dynr: internalModelPrep – R documentation

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internalModelPrep

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

Dynamic Models with Regime-Switching

v0.1.16-2

GPL-3

Authors

Lu Ou [aut], Michael D. Hunter [aut, cre] (<https://orcid.org/0000-0002-3651-6709>), Sy-Miin Chow [aut] (<https://orcid.org/0000-0003-1938-027X>), Linying Ji [aut], Meng Chen [aut], Hui-Ju Hung [aut], Jungmin Lee [aut], Yanling Li [aut], Jonathan Park [aut], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Benoit Scherrer [cph], Dieter Kraft [cph]

Initial release

2021-03-12