intlen

This function calculates the optimal interval length for regularizing
irregular longitudinal data based on the given subject ID and time columns.

Convert irregularly spaced longitudinal data into regular intervals for further analysis,
and perform clustering using advanced machine learning techniques.
The package is designed for handling complex longitudinal datasets,
optimizing them for research in healthcare, demography, and other fields
requiring temporal data modeling.

Atanu Bhattacharjee

ILRCM

Convert Irregular Longitudinal Data to Regular Intervals and
Perform Clustering

Tanmoy  Majumdar

Gajendra  Kumar Vishwakarma

intlen function

<dl><dt>data</dt>
<dd>A data frame containing the irregular longitudinal data.</dd>
<dt>subject_col</dt>
<dd>The column name for unique subject IDs.</dd>
<dt>time_col</dt>
<dd>The column name for time points.</dd></dl>

Arguments

Preferred Interval Length for Regularizing Irregular Longitudinal Data — intlen

<dl>

<dt>data</dt>
<dd>A data frame containing the irregular longitudinal data.</dd>


<dt>subject_col</dt>
<dd>The column name for unique subject IDs.</dd>


<dt>time_col</dt>
<dd>The column name for time points.</dd>

</dl>

intlen: Preferred Interval Length for Regularizing Irregular Longitudinal Data

Description

Usage

Value

Arguments

Details

Examples