predictlvm: Predict function for latent variable models

In kkholst/lava: Latent Variable Models

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

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

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