Access components of a fitted longitudinal GAMLSS-copula model — gamlss_longitudinal

These S3 methods expose the standard regression components expected by model-auditing workflows: formulas, terms, observation counts, model frames, fitted values, and residuals. They return the expanded internal data by default because gamlss_longitudinal() represents structurally missing subject-time combinations explicitly.

Usage

# S3 method for class 'gamlss.longitudinal'
formula(
  x,
  parameter = c("mu", "sigma", "nu", "tau", "theta", "zeta"),
  internal = FALSE,
  ...
)

# S3 method for class 'gamlss.longitudinal'
terms(
  x,
  parameter = c("mu", "sigma", "nu", "tau", "theta", "zeta"),
  internal = FALSE,
  ...
)

# S3 method for class 'gamlss.longitudinal'
nobs(object, type = c("observed", "expanded", "submitted"), ...)

# S3 method for class 'gamlss.longitudinal'
model.frame(formula, type = c("expanded", "observed", "submitted"), ...)

# S3 method for class 'gamlss.longitudinal'
fitted(object, parameter = "mu", finite = FALSE, ...)

# S3 method for class 'gamlss.longitudinal'
residuals(
  object,
  type = c("response", "pearson", "quantile"),
  finite = TRUE,
  ...
)

Arguments

x, object, formula: A fitted gamlss.longitudinal object.
parameter: Distributional parameter to extract. Defaults to "mu".
internal: Logical; return internally translated formulas when TRUE.
...: Additional arguments reserved for future methods.
type: Observation-count, model-frame, or residual type.
finite: Logical; restrict fitted values or residuals to finite observed responses and finite fitted parameters.

Value

A formula, terms object, integer count, data frame, or numeric vector.