Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

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Documentation for package ‘pCODE’ version 0.9.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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bootsvar	Bootstrap variance estimator of structural parameters.
deltavar	Numeric estimation of variance of structural parameters by Delta method.
innerobj	Inner objective function (Single dimension version)
innerobj_lkh	Inner objective function (likelihood and multiple dimension version)
innerobj_lkh_1d	Inner objective function (Likelihood and Single dimension version)
innerobj_multi	Inner objective function (multiple dimension version)
innerobj_multi_missing	Inner objective function (multiple dimension version with unobserved state variables)
nls_optimize	Optimizer for non-linear least square problems
nls_optimize.inner	Optimizer for non-linear least square problems (for inner objective functions)
outterobj	Outter objective function (Single dimension version)
outterobj_lkh	Outter objective function (likelihood and multiple dimension version)
outterobj_lkh_1d	Outter objective function (likelihood and single dimension version)
outterobj_multi_missing	Outter objective function (multiple dimension version with unobserved state variables)
outterobj_multi_nls	Outter objective function (multiple dimension version)
pcode	Parameter Cascade Method for Ordinary Differential Equation Models
pcode_1d	Parameter Cascade Method for Ordinary Differential Equation Models (Single dimension version)
pcode_lkh	pcode_lkh (likelihood and multiple dimension version)
pcode_lkh_1d	Parameter Cascade Method for Ordinary Differential Equation Models (likelihood and Single dimension version)
pcode_missing	Parameter Cascade Method for Ordinary Differential Equation Models with missing state variable
prepare_basis	Evaluate basis objects over observation times and quadrature points
tunelambda	Find optimial penalty parameter lambda by cross-validation.