Update an AME / LAME fit

S3 method for update that re-fits the model with modified arguments. Reuses the original call recorded in fit$call. If the fit was produced with freeze_call = TRUE, the data snapshot on fit$data_snapshot is used in place of looking up names in the caller's environment.

Usage

# S3 method for class 'ame'
update(object, ..., evaluate = TRUE)

# S3 method for class 'lame'
update(object, ..., evaluate = TRUE)

Arguments

object

A fitted ame or lame object.

...

Named arguments to overwrite in the original call (e.g. nscan = 5000, dynamic_beta = TRUE, R = 2).

evaluate

Logical: if TRUE (default), evaluate the updated call and return the new fit; if FALSE, return the unevaluated call.

Value

A new fitted object, or (when evaluate = FALSE) the modified call.

Examples

# \donttest{
data(YX_bin_list)
fit <- lame(YX_bin_list$Y, YX_bin_list$X, family = "binary",
            burn = 5, nscan = 20, odens = 1, verbose = FALSE)
#> Warning: `family` = "binary" but `Y` contains values other than 0/1.
#> ℹ `Y` will be thresholded to `1 * (Y > 0)`; if you meant counts, use "poisson",
#>   or "ordinal"/"normal" as appropriate.
# toggle dynamic_beta on without rewriting the whole call
fit_dyn <- update(fit, dynamic_beta = "dyad")
#> Warning: `family` = "binary" but `Y` contains values other than 0/1.
#> ℹ `Y` will be thresholded to `1 * (Y > 0)`; if you meant counts, use "poisson",
#>   or "ordinal"/"normal" as appropriate.
dim(fit_dyn$BETA)  # 3-D now
#> [1] 20  4  4
# }