predict.tramTMB: Post-estimation calculations in a tramTMB model

In tramME: Transformation Models with Mixed Effects

Post-estimation calculations in a tramTMB model

Description

Post-estimation calculations in a tramTMB model

Usage

## S3 method for class 'tramTMB'
predict(
  object,
  newdata,
  parameters = .get_par(object, full = TRUE),
  scale = c("lp", "trafo"),
  cov = FALSE,
  as.lm = FALSE,
  ...
)

Arguments

object	A tramTMB object
newdata	A named list with elements Y, X and Z (not all necessary)
parameters	A named list of parameter values
scale	The scale on which the post-estimation calculations are done
cov	Logical; If TRUE, calculate the full covariance matrix of the calculated values
as.lm	Logical; reparameterize as a LMM
...	Optional arguments (ignored).

tramME documentation built on July 2, 2024, 5:07 p.m.