get_em_vec

`get_em_vec()` get the vector form of a column of a hyperframe that summarizes the effect modifier data in heterogeneity analysis

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

get_em_vec function

<dl><dt>em</dt>
<dd>column of a hyperframe that summarizes effect modifier data. In the form of `hyperframe$column`.</dd>
<dt>time_after</dt>
<dd>whether to include one unit time difference between treatment and outcome. By default = TRUE</dd>
<dt>lag</dt>
<dd>integer that specifies lags to calculate causal estimates</dd>
<dt>entire_window</dt>
<dd>owin object (the entire region of interest). If given, then the values outside the region will be set to `NA`.</dd>
<dt>ngrid</dt>
<dd>a number or a vector of two numbers that specify the dimension of pixels. If NULL, the pixel dimension of the original
images will not be changed</dd></dl>

Arguments

convert a list of im objects to a vector — get_em_vec

<dl>

<dt>em</dt>
<dd>column of a hyperframe that summarizes effect modifier data. In the form of `hyperframe$column`.</dd>


<dt>time_after</dt>
<dd>whether to include one unit time difference between treatment and outcome. By default = TRUE</dd>


<dt>lag</dt>
<dd>integer that specifies lags to calculate causal estimates</dd>


<dt>entire_window</dt>
<dd>owin object (the entire region of interest). If given, then the values outside the region will be set to `NA`.</dd>


<dt>ngrid</dt>
<dd>a number or a vector of two numbers that specify the dimension of pixels. If NULL, the pixel dimension of the original
images will not be changed</dd>

</dl>

get_em_vec: convert a list of im objects to a vector

Description

Usage

Arguments

Details