rlba_norm: Generate Random Deviates of the LBA Distribution
In ggdmc: Cognitive Models

rlba_norm, only slightly faster than maker, calls C++ function directly.

1	rlba_norm(n, A, b, mean_v, sd_v, t0, st0, posdrift)

`n`	is the numbers of observation.
`A`	start point upper bound, a vector of a scalar.
`b`	decision threshold, a vector or a scalar.
`mean_v`	mean drift rate vector
`sd_v`	standard deviation of drift rate vector
`t0`	nondecision time, a vector.
`st0`	nondecision time variation, a vector.
`posdrift`	if exclude negative drift rates