R: Print a 'model_set'-Class Object

print.model_set {modelbpp}

R Documentation

Print a `model_set`-Class Object

Description

Print the content of a model_set-class object.

Usage

## S3 method for class 'model_set'
print(
  x,
  bic_digits = 3,
  bpp_digits = 3,
  sort_models = TRUE,
  max_models = 20,
  bpp_target = NULL,
  target_name = "original",
  more_fit_measures = NULL,
  fit_measures_digits = 3,
  short_names = FALSE,
  ...
)

Arguments

`x`	A `model_set`-class object.
`bic_digits`	The number of decimal places to be displayed for BIC. Default is 3.
`bpp_digits`	The number of decimal places to be displayed for BIC posterior probability and prior probabilities. Default is 3.
`sort_models`	Whether the models will be sorted by BIC posterior probability. Default is `TRUE`.
`max_models`	The maximum number of models to be printed. Default is 20.
`bpp_target`	The desired BIC probability. Used to compute and print the minimum prior probability of the target model required to achieve `bpp_target`. Default is `NULL`.
`target_name`	The name of the target model as appeared in the model list. Default is `"original"`. Used if `bpp_target` is not `NULL`.
`more_fit_measures`	Character vector. To be passed to `lavaan::fitMeasures()`. Default is `NULL`. If not `NULL`, these are the additional measures to be printed.
`fit_measures_digits`	The number of decimal places to be displayed for additional fit measures, if requested. Default is 3.
`short_names`	If `TRUE`, then simple short names will be printed along with full model names. Default is `FALSE`. Short names can be used when interpreting the graph from `model_graph()` if short names are used in the graph.
`...`	Optional arguments. Ignored.

Details

It is the print method of the output of model_set().

Value

x is returned invisibly. Called for its side effect.

Author(s)

Shu Fai Cheung https://orcid.org/0000-0002-9871-9448

Examples


library(lavaan)

dat <- dat_path_model

mod <-
"
x3 ~ a*x1 + b*x2
x4 ~ a*x1
ab := a*b
"

fit <- sem(mod, dat_path_model, fixed.x = TRUE)

out <- model_set(fit)
out

[Package modelbpp version 0.1.3 Index]

Print a model_set-Class Object