plot.est

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

plot.est function

<dl><dt>x</dt>
<dd>input</dd>
<dt>...</dt>
<dd>arguments passed on to the function</dd>
<dt>surface</dt>
<dd>whether to produce the surface plot. By default, FALSE</dd>
<dt>lim</dt>
<dd>limits of the scale. By default, NA. To set limits manually, provide a vector of max and min</dd></dl>

Arguments

Plot estimates — plot.est

<dl>

<dt>x</dt>
<dd>input</dd>


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


<dt>surface</dt>
<dd>whether to produce the surface plot. By default, FALSE</dd>


<dt>lim</dt>
<dd>limits of the scale. By default, NA. To set limits manually, provide a vector of max and min</dd>

</dl>

Plot estimates

plot.est: Plot estimates

Description

Usage

Arguments