predict_obs_dens {geocausal}

Perform out-of-sample prediction

Description

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

Usage

predict_obs_dens(hfr, ratio, dep_var, indep_var, ngrid = 100, window)

Arguments

hfr

hyperframe

ratio

numeric. ratio between training and test sets

dep_var

dependent variables

indep_var

independent variables

ngrid

the number of grids. By default, '100'.

window

owin object

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