glmpath
L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is glmpath?
glmpath is an R package that provides a path of L1 regularized solutions to generalized linear models and Cox proportional hazards model, aiding in feature selection and model fitting with regularization.
Key differentiator
“glmpath stands out as an R package specifically designed to provide a path of L1 regularized solutions, making it ideal for feature selection in generalized linear models and survival analysis.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Researchers needing L1 regularization for feature selection in generalized linear models and survival analysis.
Academics working on statistical modeling who require a comprehensive path of solutions.
✕ Not a fit for
Developers looking for machine learning libraries with extensive model types beyond GLMs and Cox Models
Users requiring cloud-based or API-accessible services
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with glmpath
Step-by-step setup guide with code examples and common gotchas.