run_experiment: Run experiment

In calmr: Canonical Associative Learning Models and their Representations

Run experiment

Description

Runs an experiment with minimal parameters.

Usage

run_experiment(x, outputs = NULL, parse = TRUE, aggregate = TRUE, ...)

Arguments

x	A CalmrExperiment or design data.frame
outputs	A character vector specifying which outputs to parse and aggregate. Defaults to NULL, in which case all model outputs are parsed/aggregated.
parse	A logical specifying whether the raw results should be parsed. Default = TRUE.
aggregate	A logical specifying whether the parsed results should be aggregated. Default = TRUE.
...	Arguments passed to other functions

Value

A CalmrExperiment with results.

Examples

# Using a data.frame only (throws warning)
df <- get_design("relative_validity")
run_experiment(df, model = "RW1972")

# Using custom parameters
df <- get_design("relative_validity")
pars <- get_parameters(df, model = "HD2022")
pars$alphas["US"] <- 0.6
run_experiment(df, parameters = pars, model = "HD2022")

# Using make_experiment, for more iterations
df <- get_design("blocking")
pars <- get_parameters(df, model = "SM2007")
exper <- make_experiment(df,
  parameters = pars, model = "SM2007",
  iterations = 4
)
run_experiment(exper)

# Only parsing the associations in the model, without aggregation
run_experiment(exper, outputs = "associations", aggregate = FALSE)

calmr documentation built on June 8, 2025, 1:03 p.m.