Description Usage Arguments Value
likelihood.rd
is a legacy function for computing diffusion
model density. If the speed of computation is a concern, the user may want to
use ddmc
, which implemnts a streamlined C++ diffusion model density.
1 2 3 4 5 6 7 8 9 10 | likelihood(data, p.vector, min.like = 1e-10, ...)
## Default S3 method:
likelihood(data, p.vector, min.like = 1e-10, ...)
## S3 method for class 'rd'
likelihood(data, p.vector, min.like = 1e-10, ...)
## S3 method for class 'norm'
likelihood(data, p.vector, min.like = 1e-10, ...)
|
data |
a model data instance |
p.vector |
a parameter vector |
min.like |
minimal likelihood, 1e-10 |
... |
other parameters, such as precision for |
a vector of likelihoods for each RT in data (in same order)
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