mlr.generate.Z.o

Utility function for generating interaction terms and step functions from a set of base covariates, to be used as candidate omitted covariates.

Core functions as well as diagnostic and calibration tools for combining matching and linear regression for causal inference in observational studies.

Alireza Mahani

MatchLinReg

Combining Matching and Linear Regression for Causal Inference

mlr.generate.Z.o function

<dl> <dt>X</dt>
<dd>Matrix of base covariates.</dd> <dt>interaction.order</dt>
<dd>Order of interactions to generate. It must be at least 2.</dd> <dt>step.funcs</dt>
<dd>Boolean flag, indicating whether (binary) step functions must be generated from continuous variables.</dd> <dt>step.thresh</dt>
<dd>Minimum number of distinct values in a numeric vector to generate step functions from.</dd> <dt>step.ncuts</dt>
<dd>How many cuts to apply for generating step functions.</dd></dl>

Arguments

Alireza S. Mahani, Mansour T.A. Sharabiani

Author

Generating omitted covariates from included covariates — mlr.generate.Z.o

<dl>

 <dt>X</dt>
<dd>Matrix of base covariates.</dd>

 <dt>interaction.order</dt>
<dd>Order of interactions to generate. It must be at least 2.</dd>

 <dt>step.funcs</dt>
<dd>Boolean flag, indicating whether (binary) step functions must be generated from continuous variables.</dd>

 <dt>step.thresh</dt>
<dd>Minimum number of distinct values in a numeric vector to generate step functions from.</dd>

 <dt>step.ncuts</dt>
<dd>How many cuts to apply for generating step functions.</dd>

</dl>

mlr.generate.Z.o: Generating omitted covariates from included covariates

Description

Usage

Value

Arguments

Author

References