Reshape TMB estimates — reshape_tmb

This function processes the TMB std and reshapes them into a structured tibble for easier analysis and manipulation.

Usage

reshape_tmb_estimates(
  obj,
  sdreport = NULL,
  opt = NULL,
  parameter_names,
  precomputed_gradient = NULL
)

obj: An object returned from TMB::MakeADFun().
sdreport: An object of the sdreport class as returned from TMB::sdreport().
opt: An object returned from an optimizer, typically from stats::nlminb(), used to fit a TMB model. If the model is not optimized, opt is an empty list and is not used in the function.
parameter_names: A character vector of parameter names. This is used to identify the parameters in the std object.
precomputed_gradient: A numeric vector of pre-computed gradient values at the MLE, typically from get_gradient(x). When provided, this avoids a second call to obj[["gr"]](), which would crash after clear() has freed the C++ memory. If NULL (default), the gradient is computed directly from obj[["gr"]](opt[["par"]]).

A tibble containing the reshaped estimates (i.e., parameters and derived quantities).