R: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

# Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

## Documentation for package ‘pCODE’ version 0.9.4

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

## Help Pages

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.