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>.

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>actual_data</dt>
<dd>actual data in the form of `hyperframe$column`.</dd>
<dt>time_unit</dt>
<dd>x-axis label of the output</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>actual_data</dt>
<dd>actual data in the form of `hyperframe$column`.</dd>


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

</dl>

Plot observed densities

plot.obs: Plot observed densities

Description

Usage

Arguments