Do internal model preparation for dynr

Share:

Description

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

Usage

1
2
3
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().

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.