lav: Generic SEM Fit Function
In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics

Fits a specified SEM model on given data using lavaan.

lav(
  data,
  model,
  raw_data = TRUE,
  mean_vector = NULL,
  n = NULL,
  minimal = TRUE,
  ...
)

`data`	If `raw_data = TRUE`, sample raw data. The column names must contain observed variable names. If `raw_data = FALSE`, numeric matrix. A sample variance-covariance matrix. The raw names and column names must contain observed variable names.
`model`	Specified model to fit following `lavaan` notation.
`raw_data`	Logical. If `TRUE`, `data` is a sample raw data. If `FALSE`, `data` is a sample variance-covariance matrix.
`mean_vector`	A sample mean vector. Ignored if `raw_data = TRUE`.
`n`	Sample size. Ignored if `raw_data = TRUE`.
`minimal`	Logical. If `TRUE`, returns the indirect effect of X on Y through M. If `FALSE`, returns all the regression coefficients estimated.
`...`	Arguments to pass to `lavaan::sem`.