optimize_biexponential

biexponential_log_likelihood

Optimizes the log-likelihood function to estimate biexponential model parameters based on observed inter-response times.
Calculates the negative log-likelihood for the simpler biexponential model, which does not include the
refractory period parameter, \(\delta\).

Analyze data from behavioral experiments conducted using 'MED-PC' software developed by Med Associates Inc.
Includes functions to fit exponential and hyperbolic models for delay discounting tasks, exponential mixtures for
inter-response times, and Gaussian plus ramp models for peak procedure data, among others. For more details, refer to Alcala et al. (2023) <doi:10.31234/osf.io/8aq2j>.

Emmanuel Alcala

YEAB

Analyze Data from Analysis of Behavior Experiments

Rodrigo Sosa

Victor Reyes

optimize_biexponential function

<dl><dt>irt</dt>
<dd>A numeric vector representing inter-response times.</dd>
<dt>params</dt>
<dd>A numeric vector of initial parameter estimates for optimization.</dd></dl>

Arguments

Optimization Function for the Biexponential Model — optimize_biexponential

<dl>

<dt>irt</dt>
<dd>A numeric vector representing inter-response times.</dd>


<dt>params</dt>
<dd>A numeric vector of initial parameter estimates for optimization.</dd>

</dl>

optimize_biexponential: Optimization Function for the Biexponential Model

Description

Usage

Value

Arguments

Details