dynr.cook: Cook a dynr model to estimate its free parameters

Description Usage Arguments Examples

Description

Cook a dynr model to estimate its free parameters

Usage

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dynr.cook(dynrModel, conf.level = 0.95, infile, verbose = TRUE,
  weight_flag = FALSE, debug_flag = FALSE)

Arguments

dynrModel

a dynr model compiled using dynr.model, consisting of recipes for submodels, starting values, parameter names, and C code for each submodel

conf.level

a cumulative proportion indicating the level of desired confidence intervals for the final parameter estimates (default is .95)

infile

(not required for models specified through the recipe functions) the name of a file that has the C codes for all dynr submodels for those interested in specifying a model directly in C

verbose

a flag (TRUE/FALSE) indicating whether more detailed intermediate output during the estimation process should be printed

weight_flag

a flag (TRUE/FALSE) indicating whether the negative log likelihood function should be weighted by the length of the time series for each individual

debug_flag

a flag (TRUE/FALSE) indicating whether users want additional dynr output that can be used for diagnostic purposes

Examples

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#fitted.model <- dynr.cook(model)


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