compute_p_si {RprobitB} | R Documentation |
Compute choice probabilities at posterior samples
Description
This function computes the probability for each observed choice at the
(normalized, burned and thinned) samples from the posterior. These
probabilities are required to compute the WAIC
and the
marginal model likelihood mml
.
Usage
compute_p_si(x, ncores = parallel::detectCores() - 1, recompute = FALSE)
Arguments
x |
An object of class |
ncores |
This function is parallelized, set the number of cores here. |
recompute |
Set to |
Value
The object x
, including the object p_si
, which is a matrix of
probabilities, observations in rows and posterior samples in columns.
[Package RprobitB version 1.1.4 Index]