R: Validity Weight Model, a linear model weighted by cue...

validityWeightModel {heuristica}

R Documentation

Validity Weight Model, a linear model weighted by cue validities

Validity Weight Model is a linear model with weights calculated by cueValidity.

validityWeightModel(
  train_data,
  criterion_col,
  cols_to_fit,
  reverse_cues = TRUE,
  fit_name = "validityWeightModel"
)

`train_data`	Training/fitting data as a matrix or data.frame.
`criterion_col`	The index of the column in train_data that has the criterion.
`cols_to_fit`	A vector of column indices in train_data, used to fit the criterion.
`reverse_cues`	Optional parameter to reverse cues as needed. By default, the model will reverse the cue values for cues with cue validity < 0.5, so a cue with validity 0 becomes a cue with validity 1. Set this to FALSE if you do not want that, i.e. the cue stays validity 0.
`fit_name`	Optional The name other functions can use to label output. It defaults to the class name.

An object of class validityWeightModel. This is a list containing at least the following components:

"cue_validities": A list of cue validities for the cues in order of cols_to_fit.
"linear_coef": Same as cue validities for this model.