lucaDat

<p>Simulated data used to illustrate the luca package.</p>

datasets

Likelihood inference under covariate assumptions (LUCA) in case-control studies of a rare disease assuming independence or simple dependence of genetic and
non-genetic covariates.

Ji-Hyung Shin

luca

Likelihood Inference from Case-Control Data under Covariate
Assumptions

lucaDat function

<p>A data frame with 1000 observations on the following 4 variables:</p><table><tr><td>
[,1] </td>
<td> d </td>
<td> numeric </td>
<td> disease status (1=yes, 0=no) </td>
</tr><tr><td>
[,2] </td>
<td> g </td>
<td> factor </td>
<td> genetic factor with levels <code>A/A</code>, <code>A/C</code>, <code>C/C</code> </td>
</tr><tr><td>
[,3] </td>
<td> a </td>
<td> numeric </td>
<td> first non-genetic attribute </td>
</tr></table>

lucaDat: Simulated data for a hypothetical binary trait

Description

Usage

Arguments

Format

Examples

[,1]	d	numeric	disease status (1=yes, 0=no)
[,2]	g	factor	genetic factor with levels `A/A`, `A/C`, `C/C`
[,3]	a	numeric	first non-genetic attribute