plot.ppplist

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.ppplist function

<dl><dt>x</dt>
<dd>input</dd>
<dt>...</dt>
<dd>arguments passed on to the function</dd>
<dt>frame</dt>
<dd>the element number of the list object (by default, 1)</dd>
<dt>main</dt>
<dd>title</dd>
<dt>combined</dt>
<dd>logical. `combined` specifies whether to combine all the point processes to one plot.
This argument applies only to the case when users specify one column with multiple time periods.
By default = TRUE</dd></dl>

Arguments

Plot point pattern (list) — plot.ppplist

<dl>

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


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


<dt>frame</dt>
<dd>the element number of the list object (by default, 1)</dd>


<dt>main</dt>
<dd>title</dd>


<dt>combined</dt>
<dd>logical. `combined` specifies whether to combine all the point processes to one plot.
This argument applies only to the case when users specify one column with multiple time periods.
By default = TRUE</dd>

</dl>

Plot point pattern (list)

plot.ppplist: Plot point pattern (list)

Description

Usage

Arguments