lasso2

What it is

The lasso2 package provides functions for L1 constrained estimation or the lasso method in R, enabling efficient variable selection and regularization.

The lasso2 package stands out as an essential tool in the R ecosystem for performing L1 constrained estimation, offering efficient and robust methods for variable selection and regularization.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited support for modern R features

   lasso2 has not been updated in several years and does not leverage newer R functionalities or improvements.

2. 02

   Poor documentation and user support

   The package lacks comprehensive documentation, making it difficult for new users to understand how to use the functions effectively without deep statistical knowledge.

3. 03

   Performance issues with very large datasets

   lasso2 may struggle with computational efficiency when handling extremely large datasets due to its age and lack of optimization for modern computing environments.

What it does well

• L1 constrained estimation (lasso)

• Efficient variable selection and regularization

• Suitable for high-dimensional data analysis

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.