bess-internal: Internal BeSS functions

Description Usage Details Author(s) References

Description

Internal BeSS functions

Usage

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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.lmfit a linear regression model. bess.glmfit a logistic model. bess.coxfit 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.