BeSS-internal {BeSS}R Documentation

Internal BeSS functions

Description

Internal BeSS functions

Usage

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 = 20, factor = NULL,
         weights = rep(1, nrow(x)), normalize = FALSE)
bess.cox(x, y, beta0, s, max.steps = 20,
         cox.max = 20, eta = 0.2, 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.


[Package BeSS version 1.0.6 Index]