Building on the infrastructure provided by the lattice
	     package, this package provides several new high-level
	     functions and methods, as well as additional utilities
	     such as panel and axis annotation functions.

A general implementation of Structural Equation Models
	with latent variables (MLE, 2SLS, and composite likelihood
	estimators) with both continuous, censored, and ordinal
	outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
	Mixture latent variable models and non-linear latent variable models
	(Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>).
	The package also provides methods for graph exploration (d-separation,
	back-door criterion), simulation of general non-linear latent variable
	models, and estimation of influence functions for a broad range of
	statistical models.

Fit a variety of latent variable models, including confirmatory
   factor analysis, structural equation modeling and latent growth curve models.

The primary purpose of 'lavaan.mi' is to extend the functionality 
     of the R package 'lavaan', which implements structural equation modeling
     (SEM).  When incomplete data have been multiply imputed, the imputed data
     sets can be analyzed by 'lavaan' using complete-data estimation methods,
     but results must be pooled across imputations (Rubin, 1987, <doi:10.1002/9780470316696>).
     The 'lavaan.mi' package automates the pooling of point and standard-error
     estimates, as well as a variety of test statistics, using a familiar interface
     that allows users to fit an SEM to multiple imputations as they would to a
     single data set using the 'lavaan' package.

Helpers for customizing selected outputs from
  'lavaan' by Rosseel (2012) <doi:10.18637/jss.v048.i02>
  and print them. The functions are intended to be used
  by package developers in their packages and so are not
  designed to be user-friendly. They are designed to be
  let developers customize the tables by other
  functions. Currently the parameter estimates tables of a
  fitted object are supported.