Fit a structural equation model using bias-reducing methods

This is the workhorse function to fit a structural equation model using bias-reducing methods which we use for our simulations. For endusers, we recommend using the brsem(), brcfa(), or brgrowth() functions which is a wrapper around this function and outputs something more user-friendly.

Usage

fit_sem(
  model,
  data,
  rbm = c("implicit", "explicit", "none"),
  plugin_pen = NULL,
  debug = FALSE,
  lavfun = "sem",
  maxgrad = FALSE,
  fn.scale = 1,
  ...
)

Arguments

model

A description of the user-specified model. Typically, the model is described using the lavaan model syntax. See lavaan::model.syntax for more information. Alternatively, a parameter table (eg. the output of the lavaan::lavaanify() function) is also accepted.

data

An optional data frame containing the observed variables used in the model. If some variables are declared as ordered factors, lavaan will treat them as ordinal variables.

rbm

The type of RBM method to use. One of "none", "explicit", or "implicit" (although, short forms are accepted, e.g. "exp", "iRBM, etc.)

plugin_pen

The type of penalty to use. One of NULL, "pen_ridge", or "pen_ridge_bound". User-specified penalty functions are possible. See description for details.

debug

If TRUE, the function will return a list of intermediate results for debugging purposes.

lavfun

The lavaan function to use. Default is "sem".

maxgrad

If TRUE, the function will return the maximum gradient value.

fn.scale

A scaling factor for the log-likelihood function.

...

Additional arguments to pass to the lavaan::lavaan function.

Value

An object of class brlavaan which is a subclass of the lavaan::lavaan class.