SIMEXBoost

cranv0.2.0

Boosting Method for High-Dimensional Error-Prone Data. Implementation of the boosting procedure with the simulation and extrapolation approach to address variable selection and estimation for high-dimensional data subject to measurement error in predictors. It can be used to address generalized linear models (GLM) in Chen (2023) <doi: 10.1007/s11222-023

License GPL-2strong copyleft0 versions1 maintainers1 deps68 weekly dl
https://CRAN.R-project.org/package=SIMEXBoost
33
/ 100
Health
use with caution

[email protected] low health (33/100) — consider alternatives

  • Low health score (33/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (1)
API access

Get this data programmatically — free, no authentication.

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

First published · 2023-11-16 16:57:28

Last updated · 2023-11-16T14:44:02+00:00

SIMEXBoost — Health Score 33/100 | DepScope