BayesERtools (version 0.2.0)

dev_ermod_bin: Develop linear ER model for binary or continuous endpoint

Description

These functions are used to develop an linear ER model with binary (dev_ermod_bin()) or continuous (dev_ermod_lin()) endpoint. You can also specify covariates to be included in the model.

Usage

dev_ermod_bin(
  data,
  var_resp,
  var_exposure,
  var_cov = NULL,
  verbosity_level = 1,
  chains = 4,
  iter = 2000
)
dev_ermod_lin(
  data,
  var_resp,
  var_exposure,
  var_cov = NULL,
  verbosity_level = 1,
  chains = 4,
  iter = 2000
)

Value

An object of class ermod_bin or ermod_lin.

Arguments

data

Input data for E-R analysis

var_resp

Response variable name in character

var_exposure

Exposure variable names in character

var_cov

Covariate variable names in character vector

verbosity_level

Verbosity level. 0: No output, 1: Display steps, 2: Display progress in each step, 3: Display MCMC sampling.

chains

Number of chains for Stan.

iter

Number of iterations for Stan.

Examples

data(d_sim_binom_cov_hgly2)

ermod_bin <- dev_ermod_bin(
  data = d_sim_binom_cov_hgly2,
  var_resp = "AEFLAG",
  var_exposure = "AUCss_1000",
  var_cov = "BHBA1C_5",
)

ermod_bin

data(d_sim_lin)

ermod_lin <- dev_ermod_lin(
  data = d_sim_lin,
  var_resp = "response",
  var_exposure = "AUCss",
  var_cov = c("SEX", "BAGE")
)

ermod_lin