R: Prediction in structural equation models

predict.lvm {lava} | R Documentation

## Prediction in structural equation models

### Description

Prediction in structural equation models

### Usage

    ## S3 method for class 'lvm'
    predict(object, x = NULL, y = NULL, residual = FALSE, p,
      data, path = FALSE, quick = is.null(x) & !(residual | path), ...)

### Arguments

`object` | Model object
`x` | optional list of (endogenous) variables to condition on
`y` | optional subset of variables to predict
`residual` | If true the residuals are predicted
`p` | Parameter vector
`data` | Data to use in prediction
`path` | Path prediction
`quick` | If TRUE the conditional mean and variance given covariates are returned (and all other calculations skipped)
`...` | Additional arguments to lower level function

### See Also

predictlvm

### Examples

    m <- lvm(list(c(y1,y2,y3)~u,u~x)); latent(m) <- ~u
    d <- sim(m,100)
    e <- estimate(m,d)

    ## Conditional mean (and variance as attribute) given covariates
    r <- predict(e)
    ## Best linear unbiased predictor (BLUP)
    r <- predict(e,vars(e))
    ##  Conditional mean of y3 giving covariates and y1,y2
    r <- predict(e,y3~y1+y2)
    ##  Conditional mean  gives covariates and y1
    r <- predict(e,~y1+y2)
    ##  Predicted residuals (conditional on all observed variables)
    r <- predict(e,vars(e),residual=TRUE)

[Package lava version 1.6.1 Index]