The second term of the likelihood represents the log-normal race model that occurs with probability 1-theta_c. We use p_lnrace(rt_n,choice_n) as a shorthand for the following function (which we have already used in the models before):
p_lnrace(rt_n,choice_n) = ...
HY: Again, the word accumulator's likelihood should be multiplied with the complementary CDF of the "non-word" accumulator when choice=word.
HY: Finally, the equations with \tag{20.1} and \tag{20.2} are still in their latex form (probably some box command error).
I think there is something wrong with the following equations. Can Bruno check?
20.1.3 Fitting the log-normal race model
Rather than trying to estimate all the censored observations, we integrate them out:
P(T_censored) = ...
HY: In the above equation, the complementary CDF should correspond to the "non-word" accumulator when
choice=word
.20.1.5 Dealing with contaminant responses
The second term of the likelihood represents the log-normal race model that occurs with probability
1-theta_c
. We usep_lnrace(rt_n,choice_n)
as a shorthand for the following function (which we have already used in the models before):p_lnrace(rt_n,choice_n) = ...
HY: Again, the word accumulator's likelihood should be multiplied with the complementary CDF of the "non-word" accumulator when
choice=word
.HY: Finally, the equations with
\tag{20.1}
and\tag{20.2}
are still in their latex form (probably some box command error).