Core extractor methods for qgcompmulti objects

Extract core fitted-model components from a qgcompmulti object using standard R generic functions. These methods give the primary marginal structural model (MSM) results and the metadata needed for model inspection.

Usage

# S3 method for class 'qgcompmulti'
coef(object, ...)

# S3 method for class 'qgcompmulti'
formula(x, ...)

# S3 method for class 'qgcompmulti'
nobs(object, ...)

# S3 method for class 'qgcompmulti'
df.residual(object, ...)

# S3 method for class 'qgcompmulti'
residuals(object, ...)

# S3 method for class 'qgcompmulti'
vcov(object, ...)

Arguments

object

A fitted qgcompmulti object for coef(), vcov(), nobs(), df.residual(), and residuals().

...

Not used.

x

A fitted qgcompmulti object for formula().

Value

coef() returns a named numeric vector of MSM coefficients.

vcov() returns the full covariance matrix aligned with coef(object).

formula() returns the original formula supplied to qgcomp.glm.multi().

nobs() returns the number of observations actually used in the model-fitting workflow.

df.residual() returns a coefficient-level residual degrees-of-freedom approximation based on the stored MSM parameter count and the number of observations used. This is primarily intended to support mice::pool() complete-data degrees-of-freedom handling for single-fit qgcompmulti analyses.

residuals() returns the residual vector from the stored outcome-model fit. This preserves access to ordinary GLM residual behavior for downstream tools that expect a conventional fitted-model residual interface.

See also

summary.qgcompmulti(), print.qgcompmulti(), confint.qgcompmulti(), qgcomp.glm.multi()