Generic BRM model with fitting defaults set

A generic model used to define default brms settings to be used across all models investigated.

Base_Model(Predictors = NULL, ModelFamily, Data = NULL, SetIter = NULL,
  SetBurn = NULL, SetCores = NULL, Chains = 4, SetThin = 1,
  Silent = TRUE, SaveModel = TRUE, AdaptDelta = NULL, MaxTree = NULL)

Arguments

Predictors	A character vector of variables to use as features
ModelFamily	A character string containing the model family to fit.
Data	A dataframe of the data to fit to.
SetIter	Numeric, define the number of iterations
SetBurn	Numeric, define the number of burn in iterations
SetCores	Numeric, set the number of cores to use.
Chains	Numeric, set the number of chains to use for MCMC
SetThin	Nuemeric, set the number of iterations to thin over.
Silent	Logical, defaults to TRUE. Should the results be returned without progress messages.
SaveModel	Logical, defaults to TRUE. Should the model output be saved
AdaptDelta	Numeric, adaptive delta to use
MaxTree	Numeric, the maximum number of trees.

Value

A brm fitted model.

See also

ModelConstruct

Examples