create_bpc_object: Defines the class bpc and creates the bpc object. To create...

In bpcs: Bayesian Paired Comparison Analysis with Stan

Description

Defines the class bpc and creates the bpc object. To create we need to receive some defined parameters (the arguments from the bpc function), a lookup table and a the stanfit object generated from the rstan sampling procedure

Usage

create_bpc_object(
  stanfit,
  lookup_table,
  model_type,
  standata,
  call_arg,
  cluster_lookup_table = NULL,
  predictors_df = NULL,
  predictors_lookup_table = NULL,
  predictors_matrix = NULL
)

Arguments

stanfit	Stanfit object returned by rstan::sampling
lookup_table	lookup_table dataframe. Two columns one Index the other Names where each each index will match a string in the names
model_type	the type of the model used to call stan (string)
standata	a list with the data used to call the rstan::sampling procedure
call_arg	a list with the arguments called from the bpc function
cluster_lookup_table	a lookup table with we have random effects
predictors_df	the data frame of the predictors for a generalized model
predictors_lookup_table	a lookup table for generalized models
predictors_matrix	a matrix of predictors for generalized models

Value

a bpc object

bpcs documentation built on Dec. 15, 2020, 5:23 p.m.