uniformly distributed as t0+U(0,st0). |
truncdrifts |
Logical; whether drifts that are generated should be truncated at zero. Negative RTs may result when set to FALSE. |
nn |
The number of random variates required. |
bnd |
The boundary parameter. |
sp |
The start point parameter. |
drift |
The drift rates for each of the accumulators. |
sddr |
The standard deviation of the drift rates. |
nond |
The non-decision time. |
The rlba
function is the one used by Brown and Heathcote; the rlba2
function is the fully vectorized version of the same function; both provide random variates
under the lba distribution; rlba2
allows all the arguments to be vectors of length 'n'
as required to enable simulation in the glba
-package where potentially all parameters
depend on covariates and are hence different for each datapoint.
A data.frame with two variables, 'rt' and 'resp', for the response time and the response, respectively.
Ingmar Visser, function adapted from Brown and Heathcote, code extracted in 2015 from this website: http://www.newcl.org/publications/2008/lbasoftware.htm
Function adapted from Brown and Heathcote, code extracted in 2015 from this website: http://www.newcl.org/publications/2008/lbasoftware.htm
# to be added later