Create Transition-Predictor Relationship Table

Creates a trans_preds_t table based on the relationships between transitions and predictors. This function establishes which predictors are useful for modelling each transition type.

Usage

as_trans_preds_t(x)

# S3 method for class 'trans_preds_t'
print(x, nrow = 10, ...)

set_full_trans_preds(self, overwrite = FALSE)

get_pruned_trans_preds_t(
  self,
  filter_fun = covariance_filter,
  cluster = NULL,
  ordered_pred_data = FALSE,
  ...
)

Arguments

nrow: see data.table::print.data.table
...: passed to data.table::print.data.table
overwrite: Bool, should a potentially existing table be overwritten?
filter_fun: A function that takes a transition-predictor data (cf. trans_pred_data_v) and returns a character vector of column names to keep, see e.g. covariance_filter
cluster: An optional cluster object, see run_parallel_evoland
ordered_pred_data: Bool, should the predictor data be ordered? needed for fully deterministic behavior
db: An evoland_db instance with populated trans_meta_t and pred_meta_t tables
na_value: Value to use for missing data when retrieving predictor data

Value

A data.table of class "trans_preds_t" with columns:

id_run: Foreign key to runs_t
id_pred: Foreign key to pred_meta_t
id_trans: Foreign key to trans_meta_t

Methods (by generic)

print(trans_preds_t): Print a trans_preds_t object, passing params to data.table print

Functions

set_full_trans_preds(): Set an initial full set of transition / predictor relations
get_pruned_trans_preds_t(): Get a pruned set of transition-predictor relationships based on a filtering function