MEGB

cranv0.2

Gradient Boosting for Longitudinal Data. Gradient boosting is a powerful statistical learning method known for its ability to model complex relationships between predictors and outcomes while performing inherent variable selection. However, traditional gradient boosting methods lack flexibility in handling longitudinal data where within-su

License GPL-2strong copyleft0 versions1 maintainers3 deps132 weekly dl
https://CRAN.R-project.org/package=MEGB
45
/ 100
Health
safe to use

[email protected] is safe to use (health: 45/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (3)
statsgbmMASS
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/MEGB

First published · 2025-12-21 23:48:18

Last updated · 2025-12-21T22:00:02+00:00