plot.obs

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.obs function

<dl><dt>x</dt>
<dd>input</dd>
<dt>...</dt>
<dd>arguments passed on to the function</dd>
<dt>dens_2</dt>
<dd>density 2 (if any). By default, `NA`.</dd>
<dt>dens_3</dt>
<dd>density 3 (if any). By default, `NA`.</dd>
<dt>time_unit</dt>
<dd>x-axis label of the output</dd>
<dt>combined</dt>
<dd>whether to combine the two plots. By default, TRUE. If TRUE,
then the plot function produces one ggplot object. If FALSE, three objects (two ggplot and one dataframe) will be produced.</dd></dl>

Arguments

Plot observed densities — plot.obs

<dl>

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


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


<dt>dens_2</dt>
<dd>density 2 (if any). By default, `NA`.</dd>


<dt>dens_3</dt>
<dd>density 3 (if any). By default, `NA`.</dd>


<dt>time_unit</dt>
<dd>x-axis label of the output</dd>


<dt>combined</dt>
<dd>whether to combine the two plots. By default, TRUE. If TRUE,
then the plot function produces one ggplot object. If FALSE, three objects (two ggplot and one dataframe) will be produced.</dd>

</dl>

Plot observed densities

plot.obs: Plot observed densities

Description

Usage

Arguments