a2a: Set process thresholds equal

In rtmpt: Fitting (Exponential/Diffusion) RT-MPT Models

Set process thresholds equal

Description

Setting multiple process thresholds (parameter a) equal. One of the process thresholds will be estimated and the other named thresholds will be set to equal the former. The equality can be removed by only using one name of a process.

Usage

a2a(model, names, keep_consts = FALSE)

set_a_equal(model, names, keep_consts = FALSE)

Arguments

model	A list of the class drtmpt_model.
names	Character vector giving the names of the processes for which the process thresholds should be equal. If length(names) = 1 then the corresponding process threshold will be estimated (i.e., it will be set to NA)
keep_consts	Can be one of the following logical value: FALSE (default) means none of the constants for names in the model will be kept; The thresholds of the reference process (i.e., first of names in alphabetical order) will be set to NA (i.e., will be estimated) and the others will be set to the name of the reference process (i.e., will be set to equal the reference process thresholds). TRUE means the constant of the reference process threshold (if specified) is used for all other processes. numeric value: index for names. If 1, the constant of the first process in names (in original order defined by the user) is used for all other thresholds of the processes in names. If 2, the constant of the second process is used. And so on.

Value

A list of the class drtmpt_model.

Author(s)

Raphael Hartmann

See Also

delta2delta, a2const, nu2const, nu2nu, omega2const, and omega2omega

Examples

####################################################################################
# Detect-Guess variant of the Two-High Threshold model.
# The encoding and motor execution times are assumed to be equal for each category.
# The process thresholds for both detection processes ("do" and "dn")
# will be set equal.
####################################################################################

mdl_2HTM <- "
# targets
do+(1-do)*g
(1-do)*(1-g)

# lures
(1-dn)*g
dn+(1-dn)*(1-g)

# do: detect old; dn: detect new; g: guess
"

model <- to_drtmpt_model(mdl_file = mdl_2HTM)

## make do = dn
new_model <- a2a(model = model, names = c("do", "dn"))
new_model


## make do = dn
new_model <- set_a_equal(model = model, names = c("do", "dn"))
new_model

rtmpt documentation built on May 29, 2024, 3:01 a.m.