update.dynamitefit: Update a 'dynamite' Model

In santikka/dynamite: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data

Update a dynamite Model

Description

Note that using a different backend for the original model fit and when updating can lead to an error due to different naming in cmdstanr and rstan sampling arguments.

Usage

## S3 method for class 'dynamitefit'
update(
  object,
  dformula = NULL,
  data = NULL,
  priors = NULL,
  recompile = NULL,
  ...
)

Arguments

object	[dynamitefit] The model fit object.
dformula	[dynamiteformula] Updated model formula. By default the original formula is used.
data	[data.frame, tibble::tibble, or data.table::data.table] Data for the updated model. By default original data is used.
priors	[data.frame] Updated priors. By default the priors of the original model are used.
recompile	[logical(1)] Should the model be recompiled? If NULL (default), tries to avoid recompilation. Recompilation is forced when the model formula or the priors are changed, or if the new data contains missing values in a channel which did not contain missing values in the original data. Recompilation is also forced in case the backend previous or new backend is cmdstanr.
...	Additional parameters to dynamite.

Value

An updated dynamitefit object.

See Also

Model fitting dynamice(), dynamite(), get_priors()

Examples

data.table::setDTthreads(1) # For CRAN
## Not run: 
# re-estimate the example fit without thinning:
# As the model is compiled on Windows, this will fail on other platforms
if (identical(.Platform$OS.type, "windows")) {
  fit <- update(gaussian_example_fit, thin = 1)
}

## End(Not run)

santikka/dynamite documentation built on April 17, 2025, 11:47 a.m.