dlba_inverse_external: Density Function for the LBA Model Using Inverse Transform...
In lbaModel: The Linear Ballistic Accumulation Model

View source: R/RcppExports.R

dlba_inverse_external

R Documentation

Density Function for the LBA Model Using Inverse Transform Method

Description

Computes the probability density of response times for the Linear Ballistic Accumulator (LBA) model using an inverse transform formulation.

Usage

dlba_inverse_external(
  rt_r,
  response_r,
  parameter_r,
  is_positive_drift_r,
  time_parameter_r
)

Arguments

`rt_r`	A numeric vector of response times (RTs) for which the density should be computed.
`response_r`	An integer vector of response choices (indices of winning accumulators), same length as `rt_r`.
`parameter_r`	A numeric matrix of LBA parameters. Each column corresponds to an accumulator, and each row corresponds to a parameter, with the expected order being: `A` - Starting point variability `b` - Thresholds `mean_v` - Mean drift rates `sd_v` - Standard deviation drift rates `st0` - Variability of the non-decision `t0` - Non-decision time
`is_positive_drift_r`	A logical vector indicating whether the drift rate must be positive for each trial.
`time_parameter_r`	A numeric vector to set the simulated time grid, with the expected value for: minimal and maximum decision times and the difference time (i.e., `min dt`, `max dt` and `dt`).

Details

This function is a lower-level computational routine intended to be used inside higher-level LBA model evaluation or fitting functions. It uses the inverse transform method to compute exact LBA densities in a numerically stable and efficient way. The function assumes consistent input dimensions across all arguments.