geocausal (version 0.4.0)

dx_outpred: Perform out-of-sample prediction

Description

`dx_outpred()` performs out-of-sample prediction (separating data into training and test sets). It assumes that training and test sets have the same window.

Usage

dx_outpred(
  hfr,
  ratio,
  dep_var,
  indep_var,
  ndim = 128,
  resolution = NULL,
  window
)

Value

list of the following: * `indep_var`: independent variables * `coef`: coefficients * `intens_grid_cells`: im object of observed densities for each time period * `estimated_counts`: the number of events that is estimated by the poisson point process model for each time period * `sum_log_intens`: the sum of log intensities for each time period * `training_row_max`: the max row ID of the training set

Arguments

hfr

hyperframe

ratio

numeric. ratio between training and test sets

dep_var

dependent variables

indep_var

independent variables

ndim

the number of grids. By default, `128` (128 x 128).

resolution

the resolution in km per pixel. If specified, overrides `ndim`. For example, `resolution = 5` creates ~5km x 5km grid cells.

window

owin object