Variance-covariance matrix for a fitted longitudinal GAMLSS-copula model
Source:R/common_functions.R
vcov.gamlss.longitudinal.RdVariance-covariance matrix for a fitted longitudinal GAMLSS-copula model
Usage
# S3 method for class 'gamlss.longitudinal'
vcov(
object,
par = NA,
sep_d2 = TRUE,
numderiv = FALSE,
method = c("analytical", "numderiv", "analytical_only"),
progress = interactive(),
h = 1e-04,
...
)Arguments
- object
A fitted
gamlss.longitudinalobject.- par
Optional parameter list for evaluating uncertainty away from the fitted coefficients.
- sep_d2
Logical legacy argument retained for compatibility.
- numderiv
Logical; use the numerical Hessian path.
- method
Character; Hessian method to use.
"analytical"(default) uses the semi-analytical Hessian fromR/analytical_hessian.R."numderiv"uses full finite-difference numerical second derivatives as a slower reference path. The legacynumderivlogical argument is still accepted and maps tomethod = "numderiv"whenTRUE.- progress
Logical; show progress bars for slow Hessian calculations.
- h
Numeric finite-difference step used by the analytical Hessian helper.
- ...
Additional arguments, currently unused.