prepdata_bayes: Prepare data for passing to Stan

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

Prepare data for passing to Stan

Description

This function accepts pre-validated data (though more problems may be discovered here). It prepares the data needed to run a Bayesian MCMC method to estimate GPP, ER, and K600.

Usage

prepdata_bayes(data, data_daily, ply_date = NA, specs)

Arguments

data	data.frame (not a tbl_df) of input data at the temporal resolution of raw observations (unit-value). Columns must have the same names, units, and format as the default. The solar.time column must also have a timezone code ('tzone' attribute) of 'UTC'. See the 'Formatting data' section below for a full description.
data_daily	data.frame containing inputs with a daily timestep. See the 'Formatting data_daily' section below for a full description.
ply_date	the modal date of this ply of data and data_daily, and the date by which this ply should be referred topresent.
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

list of data for input to runstan_bayes

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