# bess-internal: Internal BeSS functions In BeSS: Best Subset Selection in Linear, Logistic and CoxPH Models

## Description

Internal BeSS functions

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ```bess.lm(x, y, beta0, s, max.steps=20, factor = NULL, weights=rep(1,nrow(x)), normalize=FALSE) bess.glm(x, y, beta0, intercept=0, s, max.steps=20, glm.max=1e6, factor = NULL, weights=rep(1,nrow(x)), normalize=FALSE) bess.cox(x, y, beta0, s, cox.max=20, max.steps=20, factor=NULL, weights=rep(1,nrow(x)), normalize=FALSE) gbess.lm(x, y, Gi, beta0, s, max.steps = 20, weights=rep(1,nrow(x)), normalize=FALSE) gbess.glm(x, y, Gi, beta0, intercept=0, s, max.steps = 10, glm.max=1e6, weights=rep(1,nrow(x)), normalize=FALSE) gbess.cox(x, y, Gi, beta0, s, cox.max=20, max.steps=10, weights=rep(1,nrow(x)), normalize=FALSE) ```

## Details

These are not intended for use by users. `bess.lm`fit a linear regression model. `bess.glm`fit a logistic model. `bess.cox`fit a cox model.

## Author(s)

Canhong Wen, Aijun Zhang, Shijie Quan, and Xueqin Wang.

## References

Wen, C., Zhang, A., Quan, S. and Wang, X. (2017). BeSS: an R package for best subset selection in linear, logistic and CoxPH models. arXiv: 1709.06254.

BeSS documentation built on Jan. 30, 2018, 5:03 p.m.