Latent-class mixed models via lcmm — morie_lcmm_latent

Thin extender over lcmm::lcmm for the Proust-Lima et al. (2017) latent-class linear mixed model on longitudinal / repeated-measures data.

Usage

morie_lcmm_latent_class(fixed, random = ~1, subject, data, ng = 2, ...)

Arguments

fixed: A two-sided formula for the fixed-effects part of the model.
random: A one-sided formula for the random-effects part (default ~1, random intercept only).
subject: Character; the name of the column in data identifying the subject / grouping variable.
data: A data frame containing the variables in fixed, random, and subject.
ng: Integer; the number of latent classes (default 2).
...: Further arguments forwarded to lcmm::lcmm (e.g. mixture, classmb, idiag, nwg, link, intnodes, epsa, epsb, epsd, maxiter, B, convB, convL, convG, verbose).

Value

A list with $method = "lcmm::lcmm" and $raw (an lcmm object with the class-membership probabilities, class-specific fixed-effect estimates, and convergence diagnostics).

Examples

if (FALSE) { # \dontrun{
  if (requireNamespace("lcmm", quietly = TRUE)) {
    data("data_hlme", package = "lcmm")
    morie_lcmm_latent_class(
      fixed   = Y ~ Time,
      random  = ~ Time,
      subject = "ID",
      data    = data_hlme,
      ng      = 2,
      mixture = ~ Time
    )
  }
} # }