A sparse grid used for numerical integration to get the likelihood.
Hessian
A logical, if TRUE, the hessian is computed and returned.
tol
numerical tolerance.
...
Additional argument.
Details
A Gaussian copula with a correlation structure obtained from a random
intercept or random intercept / random slope model (that is, clustered or
longitudinal data can by modelled only) is used to capture the
correlations whereas the marginal distributions are described by a
transformation model. The methodology is described in Barbanti and Hothorn
(2022) and examples are given in the mtram package vignette.
Only coef() and logLik() methods are available at the
moment, see vignette("mtram", package = "tram") for worked
examples.
References
Luisa Barbanti and Torsten Hothorn (2023). A Transformation Perspective on
Marginal and Conditional Models, Biostatistics, tools:::Rd_expr_doi("10.1093/biostatistics/kxac048").