write_lmdm: An internal function to select which type of longitudinal...

In missingHE: Missing Outcome Data in Health Economic Evaluation

An internal function to select which type of longitudinal missing data 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 longitudinal missing data 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_lmdm(dist_e, dist_c, type, model_txt_info)

Arguments

dist_e	Distribution assumed for the effects. Current available choices are: Normal ('norm'), Beta ('beta'), Gamma ('gamma'), Exponential ('exp'), Weibull ('weib'), Logistic ('logis'), Poisson ('pois'), Negative Binomial ('negbin') or Bernoulli ('bern')
dist_c	Distribution assumed for the costs. Current available choices are: Normal ('norm'), Gamma ('gamma') or LogNormal ('lnorm')
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)
model_txt_info	list containing model specification information used to write the txt file of the JAGS model.

Examples

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missingHE documentation built on March 19, 2026, 5:06 p.m.