Event_time

Survival Data simulated from the Crohn's disease original study: 48 taxa and 150 individuals

data

Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.

Toni Susin

coda4microbiome

Compositional Data Analysis for Microbiome Studies

Malu Calle

Meritxell Pujolassos

Event_time function

The dataset contains three objects:<dl>
<dt>x</dt>
<dd>microbiome abundance matrix for 150 individuals (rows) and 48 genera (columns)</dd><dt>Event</dt>
<dd>a <code>numeric</code>, event occurrence. Vector (type: numeric or logical) specifying 0 or FALSE for no event occurrence, and 1 or TRUE for event occurrence.</dd><dt>Event_time</dt>
<dd>a <code>numeric</code>, time to event or follow up time for right censored data. Must be a vector (type:numeric) specifying time to event for each sample for right censored data.</dd>
</dl>

Format

data_survival — Event_time

The dataset contains three objects:<dl>
<dt>x</dt>
<dd>microbiome abundance matrix for 150 individuals (rows) and 48 genera (columns)</dd>

<dt>Event</dt>
<dd>a <code>numeric</code>, event occurrence. Vector (type: numeric or logical) specifying 0 or FALSE for no event occurrence, and 1 or TRUE for event occurrence.</dd>

<dt>Event_time</dt>
<dd>a <code>numeric</code>, time to event or follow up time for right censored data. Must be a vector (type:numeric) specifying time to event for each sample for right censored data.</dd>


</dl>

Event_time: data_survival

Description

Arguments

Format

References