write_hurdle: An internal function to select which type of hurdle model to execute for both effectiveness and costs. Alternatives vary depending on the type of distribution assumed for the effect and cost variables, type of structural value 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 hurdle model to execute for both effectiveness and costs. Alternatives vary depending on the type of distribution assumed for the effect and cost variables, type of structural value mechanism assumed and independence or joint modelling This function selects which type of model to execute.

Usage

write_hurdle(
  dist_e,
  dist_c,
  type,
  pe_fixed,
  pc_fixed,
  ze_fixed,
  zc_fixed,
  ind_fixed,
  pe_random,
  pc_random,
  ze_random,
  zc_random,
  ind_random,
  model_e_random,
  model_c_random,
  model_se_random,
  model_sc_random,
  se,
  sc
)

Arguments

dist_e: Distribution assumed for the effects. Current available chocies 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 chocies are: Normal ('norm'), Gamma ('gamma') or LogNormal ('lnorm')
type: Type of structural value mechanism assumed. Choices are Structural Completely At Random (SCAR) and Structural At Random (SAR)
pe_fixed: Number of fixed effects for the effectiveness model
pc_fixed: Number of fixed effects for the cost model
ze_fixed: Number of fixed effects or the structural indicators model for the effectiveness
zc_fixed: Number of fixed effects or the structural indicators model for the costs
ind_fixed: Logical; if TRUE independence at the level of the fixed effects 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
ze_random: Number of random effects or the structural indicators model for the effectiveness
zc_random: Number of random effects or the structural indicators model for the costs
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
model_se_random: Random effects formula for the structural indicators model for the effectiveness
model_sc_random: Random effects formula for the structural indicators model for the costs
se: Structural value for the effectiveness
sc: Structural value for the costs

Examples

Run this code

#Internal function only
#No examples
#
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