compute_fitted_mean: Compute estimated concentration

In jpkeller/bercs: Bayesian Exposure-Response Curves via Stan

Description

Calculates the posterior mean exposure concentrations.

Usage

compute_fitted_mean(
  stanfit,
  standata,
  parvalues = NULL,
  include_time = TRUE,
  include_reI = TRUE,
  exp_transform = FALSE,
  add = FALSE,
  ...
)

Arguments

stanfit	Fitted STAN model object containing posterior samples of parameters; from sample_exposure_model.
standata	List containing model structure information corresponding to stanfit. Typically a list of class standata_exposure. However, it may be any list (or data frame) containing cluster_of_obs (if etaK was sampled in stanfit), group_of_obs (if etaK was not sampled in stanfit), unit_of_obs (if include_reI=TRUE), and Mt (if include_time=TRUE). This may be useful when calculating fitted means for records at different times from the observations used to fit the model.
parvalues	List of parameter values to use for computing means. Not needed if stanfit is provided.
include_time	Logical indicator of whether time should be included.
include_reI	Logical indicator of whether the unit-level random effect should be included.
exp_transform	Logical indicator of whether concentrations should be exponentiated.
add	Logical indicator of whether the modeled means should be added to standata or just returned directly (the default).
...	Additional arugments passed to extract.

See Also

plot_exposure_means_bytime, sample_exposure_model

jpkeller/bercs documentation built on March 24, 2021, 5:36 a.m.