tau2zero  R Documentation 
Setting process completion times (taus) to zero or change it back to be estimated.
tau2zero(model, names, outcomes, values = 0) set_tau_zero(model, names, outcomes, values = 0)
model 
A list of the class 
names 
Character vector with process names. 
outcomes 
Character vector of length

values 
Numerical vector of length one or

A list of the class rtmpt_model
.
Raphael Hartmann
delta2delta
, theta2const
, theta2theta
and tau2tau
#################################################################################### # DetectGuess variant of the TwoHigh Threshold model. # The encoding and motor execution times are assumed to be equal for each category. # The process completion times for both failed detections will be suppressed. #################################################################################### mdl_2HTM < " # targets do+(1do)*g (1do)*(1g) # lures (1dn)*g dn+(1dn)*(1g) # do: detect old; dn: detect new; g: guess " model < to_rtmpt_model(mdl_file = mdl_2HTM) ## removing the process times (tau) for the failed (="minus") detection ("do" and "dn") new_model < tau2zero(model = model, names = c("dn", "do"), outcomes = c("minus", "minus"), values = 0) new_model ## removing the process times (tau) for the failed (="minus") detection ("do" and "dn") new_model < set_tau_zero(model = model, names = c("dn", "do"), outcomes = c("minus", "minus"), values = 0) new_model
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