write_pattern {missingHE}

An internal function to select which type of pattern mixture model to execute. Alternatives vary depending on the type of distribution assumed for the effect and cost variables, type of missingness mechanism assumed and independence or joint modelling This function selects which type of model to execute.

Description

An internal function to select which type of pattern mixture model to execute. Alternatives vary depending on the type of distribution assumed for the effect and cost variables, type of missingness mechanism assumed and independence or joint modelling This function selects which type of model to execute.

Usage

write_pattern(
  type,
  dist_e,
  dist_c,
  pe_fixed,
  pc_fixed,
  ind_fixed,
  pe_random,
  pc_random,
  ind_random,
  model_e_random,
  model_c_random,
  d_list,
  d1,
  d2,
  restriction
)

Arguments

type

Type of missingness mechanism assumed. Choices are Missing At Random (MAR), Missing Not At Random for the effects (MNAR_eff), Missing Not At Random for the costs (MNAR_cost), and Missing Not At Random for both (MNAR)

dist_e

Distribution assumed for the effects. Current available choices are: Normal ('norm'), Beta ('beta'), Gamma ('gamma'), Exponential ('exp'), Weibull ('weibull'), Logistic ('logis'), Poisson ('pois'), Negative Binomial ('nbinom') or Bernoulli ('bern')

dist_c

Distribution assumed for the costs. Current available choices are: Normal ('norm'), Gamma ('gamma') or LogNormal ('lnorm')

pe_fixed

Number of fixed effects for the effectiveness model

pc_fixed

Number of fixed effects for the cost model

ind_fixed

Logical; if TRUE independence between effectiveness and costs is assumed, else correlation is accounted for

pe_random

Number of random effects for the effectiveness model

pc_random

Number of random effects for the cost model

ind_random

Logical; if TRUE independence at the level of the random effects between effectiveness and costs is assumed, else correlation is accounted for

model_e_random

Random effects formula for the effectiveness model

model_c_random

Random effects formula for the costs model

d_list

Number and type of patterns

d1

Pattern indicator in the control

d2

Pattern indicator in the intervention

restriction

type of identifying restriction to be imposed

Examples

# Internal function only
# No examples
#
#