The summary method is designed to offer similar arguments to
lavaan
's summary, but with shorter and more domain-specific output.
# S4 method for dpm
summary(
object,
standardized = FALSE,
ci = FALSE,
se = TRUE,
zstat = TRUE,
pvalue = TRUE,
ci.level = 0.95,
boot.ci.type = c("perc", "norm", "basic", "bca.simple"),
digits = getOption("dpm-digits", 3),
...
)
Returns a summary.dpm
object, which is a list with three elements:
model
: The dpm
object.
coefficients
: A data frame containing coefficient estimates,
standard errors, p values, and so on.
fitmeasures
: A numeric vector containing model fit information.
The primary function of the object is to be printed to the console.
A dpm
object.
Use lavaan
's method for standardizing coefficients?
Default is FALSE.
Show confidence intervals? Default is FALSE.
Show standard errors? Default is TRUE.
Show the z statistic? Default is TRUE.
Show p values? Default is TRUE.
How wide should the confidence intervals be? Ignored if
ci
is FALSE. Default is .95.
If the model was fit with bootstrapped standard errors
and ci
is TRUE, which method should be used for finding the intervals?
Default is "perc"
.
How many digits should be printed in the model summary?
Default is 3. You can set a default by setting the option "dpm-digits"
.
Ignored.