plot.weights

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.weights function

<dl><dt>x</dt>
<dd>input</dd>
<dt>...</dt>
<dd>arguments passed on to the function</dd>
<dt>type_weights</dt>
<dd>the type of weights to plot.
- If 'plot_weights' is `standardized`, histogram of standardized weights will be generated.
- If 'plot_weights' is `unstandardized`, histogram of unstandardized weights will be generated.
Default is `standardized`.</dd>
<dt>binwidth</dt>
<dd>bin width of the histogram. Default is NULL</dd></dl>

Arguments

Plot weights — plot.weights

<dl>

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


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


<dt>type_weights</dt>
<dd>the type of weights to plot.
- If 'plot_weights' is `standardized`, histogram of standardized weights will be generated.
- If 'plot_weights' is `unstandardized`, histogram of unstandardized weights will be generated.
Default is `standardized`.</dd>


<dt>binwidth</dt>
<dd>bin width of the histogram. Default is NULL</dd>

</dl>

Plot weights

plot.weights: Plot weights

Description

Usage

Arguments