BeSS-internal {BeSS} | R Documentation |
Internal BeSS functions
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)
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.
Canhong Wen, Aijun Zhang, Shijie Quan, and Xueqin Wang.
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.