internalModelPrep

num_regime

An integer number of the latent variables.

dim_latent_var

The starting values for parameter estimation.

xstart

The upper bounds of the estimated parameters.

The lower bounds of the estimated parameters.

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.

options

A binary flag indicating whether the model is a continuous-time model (FALSE/0 = no; TRUE/1 = yes)

isContinuousTime

infile

outfile

compileLib

verbose


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


Dynamic modeling of all kinds in R. These include models of
processes in discrete time or continuous time. They also include processes
that are linear or nonlinear. Latent variables can be continuous (e.g. state
space models) or discrete (e.g. regime-switching models). The general approach
involves maximum likelihood estimation of single- and multi-subject models of
latent time series with the extended Kalman filter and Kim filter. The user
provides recipes and data which are combined into a model that is then cooked to
obtain free parameter estimates.

internalModelPrep: Do internal model preparation for dynr

Description

Usage

Arguments

Value