run_mlwin: run_mlwin

In tessaleejohnson/corclus: Simulate Data from the Correlated Cluster Multiple Membership Model

run_mlwin

Description

This function calls runMLwiN to estimate the model.

Usage

run_mlwin(
  .dat,
  .model_formula = as.formula("y ~ 1 + (1 | sch_id_1) + (1 | stu_id)"),
  .outcome_dist = c("Normal", "Binomial", "Poisson", "Negbinom", "Unordered Multinomial",
    "Ordered Multinomial", "Multivariate Normal", "Mixed"),
  .mcmc_burn = 100,
  .mcmc_iter = 1000,
  .mcmc_nchains = 1,
  .mm_list = NULL,
  .progress_bar = NULL,
  ...
)

Arguments

.dat	A dataframe produced by generate_data.
.model_formula	A formula object.
.outcome_dist	A string. Defaults to "Normal". See the D argument in runMLwiN.
.mcmc_burn	Numeric. Defaults to 100.
.mcmc_iter	Numeric. Defaults to 1000.
.mcmc_nchains	Numeric. Defaults to 1.
.mm_list	A list. Generated by build_mm_list.
.progress_bar	Internal argument passed from run_sim. If .progress_bar = TRUE in the external run_sim function, then a progress bar will be displayed while executing this code. The arguments in this internal function defaults to NULL.
...	Other parameters passed to the progressor update.

Value

Returns a model object produced by runMLwiN.

tessaleejohnson/corclus documentation built on Oct. 11, 2022, 3:46 a.m.