summary.cate

`summary` functions take the output and summarize it.

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

summary.cate function

<dl><dt>object</dt>
<dd>an output object</dd>
<dt>...</dt>
<dd>arguments passed on to the function</dd>
<dt>significance_level</dt>
<dd>Numeric scalar between 0 and 1, inclusive, representing the significance level for the chi-square test. The test is used to determine whether at least one of the coefficients (except the intercept) is not equal to 0. Default is 0.05</dd></dl>

Arguments

Summarize results — summary.cate

<dl>

<dt>object</dt>
<dd>an output object</dd>


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


<dt>significance_level</dt>
<dd>Numeric scalar between 0 and 1, inclusive, representing the significance level for the chi-square test. The test is used to determine whether at least one of the coefficients (except the intercept) is not equal to 0. Default is 0.05</dd>

</dl>

summary.cate: Summarize results

Description

Usage

Arguments

Details