predictlvm function

Predict function for latent variable models

Predict function for latent variable models

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

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

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

See Also

predict.lvm

  • Maintainer: Klaus K. Holst
  • License: GPL-3
  • Last published: 2025-01-12