liSim

This function generates synthetic data for user tracked menstrual cycles for a
single individual using the li model. For this model Beta0 = log(30), and Gamma0 doesn't really make sense.

Implements a Bayesian hierarchical model designed to identify skips in mobile menstrual cycle self-tracking on mobile apps. Future developments will allow for the inclusion of covariates affecting cycle mean and regularity, as well as extra information regarding tracking non-adherence. Main methods to be outlined in a forthcoming paper, with alternative models from Li et al. (2022) <doi:10.1093/jamia/ocab182>.

Luke Duttweiler

skipTrack

A Bayesian Hierarchical Model that Controls for Non-Adherence in
Mobile Menstrual Cycle Tracking

liSim function

<dl><dt>i</dt>
<dd>Individual identifier. Character, numeric or integer.</dd>
<dt>skipProb</dt>
<dd>Vector, ignored for this model.</dd>
<dt>maxCycles</dt>
<dd>Integer, Maximum possible number of true cycles per tracked cycle.</dd>
<dt>trueBetas</dt>
<dd>Optional. True values for generated mean regression coefficients.</dd>
<dt>trueGammas</dt>
<dd>NULL, left for consistency. Will throw error if specified.</dd>
<dt>avgCyclesPer</dt>
<dd>Average number of cycles contributed by each individual. Actual number is drawn from Poisson for each person. Default is 7.</dd></dl>

Arguments

Simulate user tracked menstrual cycle data for an individual using the li model. — liSim

<dl>

<dt>i</dt>
<dd>Individual identifier. Character, numeric or integer.</dd>


<dt>skipProb</dt>
<dd>Vector, ignored for this model.</dd>


<dt>maxCycles</dt>
<dd>Integer, Maximum possible number of true cycles per tracked cycle.</dd>


<dt>trueBetas</dt>
<dd>Optional. True values for generated mean regression coefficients.</dd>


<dt>trueGammas</dt>
<dd>NULL, left for consistency. Will throw error if specified.</dd>


<dt>avgCyclesPer</dt>
<dd>Average number of cycles contributed by each individual. Actual number is drawn from Poisson for each person. Default is 7.</dd>

</dl>

liSim: Simulate user tracked menstrual cycle data for an individual using the li model.

Description

Usage

Value

Arguments

See Also