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lava (version 1.8.0)

predictlvm: Predict function for latent variable models

Description

Predictions of conditinoal mean and variance and calculation of jacobian with respect to parameter vector.

Usage

predictlvm(object, formula, p = coef(object), data = model.frame(object), ...)

Arguments

object

Model object

formula

Formula specifying which variables to predict and which to condition on

p

Parameter vector

data

Data.frame

...

Additional arguments to lower level functions

See Also

predict.lvm

Examples

Run this code
m <- lvm(c(x1,x2,x3)~u1,u1~z,
         c(y1,y2,y3)~u2,u2~u1+z)
latent(m) <- ~u1+u2
d <- simulate(m,10,"u2,u2"=2,"u1,u1"=0.5,seed=123)
e <- estimate(m,d)

## Conditional mean given covariates
predictlvm(e,c(x1,x2)~1)$mean
## Conditional variance of u1,y1 given x1,x2
predictlvm(e,c(u1,y1)~x1+x2)$var

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