lvm: Initialize new latent variable model

In kkholst/lava: Latent Variable Models

Initialize new latent variable model

Description

Function that constructs a new latent variable model object

Usage

lvm(x = NULL, ..., latent = NULL, messages = lava.options()$messages)

Arguments

x	Vector of variable names. Optional but gives control of the sequence of appearance of the variables. The argument can be given as a character vector or formula, e.g. ~y1+y2 is equivalent to c("y1","y2"). Alternatively the argument can be a formula specifying a linear model.
...	Additional arguments to be passed to the low level functions
latent	(optional) Latent variables
messages	Controls what messages are printed (0: none)

Value

Returns an object of class lvm.

Author(s)

Klaus K. Holst

See Also

regression, covariance, intercept, ...

Examples

m <- lvm() # Empty model
m1 <- lvm(y~x) # Simple linear regression
m2 <- lvm(~y1+y2) # Model with two independent variables (argument)
m3 <- lvm(list(c(y1,y2,y3)~u,u~x+z)) # SEM with three items

kkholst/lava documentation built on Feb. 22, 2024, 4:07 p.m.