print.est

`print` functions take the output and print the summary of it.

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

print.est function

<dl><dt>x</dt>
<dd>an output object</dd>
<dt>...</dt>
<dd>arguments passed on to the function</dd></dl>

Arguments

Print results — print.est

<dl>

<dt>x</dt>
<dd>an output object</dd>


<dt>...</dt>
<dd>arguments passed on to the function</dd>

</dl>

print.est: Print results

Description

Usage

Arguments

Details