unconstrained.unpenalized

Estimate unconstrained model parameters.

Fits the MESSI, hard constraint, and unconstrained models in Boss
et al. (2023) <doi:10.48550/arXiv.2306.17347> for mediation analyses with external
summary-level information on the total effect.

Michael Kleinsasser

messi

Mediation with External Summary Statistic Information

Jonathan Boss

Bhramar Mukherjee

unconstrained.unpenalized function

<dl><dt>Y</dt>
<dd>A (n x 1) continuous outcome vector.</dd>
<dt>M</dt>
<dd>A (n x p_m) matrix of mediators.</dd>
<dt>A</dt>
<dd>A (n x 1) vector of exposures.</dd>
<dt>C</dt>
<dd>A (n x p_c) matrix of confounders and adjustment covariates. If there are no confounders or adjustment covariates set C = NULL.</dd></dl>

Arguments

Estimate unconstrained model parameters. — unconstrained.unpenalized

<dl>

<dt>Y</dt>
<dd>A (n x 1) continuous outcome vector.</dd>


<dt>M</dt>
<dd>A (n x p_m) matrix of mediators.</dd>


<dt>A</dt>
<dd>A (n x 1) vector of exposures.</dd>


<dt>C</dt>
<dd>A (n x p_c) matrix of confounders and adjustment covariates. If there are no confounders or adjustment covariates set C = NULL.</dd>

</dl>

unconstrained.unpenalized: Estimate unconstrained model parameters.

Description

Usage

Value

Arguments