sim_cf_dens

`sim_cf_dens()` takes a list of power densities
and returns simulated counterfactual densities.

Spatio-temporal causal inference based on point process data.
You provide the raw data of locations and timings of treatment and
outcome events, specify counterfactual scenarios, and the package
estimates causal effects over specified spatial and temporal windows.
See Papadogeorgou, et al. (2022) <doi:10.1111/rssb.12548> and
Mukaigawara, et al. (2024) <doi:10.31219/osf.io/5kc6f>.

Mitsuru Mukaigawara

geocausal

Causal Inference with Spatio-Temporal Data

Lingxiao Zhou

Georgia Papadogeorgou

Jason Lyall

Kosuke Imai

sim_cf_dens function

<dl><dt>expected_number</dt>
<dd>the expected number of observations</dd>
<dt>base_dens</dt>
<dd>the baseline density (im object)</dd>
<dt>power_sim_results</dt>
<dd>the results obtained by `simulate_power_density()`</dd>
<dt>window</dt>
<dd>owin object</dd></dl>

Arguments

Simulate counterfactual densities — sim_cf_dens

<dl>

<dt>expected_number</dt>
<dd>the expected number of observations</dd>


<dt>base_dens</dt>
<dd>the baseline density (im object)</dd>


<dt>power_sim_results</dt>
<dd>the results obtained by `simulate_power_density()`</dd>


<dt>window</dt>
<dd>owin object</dd>

</dl>

sim_cf_dens: Simulate counterfactual densities

Description

Usage

Value

Arguments