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insight (version 0.11.0)

find_terms: Find all model terms

Description

Returns a list with the names of all terms, including response value and random effects, "as is". This means, on-the-fly tranformations or arithmetic expressions like log(), I(), as.factor() etc. are preserved.

Usage

find_terms(x, flatten = FALSE, ...)

Arguments

x

A fitted model.

flatten

Logical, if TRUE, the values are returned as character vector, not as list. Duplicated values are removed.

...

Currently not used.

Value

A list with (depending on the model) following elements (character vectors):

  • response, the name of the response variable

  • conditional, the names of the predictor variables from the conditional model (as opposed to the zero-inflated part of a model)

  • random, the names of the random effects (grouping factors)

  • zero_inflated, the names of the predictor variables from the zero-inflated part of the model

  • zero_inflated_random, the names of the random effects (grouping factors)

  • dispersion, the name of the dispersion terms

  • instruments, the names of instrumental variables

Returns NULL if no terms could be found (for instance, due to problems in accessing the formula).

Examples

Run this code
# NOT RUN {
library(lme4)
data(sleepstudy)
m <- lmer(
  log(Reaction) ~ Days + I(Days^2) + (1 + Days + exp(Days) | Subject),
  data = sleepstudy
)

find_terms(m)
# }

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