Find names of model parameters from zero-inflated models — find

Returns the names of model parameters, like they typically appear in the summary() output.

Usage

# S3 method for zeroinfl
find_parameters(
  x,
  component = c("all", "conditional", "zi", "zero_inflated"),
  flatten = FALSE,
  ...
)

# S3 method for mhurdle
find_parameters(
  x,
  component = c("all", "conditional", "zi", "zero_inflated", "infrequent_purchase", "ip",
    "auxiliary"),
  flatten = FALSE,
  ...
)

Arguments

x: A fitted model.
component: Should all predictor variables, predictor variables for the conditional model, the zero-inflated part of the model, the dispersion term or the instrumental variables be returned? Applies to models with zero-inflated and/or dispersion formula, or to models with instrumental variable (so called fixed-effects regressions). May be abbreviated. Note that the conditional component is also called count or mean component, depending on the 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 of parameter names. The returned list may have following elements:

conditional, the "fixed effects" part from the model.
zero_inflated, the "fixed effects" part from the zero-inflation component of the model.

Examples

data(mtcars)
m <- lm(mpg ~ wt + cyl + vs, data = mtcars)
find_parameters(m)
#> $conditional
#> [1] "(Intercept)" "wt"          "cyl"         "vs"         
#>