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reckon.vicinity_mapes() is a reckon method that reckons a value by performing a calculation using data contained in an instance of a class. This method is implemented for the ready4 submodule class for tibble object that stores spatial simulation parameters relating to Mean Absolute Prediction Errors. The function returns Mean absolute prediction error (an output object of multiple potential types).

reckon.vicinity_parameters() is a reckon method that reckons a value by performing a calculation using data contained in an instance of a class. This method is implemented for the ready4 submodule class for tibble object that stores simulation structural parameters relating to the spatial environment. The function returns Value (an output object of multiple potential types).

Usage

reckon.vicinity_mapes(
  x,
  iter_1L_int = 1,
  n_its_int = 1,
  joint_dstr_1L_lgl = T,
  type_1L_chr = "outer"
)

# S4 method for vicinity_mapes
reckon(
  x,
  iter_1L_int = 1,
  n_its_int = 1,
  joint_dstr_1L_lgl = T,
  type_1L_chr = "outer"
)

reckon.vicinity_parameters(
  x,
  iter_1L_int = integer(0),
  n_its_int = integer(0),
  type_1L_chr = "outer"
)

# S4 method for vicinity_parameters
reckon(
  x,
  iter_1L_int = integer(0),
  n_its_int = integer(0),
  type_1L_chr = "outer"
)

Arguments

x

An instance of vicinity_parameters, a ready4 submodule class for tibble object that stores simulation structural parameters relating to the spatial environment.

iter_1L_int

Iteration (an integer vector of length one), Default: integer(0)

n_its_int

N its (an integer vector), Default: integer(0)

joint_dstr_1L_lgl

Joint distribution (a logical vector of length one), Default: T

type_1L_chr

Type (a character vector of length one), Default: 'outer'

Value

Mean absolute prediction error (an output object of multiple potential types)

Value (an output object of multiple potential types)