R/utils-create_model-covariates.R
create_model.covs_and_comps.RdParse the covariates and model components from given data and formula
create_model.covs_and_comps(data, model_formula, x_cont_scl, verbose)A data.frame where each column corresponds to one
variable, and each row is one observation. Continuous covariates and the
response variable must have type "numeric" and categorical covariates
must have type "factor". Missing values should be indicated with
NaN or NA. The response variable cannot contain missing
values. Column names should not contain trailing or leading underscores.
an object of class lgpformula
Information on how to scale the continuous covariates. This can either be
an existing list of objects with class lgpscaling, or
NA, in which case such list is created by computing mean
and standard deviation from data
Should some informative messages be printed?
parsed input to Stan and covariate scaling, and other info
Other internal model creation functions:
create_model.formula(),
create_model.likelihood(),
create_model.prior()