The Problem With Meta-Packages

Kevin Feasel



John Mount has a critique of meta-packages:

Derek Jones recently discussed a possible future for the R ecosystem in “StatsModels: the first nail in R’s coffin”.

This got me thinking on the future of CRAN (which I consider vital to R, and vital in distributing our work) in the era of super-popular meta-packages. Meta-packages are convenient, but they have a profoundly negative impact on the packages they exclude.

I’m not really sold on Jones’s argument, but I do think Mount has a good point.

Related Posts

From Excel to R: Three Examples

Abdul Majed Raja has a few examples of things which are easy to do in Excel and how you can do them in R: Create a difference variable between the current value and the next valueThis is also known as lead and lag – especially in a time series dataset this varaible becomes very important in feature engineering. In […]

Read More

Calculating AUC in R

Andrew Treadway shows how you can calculate Area Under the Curve in R: AUC is an important metric in machine learning for classification. It is often used as a measure of a model’s performance. In effect, AUC is a measure between 0 and 1 of a model’s performance that rank-orders predictions from a model. For […]

Read More


August 2018
« Jul Sep »