internalModelPrep function

Do internal model preparation for dynr

Principally, this function takes a host of arguments and gives back a list that importantly includes the function addresses.

internalModelPrep(num_regime, dim_latent_var, xstart, ub, lb,
  options = default.model.options, isContinuousTime, infile, outfile,
  compileLib, verbose)

Arguments

• num_regime: An integer number of the regimes.
• dim_latent_var: An integer number of the latent variables.
• xstart: The starting values for parameter estimation.
• ub: The upper bounds of the estimated parameters.
• lb: The lower bounds of the estimated parameters.
• options: A list of NLopt estimation options. By default, xtol_rel=1e-7, stopval=-9999, ftol_rel=-1, ftol_abs=-1, maxeval=as.integer(-1), and maxtime=-1.
• isContinuousTime: A binary flag indicating whether the model is a continuous-time model (FALSE/0 = no; TRUE/1 = yes)
• infile: Input file name
• outfile: Output file name
• compileLib: Whether to compile the libary anew
• verbose: Logical flag for verbose output

Returns

A list of model statements to be passed to dynr.cook().