ldmppr-internal: Internal helpers (not part of the public API)

In ldmppr: Estimate and Simulate from Location Dependent Marked Point Processes

Internal helpers (not part of the public API)

Description

These functions are used internally by ldmppr and are not intended to be called directly by users.

Usage

new_ldmppr_model_check(
  combined_env,
  envs,
  curve_sets,
  sim_metrics = NULL,
  settings = list(),
  call = NULL
)

new_ldmppr_sim(
  process,
  mpp,
  realization,
  params,
  bounds,
  anchor_point,
  thinning,
  edge_correction,
  include_comp_inds,
  competition_radius,
  call = NULL,
  meta = list()
)

new_ldmppr_mark_model(
  engine,
  fit_engine = NULL,
  xgb_raw = NULL,
  recipe = NULL,
  outcome = "size",
  feature_names = NULL,
  rasters = NULL,
  info = list()
)

new_ldmppr_fit(
  process,
  fit,
  fits = NULL,
  mapping = NULL,
  settings = NULL,
  grid = NULL,
  data_summary = NULL,
  data = NULL,
  data_original = NULL,
  engine = "nloptr",
  call = NULL,
  timing = NULL
)

preprocess_new_data(object, new_data)

rehydrate_xgb(object)

as_mark_model(mark_model)

.build_sc_matrix(data, delta = NULL)

.default_sc_param_bounds(txy, upper_bounds)

a %||% b

.require_pkgs(pkgs)

.coerce_training_df(x, delta = NULL, xy_bounds = NULL)

infer_xy_bounds_from_ppp(ppp)

infer_anchor_from_ppp(ppp)

infer_anchor_from_df(df)

resolve_sc_params(process_fit)

resolve_reference_ppp(reference_data, process_fit, xy_bounds)

.as_sc_params(process_fit)

.infer_xy_bounds(process_fit)

.infer_anchor_point(process_fit)

new_ldmppr_budgets(
  global_options,
  local_budget_first_level,
  local_budget_refinement_levels = NULL
)

is_ldmppr_budgets(x)

as_ldmppr_budgets(x, ...)

.validate_ldmppr_budgets(b)

new_ldmppr_grids(levels, upper_bounds, labels = NULL, include_endpoints = TRUE)

is_ldmppr_grids(x)

as_ldmppr_grids(x, ...)

.validate_ldmppr_grids(g)

.ldmppr_make_grid_schedule(
  upper_bounds,
  levels,
  labels = NULL,
  include_endpoints = TRUE
)

infer_rasters_from_mark_model(mm)

infer_scaled_flag_from_mark_model(mm)

.apply_resid_bootstrap(mu, rb)

.inv_transform(z, transform)

.inv_powerlaw_time_to_size(t, smin, smax, delta)

.build_mark_predictors(
  sim_realization,
  raster_list,
  scaled_rasters,
  xy_bounds,
  include_comp_inds,
  competition_radius,
  edge_correction
)

.predict_marks_legacy(
  sim_realization,
  raster_list,
  scaled_rasters,
  mark_model,
  xy_bounds,
  include_comp_inds,
  competition_radius,
  edge_correction,
  seed = NULL
)

ldmppr documentation built on March 3, 2026, 9:06 a.m.