R: Initialize new latent variable model

lvm {lava} | R Documentation

## 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

[Package lava version 1.6.1 Index]