omega2const: Set process relative starting-point to constants

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

Set process relative starting-point to constants

Description

Setting process relative starting-point (parameter omega) to constants or change it back to be estimated.

Usage

omega2const(model, names, constants = NA)

set_omega_const(model, names, constants = NA)

Arguments

model	An object of the class rtmpt_model.
names	Character vector with process names.
constants	Numerical vector of length one or length(names). You have the following options for the elements of the numeric vector: 0 < constants < 0: set the named relaitve starting-point parameter(s) to constant value(s) larger than zero and smaller than 1 NA: estimate the named relaitve starting-point parameter(s)

Value

An object of the class drtmpt_model.

Author(s)

Raphael Hartmann

See Also

delta2delta, a2const, a2a, nu2const, nu2nu, 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 relative starting-point for guessing (g) will be set to 0.5.
####################################################################################

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)

## setting relative starting-point for g to a constant (1.0):
new_model <- omega2const(model = model, names = c("g"), constants = c(0.5))
new_model


## setting relative starting-point of g to a constant (0.5):
new_model <- set_omega_const(model = model, names = c("g"), constants = c(0.5))
new_model

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