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JM (version 0.8-1)

jointModelObject: Fitted jointModel Object

Description

An object returned by the jointModel function, inheriting from class jointModel and representing a fitted joint model for longitudinal and time-to-event data. Objects of this class have methods for the generic functions anova, coef, fitted, fixed.effects, logLik, plot, print, random.effects, residuals, summary, and vcov.

Arguments

Value

  • The following components must be included in a legitimate jointModel object.
  • coefficientsa list with the estimated coefficients. The components of this list are: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
  • Hessianthe Hessian matrix evaluated at the estimated parameter values.
  • logLikthe log-likelihood value.
  • EBa list with components: [object Object],[object Object],[object Object],[object Object],[object Object]
  • knotsthe numeric vector of the knots positions; returned only when method = "spline-PH-GH", method = "piecewise-PH-GH" or method = "ch-Laplace".
  • itersthe number of iterations in the optimization algorithm.
  • convergenceconvergence identifier: 0 corresponds to successful convergence, whereas 1 to a problem (i.e., when 1, usually more iterations are required).
  • nthe number of sample units.
  • Nthe total number of repeated measurements for the longitudinal outcome.
  • nia vector with the number of repeated measurements for each sample unit.
  • da numeric vector with 0 denoting censored observation and 1 events.
  • idthe grouping vector for the longitudinal responses.
  • xa list with the design matrices for the longitudinal and event processes.
  • ya list with the response vectors for the longitudinal and event processes.
  • data.ida data.frame containing the variables for the linear mixed effects model at the time of the event.
  • methodthe value of the method argument.
  • termsYthe terms component of the lmeObject.
  • termsTthe terms component of the survObject.
  • formYxthe formula for the fixed effects part of the longitudinal model.
  • formYzthe formula for the random effects part of the longitudinal model.
  • formTthe formula for the survival model.
  • timeVarthe value of the timeVar argument
  • controlthe value of the control argument.
  • parameterizationthe value of the parameterization argument.
  • interFactthe value of the interFact argument
  • derivFormthe value of the derivForm argument.
  • lagthe value of the lag argument.
  • callthe matched call.

See Also

jointModel