- Data analysis performed using computer-intensive methods to allow estimates of indicator levels to be made with useful precision using a small sample size.

- Assessment of multiple dimensions of need in older people (including prevalence of global, moderate and severe acute malnutrition) using, whenever possible, standard and well-tested indicators and question sets.

The RAM-OP method is based on the following principles:

- Use of a familiar “household survey” design employing a two-stage cluster sample design optimised to allow the use of a small primary sample (m ≥ 16 clusters) and a small overall (n ≥ 192) sample.

{oldr} is an implementation of the Rapid Assessment Method for Older People or RAM-OP. The method uses simple procedures, in a short time frame, and at considerably lower cost than other methods.

Finally, the package now includes a convenience function for performing weighted post-stratification estimation. Before, users had to create additional script to perform this analysis.

Key updates include the streamlining of the bootstrap resampling algorithm and the addition of the option to perform bootstrap resampling in parallel for a faster and more efficient process. The package is now also able to perform stratified bootstrap resampling out-of-the-box.