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Fits the specified longitudinal model for the latent processes underlying the relevant time-varying covariates, up until the landmarking times

Source: R/landmarking_longitudinal.R
fit_longitudinal.Rd

Fits the specified longitudinal model for the latent processes underlying the relevant time-varying covariates, up until the landmarking times

Usage

fit_longitudinal(
  x,
  landmarks,
  method,
  formula,
  dynamic_covariates,
  cores = getOption("Ncpus", 1L),
  ...
)

Arguments

x

An object of class Landmarking.

landmarks

A vector of Landmark times.

method

Either "lcmm" or "lme4" or a function for fitting a longitudinal data model, where the first argument is a formula, and also has a data argument.

formula

A formula to be used in longitudinal sub-model fitting.

dynamic_covariates

Vector of time-varying covariates to be modelled as the outcome of a longitudinal model.

cores

Number of cores/threads to be used for parallel computation. Defaults to either options("Ncpus") if set, or 1 (single threaded) otherwise.

...

Additional arguments passed to the longitudinal model fitting function (e.g. number of classes/clusters for lcmm).

Value

An object of class Landmarking.

See also

lcmm::hlme() and lme4::lmer() for additional arguments.