write_model_NoReg function

Write .bug model file for model without regression

write_model_NoReg automatically generates model file according to model_options

write_model_NoReg(
  k_subclass,
  Mobs,
  prior,
  cause_list,
  use_measurements,
  ppd = NULL,
  use_jags = FALSE
)

Arguments

• k_subclass: the number of subclasses for the slices that require conditional dependence modeling (only applicable to BrS data); its length is of the same value as the number of BrS slices.
• Mobs: measurement data in the form of data_nplcm
• prior: prior specification from model_options
• cause_list: a list of latent status names (crucial for building templates; see make_template())
• use_measurements: "BrS", or "SS"
• ppd: Default is NULL; set to TRUE for posterior predictive checking
• use_jags: Default is FALSE; set to TRUE if want to use JAGS for model fitting.

Returns

a long character string to be written into .bug file.

See Also

insert_bugfile_chunk_noreg_meas for inserting .bug file chunk for measurements (plug-and-play); insert_bugfile_chunk_noreg_etiology

for inserting .bug file chunk for distribution of latent status (etiology).

Other model generation functions: write_model_Reg_Nest(), write_model_Reg_NoNest(), write_model_Reg_discrete_predictor_NoNest()