Fits one Gaussian mixed-effects model for each fixed-effect term, omitting
that term in turn, and reports marginal and conditional R-squared values.
predictor_strength(dependent, fixed, random_str, data)
Arguments
- dependent
Name of the dependent variable.
- fixed
Character vector of fixed-effect terms.
- random_str
Character vector defining the random-effect structure.
- data
Data frame used to fit the models.
Value
A data frame with the omitted predictor and the model's marginal and
conditional R-squared values.
Examples
if (FALSE) { # \dontrun{
data("data_s")
predictor_strength(
dependent = "sDur",
fixed = c("pauseBin", "list", "folType", "baseDur"),
random_str = c("(1 | speaker)", "(1 | item)"),
data = data_s
)
} # }