Print an 'lrtp'- Class Object — print.lrtp • semlrtp

Print the content of an lrtp-class object.

Usage

# S3 method for class 'lrtp'
print(
  x,
  digits = 3,
  lrtp_only = TRUE,
  wald_stats = FALSE,
  output = c("text", "data.frame", "table"),
  ...
)

Arguments

x: An lrtp-class object.
digits: Integer. The number of decimal places to print. Default is 3.
lrtp_only: Logical. If TRUE, the default, only parameters with LRT p-values will be printed.
wald_stats: Logical. If TRUE, the usual Wald statistics (e.g., z statistics, p-values, CIs) are printed. FALSE by default, assuming that users prefer using LRT statistics when using lrtp().
output: The format of the printout. If "text", then the style in the summary() of the lavaan-class object is used. If "data.frame" or "table", then the data frame format of lavaan::parameterEstimates() is used.
...: Optional arguments. Not used.

Value

x is returned invisibly. Called for its side effect.

Details

The print method for the output of lrtp().

Additional diagnostic information will be printed if one or more likelihood tests encounter some errors or warnings.

See also

Author

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

Examples


library(lavaan)
data(data_sem16)
mod <-
"
f1 =~ x1 + x2 + x3
f2 =~ x4 + x5 + x6
"
fit <- sem(mod, data_sem16)

out <- lrtp(fit)
out
#> 
#> Parameter Estimates:
#> 
#>   Standard errors                             Standard
#>   Information                                 Expected
#>   Information saturated (h1) model          Structured
#> 
#> Covariances:
#>                    Estimate  Std.Err    Chisq     LRTp
#>   f1 ~~                                               
#>     f2                0.057    0.028   10.646    0.001
#> 
print(out, lrtp_only = FALSE)
#> 
#> Parameter Estimates:
#> 
#>   Standard errors                             Standard
#>   Information                                 Expected
#>   Information saturated (h1) model          Structured
#> 
#> Latent Variables:
#>                    Estimate  Std.Err    Chisq     LRTp
#>   f1 =~                                               
#>     x1                1.000                NA       NA
#>     x2                0.963    0.252       NA       NA
#>     x3                1.054    0.284       NA       NA
#>   f2 =~                                               
#>     x4                1.000                NA       NA
#>     x5                1.771    0.740       NA       NA
#>     x6                2.368    1.060       NA       NA
#> 
#> Covariances:
#>                    Estimate  Std.Err    Chisq     LRTp
#>   f1 ~~                                               
#>     f2                0.057    0.028   10.646    0.001
#> 
#> Variances:
#>                    Estimate  Std.Err    Chisq     LRTp
#>    .x1                1.020    0.111       NA       NA
#>    .x2                1.048    0.109       NA       NA
#>    .x3                0.709    0.100       NA       NA
#>    .x4                1.154    0.096       NA       NA
#>    .x5                0.972    0.114       NA       NA
#>    .x6                0.826    0.162       NA       NA
#>     f1                0.276    0.100       NA       NA
#>     f2                0.067    0.048       NA       NA
#>