Update MB Model — update

Updates an object inherting from class mb_model.

Usage

update_model(
  model,
  code = NULL,
  gen_inits = NULL,
  random_effects = NULL,
  fixed = NULL,
  derived = NULL,
  select_data = NULL,
  center = NULL,
  scale = NULL,
  modify_data = NULL,
  nthin = NULL,
  new_expr = NULL,
  new_expr_vec = NULL,
  modify_new_data = NULL,
  drops = NULL,
  ...
)

Arguments

model: The model to update.
code: A string of the model template or an object inheriting from class mb_code.
gen_inits: A single-argument function returning a named list of initial values per chain. Receives the modified data list (i.e. after select_data, rescaling, type coercion, factor-count and nObs injection, and modify_data). Returning list() lets the backend fall back to its own defaults (JAGS samples from priors; Stan uses its random init). Non-MCMC cmdstan-* engines ignore it.
random_effects: Named list mapping parameter names in the model code to one or more grouping factor columns from select_data. Each named factor must appear in select_data and must not also be in derived.
fixed: A string of a regular expression of parameter names to monitor as fixed effects.
derived: A character vector of derived parameters to monitor.
select_data: A named list specifying the columns to select and their expected classes and values as well as transformations and scaling options. See the select_data section of model().
center: A character vector of the columns to center.
scale: A character vector of the columns to scale (after centering).
modify_data: A single argument function to modify the data (in list form) immediately prior to the analysis.
nthin: An integer specifying the thinning interval.
new_expr: An R expression or character string of R code defining the predictive relationships and derived quantities. See the new_expr section of model().
new_expr_vec: Flag controlling whether to vectorise the new_expr code via mcmcderive::expression_vectorize(). See the new_expr section of model() for safe patterns and silent fallbacks.
modify_new_data: SA single argument function to modify new data (in list form) immediately prior to calculating new_expr.
drops: A list of character vectors naming scalar parameters to fix at 0 in the model.
...: These dots are for future extensions and must be empty.

Value

An object inheriting from class mb_model.