estimate_T_priego_5days: Estiamte parameters for 5 day windows around iday and predict...
In bgctw/etpart: Partitioning evapotranspiration into transpiration and evaporation

Estiamte parameters for 5 day windows around iday and predict for iday

estimate_T_priego_5days(
  data,
  iday,
  chi_o,
  WUE_o,
  config = priego_config(),
  par_start = NULL,
  ...
)

`data`	data.frame entire dataset
`iday`	cumday to process
`chi_o`	long-term internal leaf to ambient CO2 concentration
`WUE_o`	long-term water use efficiency
`config`	configuration passed to `optim_priego`
`par_start`	starting parameters, may pass from last day for efficiency
`...`	passed to optim_priego and predict_transpiration_opriego

list with entries

`data`	data.frame for given day with added/updated columns T (mm/hr), T_sd, GPP_pred, and GPP_pred_sd
`paropt`	numeric vector of mean parameters (not the best estimates)