autohrf (version 1.1.3)

get_best_models: get_best_models

Description

Returns and prints the best fitted model for each of the specs used in autohrf.

Usage

get_best_models(autofit, return_fitness = FALSE, verbose = TRUE)

Value

Returns a list containing the best models for each of the provided constraints.

Arguments

autofit

Output of the autohrf function.

return_fitness

Whether to return models or fitness.

verbose

Whether to print information or only return the result.

Examples

# prepare model specs
model3 <- data.frame(
  event        = c("encoding", "delay", "response"),
  start_time   = c(0,          2.65,     12.5),
  end_time     = c(3,          12.5,     16)
)

model4 <- data.frame(
  event        = c("fixation", "target", "delay", "response"),
  start_time   = c(0,          2.5,      2.65,    12.5),
  end_time     = c(2.5,        3,        12.5,    15.5)
)

model_constraints <- list(model3, model4)

# run autohrf
df <- flanker
autofit <- autohrf(df, model_constraints, tr = 2.5,
                   population = 2, iter = 2, cores = 1)

# print best models
get_best_models(autofit)