Returns the statistic (t, z
, ...) for model estimates.
In most cases, this is the related column from coef(summary())
.
get_statistic(x, ...)# S3 method for default
get_statistic(x, column_index = 3, ...)
# S3 method for glmmTMB
get_statistic(
x,
component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
...
)
# S3 method for clm2
get_statistic(x, component = c("all", "conditional", "scale"), ...)
# S3 method for betamfx
get_statistic(
x,
component = c("all", "conditional", "precision", "marginal"),
...
)
# S3 method for logitmfx
get_statistic(x, component = c("all", "conditional", "marginal"), ...)
# S3 method for emmGrid
get_statistic(x, ci = 0.95, adjust = "none", ...)
# S3 method for gee
get_statistic(x, robust = FALSE, ...)
# S3 method for betareg
get_statistic(x, component = c("all", "conditional", "precision"), ...)
# S3 method for DirichletRegModel
get_statistic(x, component = c("all", "conditional", "precision"), ...)
A model.
Currently not used.
For model objects that have no defined get_statistic()
method yet, the default method is called. This method tries to extract the
statistic column from coef(summary())
, where the index of the column
that is being pulled is column_index
. Defaults to 3, which is the
default statistic column for most models' summary-output.
Should all parameters, parameters for the conditional model,
or for the zero-inflated part of the model be returned? Applies to models
with zero-inflated component. component
may be one of
"conditional"
, "zi"
, "zero-inflated"
or "all"
(default). For models with smooth terms, component = "smooth_terms"
is also possible. May be abbreviated. Note that the conditional
component is also called count or mean component, depending
on the model.
Confidence Interval (CI) level. Default to 0.95 (95%). Currently only applies to objects of class emmGrid
.
Character value naming the method used to adjust p-values or confidence intervals. See ?emmeans::summary.emmGrid
for details.
Logical, if TRUE
, test statistic based on robust standard
errors is returned.
A data frame with the model's parameter names and the related test statistic.
# NOT RUN {
data(mtcars)
m <- lm(mpg ~ wt + cyl + vs, data = mtcars)
get_statistic(m)
# }
Run the code above in your browser using DataLab