evaluate_history_option function

Evaluates whether and how to fit a cumulative history parameter.

Evaluation is based on the param_value.

1. A single positive number (>0) that is used for all participants and runs.
2. NULL (default) - a single value will be fitted for all participants and runs, also applied if randomN == 1.
3. "random" - an independent value is fitted for each random cluster.
4. "1|random"- a value for a random cluster is sampled from a population distribution, i.e., pooled parameter values via a multilevel model.

evaluate_history_option(param_name, param_value, randomN, upperLimit)

Arguments

• param_name: Name of the parameter.
• param_value: Value from the fit_cumhist function call.
• randomN: Number of levels for the random variable.
• upperLimit: Upper limit for a valid param_value.

Returns

a list with <param_name>_option and fixed_<param_name>.

Examples

evaluate_history_option("tau", 1, 1, Inf)