internalModelPrep: Do internal model preparation for dynr

In dynr: Dynamic Models with Regime-Switching

Do internal model preparation for dynr

Description

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

Usage

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

Value

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

dynr documentation built on May 29, 2024, 2:49 a.m.