Fit a baseline risk regression model

Fit a baseline risk regression model using bnma::network.run(). The output is consistent with outputs produced by gemtc.

Usage

baseline_model(
  configured_data,
  regressor_type,
  n_iter = 20000,
  max_iter = 60000,
  check_iter = 10000,
  async = FALSE
)

Arguments

configured_data

list. Input dataset created by setup_configure() or setup_exclude()

regressor_type

character. Type of regression coefficient, either shared, unrelated, or exchangeable

n_iter

numeric. Number of simulation iterations. Defaults to 20000 and can normally be left unchanged

max_iter

numeric. The maximum number of iterations. Defaults to 60000 and can normally be left unchanged.

check_iter

numeric. The number of iterations after which convergence is checked for. Defaults to 10000 and can normally be left unchanged.

async

Whether or not the function is being used asynchronously. Default FALSE

Value

List of bnma related output:

mtcResults

model object itself carried through (needed to match existing code)

covariate_value

The mean covariate value, used for centring

reference_treatment

character. The reference_treatmentfrom configured_data

comparator_names

Vector containing the names of the comparators

a

text output stating whether fixed or random effects

cov_value_sentence

text output stating the value for which the covariate has been set to for producing output

slopes

named list of slopes for the regression equations (unstandardised - equal to one 'increment')

intercepts

named list of intercepts for the regression equations at cov_value

outcome

character. The outcome from configured_data

outcome_measure

character. The outcome_measurefrom configured_data

effects

character. The effects from configured_data

covariate_min

Vector of minimum covariate values directly contributing to the regression

covariate_max

Vector of maximum covariate values directly contributing to the regression

dic

Summary of model fit

sumresults

Output of summary(model)

regressor

Type of regression coefficient

Examples

configured_data_path <- system.file("extdata", "configured_data.Rds", package = "metainsight")
configured_data <- readRDS(configured_data_path)

# n_iter, max_iter and check_iter are set low to run quickly, but should
# be left as the default values in real use

fitted_baseline_model <- baseline_model(configured_data = configured_data,
                                        regressor_type = "shared",
                                        n_iter = 120,
                                        max_iter = 120,
                                        check_iter = 10)