mle_1ply: Make daily metabolism estimates from input parameters

In USGS-R/streamMetabolizer: Models for Estimating Aquatic Photosynthesis and Respiration

Make daily metabolism estimates from input parameters

Description

Called from metab_mle().

Usage

mle_1ply(
  data_ply,
  data_daily_ply,
  ply_date,
  ply_validity,
  timestep_days,
  ...,
  specs = specs("m_np_oi_tr_km.nlm")
)

Arguments

data_ply	a data.frame containing all relevant, validated modeling data for a single ply of data. (1 ply ~= 1 date, although the day length has been specified by day_start and day_end and may not be exactly 24 hours)
data_daily_ply	NULL or a data.frame containing inputs with a daily timestep.
ply_date	the modal date of this ply of data and data_daily, and the date by which this ply should be referred topresent.
ply_validity	the output of mm_is_valid_day as applied to this data_ply for those tests specified in day_tests. Those tests will have been run before this function is called. The result is TRUE if the ply is entirely valid, or a character vector containing one or more error messages if any tests failed.
timestep_days	numeric length of the mean timestep for this day, if requested by setting timestep_days to TRUE or a numeric value in the call to mm_model_by_ply
...	other args that were passed untouched from the function calling mm_model_by_ply, through mm_model_by_ply, and finally to this function.
specs	a list of model specifications and parameters for a model. Although this may be specified manually (it's just a list), it is easier and safer to use specs to generate the list, because the set of required parameters and their defaults depends on the model given in the model_name argument to specs. The help file for specs lists the necessary parameters, describes them in detail, and gives default values.

Value

data.frame of estimates and nlm model diagnostics

USGS-R/streamMetabolizer documentation built on Aug. 15, 2023, 7:50 a.m.